{"id":1417,"date":"2018-04-14T13:40:35","date_gmt":"2018-04-14T13:40:35","guid":{"rendered":"https:\/\/cv.snu.ac.kr\/?page_id=1417"},"modified":"2024-08-27T18:08:38","modified_gmt":"2024-08-27T09:08:38","slug":"publication-bhhan","status":"publish","type":"page","link":"https:\/\/cv.snu.ac.kr\/index.php\/bhhan\/publication-bhhan\/","title":{"rendered":"Publication &#8211; Bohyung Han"},"content":{"rendered":"<p>[et_pb_section bb_built=&#8221;1&#8243; _builder_version=&#8221;3.0.89&#8243; max_width_last_edited=&#8221;on|desktop&#8221; custom_margin_phone=&#8221;|||&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;10px|0px|52.358px|0px&#8221;][et_pb_row custom_padding=&#8221;50px|20px|25px|20px&#8221; custom_padding_phone=&#8221;|||&#8221; background_color=&#8221;#ffffff&#8221; padding_1_phone=&#8221;|||&#8221; padding_1_last_edited=&#8221;on|desktop&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;3.0.89&#8243; custom_margin_phone=&#8221;|||&#8221; custom_margin_last_edited=&#8221;on|desktop&#8221; box_shadow_style=&#8221;preset1&#8243;][et_pb_column type=&#8221;4_4&#8243;][et_pb_text ul_item_indent=&#8221;20px&#8221; _builder_version=&#8221;3.0.89&#8243; inline_fonts=&#8221;Zilla Slab&#8221; background_layout=&#8221;light&#8221;]<\/p>\n<h4><span style=\"font-size: x-large; font-weight: normal; font-family: 'Zilla Slab';\"><strong>Publication <\/strong><span style=\"font-size: medium;\"><strong>[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.snu.ac.kr\/~bhhan\">Back to the main page<\/a><\/span>]<\/strong><\/span><\/span><\/h4>\n<h4><\/h4>\n<h4><\/h4>\n<h4><span style=\"font-weight: normal; font-size: large; font-family: 'Zilla Slab';\"><strong>2023<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Geeho Kim, Junoh Kang, and <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\">Open-Set Representation Learning through Combinatorial Embedding<\/span><\/em>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Dongwan Kim and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em>On the Stability-Plasticity Dilemma of Class-Incremental Learning<\/em><\/span>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jaeyoo Park and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em>Multi-Modal Representation Learning with Text-Driven Soft Masks<\/em><\/span>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em>Variational Distribution Learning for Unsupervised Text-to-Image Generation<\/em><\/span>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jonghyeon Seon, Jaedong Hwang, Jonghwan Mun, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><em>Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition<\/em><\/span>, IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), 2023<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Doosoo Chang and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em>Knowledge-Based Visual Context-Aware Framework for Applications in Robotic Services<\/em><\/span>,&nbsp;IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV) Workshop, 2023<\/span><\/li>\n<\/ul>\n<h4><span style=\"font-weight: normal; font-size: large; font-family: 'Zilla Slab';\"><strong>2022<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-family: 'Zilla Slab'; font-size: medium;\">Jinyoung Choi and <\/span><strong style=\"font-family: 'Zilla Slab'; font-size: medium;\">Bohyung Han<\/strong><span style=\"font-family: 'Zilla Slab'; font-size: medium;\">, <\/span><span style=\"font-family: 'Zilla Slab'; font-size: medium; color: #006ac1;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2107.07260\"><em>MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators<\/em><\/a><\/span><span style=\"font-family: 'Zilla Slab'; font-size: medium;\">, Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong-Euk Lee, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em>Information-Theoretic Generative Model Compression with Variational Energy-based Model<\/em><\/span>, Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em>Locally Hierarchical Auto-Regressive Modeling for Image Generation<\/em><\/span>, Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Heewon Kim, Seokil Hong, <strong>Bohyung Han<\/strong>, Heesoo Myeong, and, Kyoung Mu Lee,&nbsp;<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1047320322001742\"><span style=\"color: #0c71c3;\"><em>Fine-Grained Neural Architecture Search for Image Super-Resolution<\/em><\/span><\/a>,&nbsp;Journal of Visual Communication and Image Representation, 89, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minji Kim*, Seungkwan Lee*, Jungseul Ok, <strong>Bohyung Han<\/strong>, and Minsu Cho, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2208.05810\"><em>Towards Sequence-Level Training for Visual Tracking<\/em><\/a><\/span>, European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2202.14030\"><em>Learning Semantic Segmentation from Multiple Datasets with Label Shifts<\/em><\/a><\/span>, European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/www.nec-labs.com\/~mas\/UniSeg\/\">Project<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Mijeong Kim,&nbsp;&nbsp;Sanghyeok Chu, and Bohyung Han,&nbsp;<em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s00138-022-01331-9\">Beyond Homography: Nonparametric Image Alignment via Graph Convolutional Networks<\/a><\/span><\/em>, Machine Vision and Applications,&nbsp;33 (89), 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jinkyu Kim*, Geeho Kim*, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/proceedings.mlr.press\/v162\/kim22a\/kim22a.pdf\"><em>Multi-Level Branched Regularization for Federated Learning,<\/em><\/a><\/span> International Conference on Machine Learning (ICML), Baltimore, MD, USA, 2022 (* equal contribution)<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Ilchae Jung, Minji Kim, Eunhyeok Park, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/www.ijcai.org\/proceedings\/2022\/0140.pdf\"><em>Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking<\/em><\/a><\/span>, International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, and <strong>Bohyung Han<\/strong>, <a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Jang_Pooling_Revisited_Your_Receptive_Field_Is_Suboptimal_CVPR_2022_paper.html\"><em><span style=\"color: #0c71c3;\">Pooling Revisited: Your Receptive Field is Suboptima<\/span>l<\/em><\/a>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minsoo Kang, Jaeyoo Park, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2204.00895\"><em>Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation<\/em><\/a><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA 2022&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span><\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Ko_Self-Supervised_Dense_Consistency_Regularization_for_Image-to-Image_Translation_CVPR_2022_paper.html\"><em>Self-Supervised Dense Consistency Regularization for Image-to-Image Translation<\/em><\/a><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Mijeong Kim, Seonguk Seo, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2112.15399\"><em>InfoNeRF:<\/em> <\/a><\/span><em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2112.15399\">Ray Entropy Minimization for Few-Shot Neural Volume Rendering<\/a><\/span>,<\/em> IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.snu.ac.kr\/research\/InfoNeRF\/\">project<\/a><\/span>] <\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seonguk Seo, Joon-Young Lee, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><em><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2108.02943\">Learning Debiased Representations with Pseudo-Attributes<\/a><\/em><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seonguk Seo, Joon-Young Lee, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/2201.03121\"><em>Information-Theoretic Bias Reduction via Causal View of Spurious Correlation<\/em><\/a><\/span>, The Thirty-sixth AAAI Conference (AAAI), Online, 2022<\/span><\/li>\n<\/ul>\n<h4><\/h4>\n<h4><span style=\"font-weight: normal; font-size: large; font-family: 'Zilla Slab';\"><strong>2021<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/papers.nips.cc\/paper\/2021\/hash\/6e7d2da6d3953058db75714ac400b584-Abstract.html\"><em>Learning Student-Friendly Teacher Networks for Knowledge Distillation<\/em><\/a><\/span>, Advances in Neural Information Processing Systems (NeurIPS), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Sanghyeok Chu, Dongwan Kim, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/papers.nips.cc\/paper\/2021\/hash\/465636eb4a7ff4b267f3b765d07a02da-Abstract.html\"><em>Learning Debiased and Disentangled Representations for Semantic Segmentation<\/em><\/a><\/span>, Advances in Neural Information Processing Systems (NeurIPS), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Myungseo Song, Jinyoung Choi, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/ICCV2021\/html\/Song_Variable-Rate_Deep_Image_Compression_Through_Spatially-Adaptive_Feature_Transform_ICCV_2021_paper.html\"><em>Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform<\/em><\/a><\/span>, International Conference on Computer Vision (ICCV), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jaeyoo Park, Minsoo Kang, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/ICCV2021\/html\/Park_Class-Incremental_Learning_for_Action_Recognition_in_Videos_ICCV_2021_paper.html\"><em>Class-Incremental Learning for Action Recognition in Videos<\/em><\/a><\/span>, International Conference on Computer Vision (ICCV), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-size: medium;\">Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, and <strong>Bohyung Han, <\/strong><\/span><span style=\"color: #0c71c3; font-size: medium;\"><a style=\"font-family: 'Zilla Slab'; color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2021\/html\/Yoo_RaScaNet_Learning_Tiny_Models_by_Raster-Scanning_Images_CVPR_2021_paper.html\"><em>RaScaNet: Learning Tiny Models by Raster-Scanning Images<\/em><\/a><\/span><span style=\"font-family: 'Zilla Slab'; font-size: medium;\">, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seungmin Lee*, Dongwan Kim*, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2021\/html\/Lee_CoSMo_Content-Style_Modulation_for_Image_Retrieval_With_Text_Feedback_CVPR_2021_paper.html\">CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback<\/a><\/em><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2021\/html\/Hwang_Exemplar-Based_Open-Set_Panoptic_Segmentation_Network_CVPR_2021_paper.html\">Exemplar-Based Open-Set Panoptic Segmentation Network<\/a><\/em><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jaedong Hwang, Seohyun Kim, Jeany Son, <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/WACV2021\/html\/Hwang_Weakly_Supervised_Instance_Segmentation_by_Deep_Community_Learning_WACV_2021_paper.html\"><em>Weakly Supervised Instance Segmentation by Deep Community Learning<\/em><\/a><\/span>, IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), Online, 2021<\/span><\/li>\n<\/ul>\n<h4><\/h4>\n<h4><span style=\"font-weight: normal; font-size: large; font-family: 'Zilla Slab';\"><strong>2020<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seohyun Kim, Jaeyoo Park, <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/5d0cb12f8c9ad6845110317afc6e2183-Abstract.html\"><em>Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud<\/em>,<\/a><\/span> Advances in Neural Information Processing Systems (NeurIPS), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jaeyoo Park, Junha Kim, Bohyung Han, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content\/ACCV2020\/html\/Park_Learning_to_Adapt_to_Unseen_Abnormal_Activities_under_Weak_Supervision_ACCV_2020_paper.html\"><em>Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision<\/em><\/a><\/span>, Asian Conference on Computer Vision (ACCV), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jinyoung Choi and <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/www.ecva.net\/papers\/eccv_2020\/papers_ECCV\/html\/3457_ECCV_2020_paper.php\">Task-Aware Quantization Network for JPEG Image Compression<\/a><\/span>,&nbsp;<\/em>European Conference on Computer Vision (ECCV), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, and <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/www.ecva.net\/papers\/eccv_2020\/papers_ECCV\/html\/3935_ECCV_2020_paper.php\">Learning to Optimize Domain Specific Normalization for Domain Generalization<\/a><\/span>,<\/em> European Conference on Computer Vision (ECCV), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seonguk Seo, Joon-Young Lee, and <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/www.ecva.net\/papers\/eccv_2020\/papers_ECCV\/html\/2327_ECCV_2020_paper.php\">URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark<\/a><\/span>,<\/em> European Conference on Computer Vision (ECCV), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Tackgeun You and <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/www.ecva.net\/papers\/eccv_2020\/papers_ECCV\/html\/312_ECCV_2020_paper.php\">Traffic Accident Benchmark for Causality Recognition<\/a><\/span>,<\/em>&nbsp;European Conference on Computer Vision (ECCV), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minsoo Kang and <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/proceedings.icml.cc\/static\/paper_files\/icml\/2020\/1485-Paper.pdf\">Operation-Aware Soft Channel Pruning using Differentiable Masks<\/a><\/span>,<\/em>&nbsp;International Conference on Machine Learning (ICML), Online 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Heung-Chang Lee, Do-Guk Kim, <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1910.10397\"><em>Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling<\/em><\/a><\/span>, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jonghwan Mun, Minsu Cho, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2020\/html\/Mun_Local-Global_Video-Text_Interactions_for_Temporal_Grounding_CVPR_2020_paper.html\"><em>Local-Global Video-Text Interactions for Temporal Grounding<\/em><\/a><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Minsoo Kang*, Jonghwan Mun*, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em><a style=\"color: #0c71c3;\" href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/5866\">Towards Oracle Knowledge Distillation with Neural Architecture Search<\/a><\/em><\/span>, The Thirty-fourth AAAI Conference (AAAI), New York, NY, USA, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, <strong>Bohyung Han<\/strong>, and Radu Soricut, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/5655\"><em>Reinforcing an Image Caption Generator Using Off-Line Human Feedback<\/em><\/a><\/span>, The Thirty-fourth AAAI Conference (AAAI), New York, NY, USA, 2020&nbsp;<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/ojs.aaai.org\/\/index.php\/AAAI\/article\/view\/6779\"><em>Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning<\/em><\/a><\/span>, The Thirty-fourth AAAI Conference (AAAI), New York, NY, USA, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Myungsub Choi, Heewon Kim, Ning Xu, <strong>Bohyung Han<\/strong>, and Kyoung Mu Lee, <span style=\"color: #0c71c3;\"><em><a style=\"color: #0c71c3;\" href=\"https:\/\/ojs.aaai.org\/\/index.php\/AAAI\/article\/view\/6693\">Channel Attention Is All You Need for Video Frame Interpolation<\/a><\/em><\/span>, The Thirty-fourth AAAI Conference (AAAI), New York, NY, USA, 2020<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Ruotian Luo, Ning Zhang, <strong>Bohyung Han<\/strong>, and Linjie Yang, <a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/6841\"><span style=\"color: #0c71c3;\"><em>Context-Aware Zero-Shot Recognition<\/em><\/span>,<\/a> The Thirty-fourth AAAI Conference (AAAI), New York, NY, USA, 2020<\/span><\/li>\n<\/ul>\n<h4><\/h4>\n<h4><span style=\"font-weight: normal; font-size: large; font-family: 'Zilla Slab';\"><strong>2019<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Paul Hongsuck Seo, Geeho Kim,&nbsp;<strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/papers.nips.cc\/paper\/2019\/hash\/0cb929eae7a499e50248a3a78f7acfc7-Abstract.html\"><em>Combinatorial Inference against Label Noise<\/em><\/a><\/span>, Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/proceedings.mlr.press\/v101\/park19a.html\">Regularizing Neural Networks via Stochastic Branch Layers<\/a><\/span>,<\/em> in ACML 2019<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content_ICCV_2019\/html\/Park_Continual_Learning_by_Asymmetric_Loss_Approximation_With_Single-Side_Overestimation_ICCV_2019_paper.html\"><em>Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation<\/em><\/a><\/span>, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Seonguk Seo*, Paul Hongsuck Seo*, <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><em><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/html\/Seo_Learning_for_Single-Shot_Confidence_Calibration_in_Deep_Neural_Networks_Through_CVPR_2019_paper.html\">Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences<\/a><\/em><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019 (* indicates equal contribution.)<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, <strong>Bohyung Han<\/strong>, <a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/html\/Mun_Streamlined_Dense_Video_Captioning_CVPR_2019_paper.html\"><span style=\"color: #0c71c3;\"><em>Streamlined Dense Video Captioning<\/em><\/span><\/a>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019 <span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span><\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Hyunwoo Noh, Taehoon Kim, Jonghwan Mun, <strong>Bohyung Han<\/strong>, <a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/html\/Noh_Transfer_Learning_via_Unsupervised_Task_Discovery_for_Visual_Question_Answering_CVPR_2019_paper.html\"><span style=\"color: #0c71c3;\"><em>Transfer Learning via Unsupervised Task Discovery for Visual Question Answering<\/em><\/span><\/a>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Woong-Gi Chang*, Tackgeun You*, Seonguk Seo*, Suha Kwak, <strong>Bohyung Han<\/strong>, <a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/html\/Chang_Domain-Specific_Batch_Normalization_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html\"><span style=\"color: #0c71c3;\"><em>Domain Specific Batch Normalization for Unsupervised Domain Adaptation<\/em><\/span><\/a>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019 (* indicates equal contribution.)<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab Highlight';\"><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Yumin Suh, <strong>Bohyung Han<\/strong>, Wonsik Kim, and Kyoung Mu Lee, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/html\/Suh_Stochastic_Class-Based_Hard_Example_Mining_for_Deep_Metric_Learning_CVPR_2019_paper.html\"><em>Stochastic Class-based Hard Example Mining for Deep Metric Learning<\/em><\/a><\/span>, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019<\/span><\/span><\/li>\n<\/ul>\n<h4><\/h4>\n<h4><span style=\"font-family: 'Zilla Slab'; font-weight: normal;\"><strong>2018<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jonghwan Mun, Kimin Lee, Jinwoo Shin, <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/cvlab.snu.ac.kr\">Learning to Specialize with Knowledge Distillation for Visual Question Answering<\/a><\/span><\/em>,&nbsp;Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018&nbsp;<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Jeany Son,&nbsp;Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, <strong>Bohyung Han<\/strong>, <em><span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.snu.ac.kr\">Forget &amp; Diversify: Regularized Refinement for Weakly Supervised Object Detection<\/a><\/span><\/em>, Asian Conference on Computer Vision (ACCV), Perth, Australia, 2018&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span><\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Ilchae Jung, Jeany Son, Mooyeol Baek, and <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1808.08834\"><em>Real-Time MDNet<\/em><\/a><\/span>, European Conference on Computer Vision (ECCV), Munich, Germany, 2018<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Paul Hongsuck Seo, Tobias Weyand, Jack Sim, <strong>Bohyung Han<\/strong>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1808.02130\"><em>CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps<\/em><\/a><\/span>, European Conference on Computer Vision (ECCV), Munich, Germany, 2018<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, <strong>Bohyung Han<\/strong>, Minsu Cho, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1808.02128\"><em>Attentive Semantic Alignment using Offset-Aware Correlation Kernels<\/em><\/a><\/span>, European Conference on Computer Vision (ECCV), Munich, Germany, 2018<\/span><\/li>\n<li><span style=\"font-family: 'Zilla Slab'; font-weight: normal; font-size: medium;\">Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, Bohyung Han, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1606.02393\"><em>Progressive Attention Networks for Visual Attribute Prediction<\/em><\/a><\/span>, British Machine Vision Conference (BMVC), New Castle, UK, 2018<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Phuc Nguyen*, Ting Liu*, Gautam Prasad,&nbsp;and&nbsp;<b>Bohyung Han<\/b>, <span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1712.05080\"><em>Weakly Supervised Action Localization by Sparse Temporal Pooling Network<\/em><\/a><\/span>,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018 (* indicates equal contribution.)<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Yoonho Hwang, Mooyeol Baek, Saehoon Kim,&nbsp;<b>Bohyung Han<\/b>, and Hee-Kap Ahn,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/\"><i>Product Quantized Translation for Fast Nearest Neighbor Search<\/i><\/a><\/span>,&nbsp;The Thirty-second AAAI Conference (AAAI), New Orleans, LA, USA, 2018<\/span><\/li>\n<\/ul>\n<h4><\/h4>\n<h4><\/h4>\n<h4><span style=\"font-weight: normal; font-family: 'Zilla Slab';\"><strong>2017<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/papers.nips.cc\/paper\/7096-regularizing-deep-neural-networks-by-noise-its-interpretation-and-optimization.pdf\"><i>Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization<\/i><\/a><\/span>,&nbsp;Advances in Neural Information Processing Systems (NIPS), Long Beach, CA, USA, 2017&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Paul Hongsuck Seo, Andreas Lehrmann,&nbsp;<b>Bohyung Han<\/b>, and Leonid Sigal,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/papers.nips.cc\/paper\/6962-visual-reference-resolution-using-attention-memory-for-visual-dialog.pdf\"><i>Visual Reference Resolution using Attention Memory for Visual Dialog<\/i><\/a><\/span>,&nbsp;Advances in Neural Information Processing Systems (NIPS), Long Beach, CA, USA, 2017&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Seunghoon Hong, Suha Kwak, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8103348\/\"><i>Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision<\/i><\/a><\/span>. IEEE Signal Processing Magazine, 34(6), 39-49, 2017<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/openaccess.thecvf.com\/content_ICCV_2017\/papers\/Noh_Large-Scale_Image_Retrieval_ICCV_2017_paper.pdf\"><i>Large-Scale Image Retrieval with Attentive Deep Local Features<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Venice, Italy, 2017 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/github.com\/tensorflow\/models\/tree\/master\/research\/delf\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Jonghwan Mun*, Paul Hongsuck Seo*, Ilchae Jung, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/openaccess.thecvf.com\/content_ICCV_2017\/papers\/Mun_MarioQA_Answering_Questions_ICCV_2017_paper.pdf\"><i>MarioQA: Answering Questions by Watching Gameplay Videos<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Venice, Italy, 2017 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/MarioQA\/\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/openaccess.thecvf.com\/content_cvpr_2017\/papers\/Hong_Weakly_Supervised_Semantic_CVPR_2017_paper.pdf\"><i>Weakly Supervised Semantic Segmentation using Web-Crawled Videos<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017&nbsp;<span style=\"color: #e02b20;\"><b>Spotlight presentation<\/b><\/span><\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\"><b>Bohyung Han<\/b>, Jack Sim, and Hartwig Adam,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/openaccess.thecvf.com\/content_cvpr_2017\/papers\/Han_BranchOut_Regularization_for_CVPR_2017_paper.pdf\"><i>BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/files\/BranchOut_CVPR17_Poster.pdf\">Poster<\/a>,&nbsp;<a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/files\/BranchOut_results.zip\">Results<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Jeany Son, Mooyeol Baek, Minsu Cho, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/openaccess.thecvf.com\/content_cvpr_2017\/papers\/Son_Multi-Object_Tracking_With_CVPR_2017_paper.pdf\"><i>Multi-Object Tracking with Quadruplet Convolutional Neural Networks<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Donghun Yeo, Jeany Son,&nbsp;<b>Bohyung Han<\/b>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/openaccess.thecvf.com\/content_cvpr_2017\/papers\/Yeo_Superpixel-Based_Tracking-By-Segmentation_Using_CVPR_2017_paper.pdf\"><i>Superpixel-based Tracking-by-Segmentation using Markov Chains<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Jaehyeong Cho, Jae-Pil Heo, Taeyoung Kim, <strong>Bohyung Han<\/strong>, and Sung-Eui Yoon,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s00371-017-1371-z\"><i>Rank-based Voting with Inclusion Relationship for Accurate Image Search<\/i><\/a><\/span>, The Visual Computer 33(6), 2017 (Special Issue for Computer Graphics International 2017)&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab';\"><span style=\"font-size: medium;\">Kayoung Park, Seunghoon Hong, Mooyeol Baek, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7926722\/?part=1\"><i>Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking<\/i><\/a><\/span>, IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, CA, 2017<\/span><\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Suha Kwak, Seunghoon Hong, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/aaai.org\/ocs\/index.php\/AAAI\/AAAI17\/paper\/view\/14445\"><i>Weakly Supervised Semantic Segmentation using Superpixel Pooling Network<\/i><\/a><\/span>, The Thirty-first AAAI Conference (AAAI), San Francisco, CA, USA, 2017&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span><\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Jonghwan Mun, Minsu Cho, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/arxiv.org\/abs\/1612.03557\"><i>Text-Guided Attention Model for Image Captioning<\/i><\/a><\/span>, The Thirty-first AAAI Conference (AAAI), San Francisco, CA, USA, 2017&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span><\/span><\/li>\n<\/ul>\n<h4><\/h4>\n<h4><span style=\"font-weight: normal; font-family: 'Zilla Slab';\"><strong>2016<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Jaebong Lee, <strong>Bohyung Han<\/strong>, and Seungmoon Choi,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/doi.org\/10.1145\/2993369.2993389\"><i>Interactive Motion Effects Design for a Moving Object in 4D Films<\/i><\/a><\/span>, ACM Symposium on Virtual Reality Software and Technology (VRST), Munich, Germany, 2016&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Jaebong Lee, <strong>Bohyung Han<\/strong>, and Seungmoon Choi,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/pubs.html\"><i>Motion Effects Synthesis for 4D Films<\/i><\/a><\/span>, IEEE Transations on Visualization and Computer Graphics, 22(10), 2300-2314, 2016<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Seunghoon Hong, Jonghyun Choi, Jan Feyereisl,&nbsp;<b>Bohyung Han<\/b>, and Larry S. Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/tpami2015_sonmf.pdf\"><i>Joint Image Clustering and Labeling by Matrix Factorization<\/i><\/a><\/span>, IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7), 1411-1424, 2016<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Hyeonseob Nam*, Mooyeol Baek*, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/arxiv.org\/abs\/1608.07242\"><i>Modeling and Propagating CNNs in a Tree Structure for Visual Tracking<\/i><\/a><\/span>, arXiv:1608.07242, 2016&nbsp;<span style=\"color: #e02b20;\"><b>The Winner of VOT 2016 Challenge<\/b><\/span>&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Hyeonwoo Noh, Paul Hongsuck Seo, and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/arxiv.org\/abs\/1511.05756\"><i>Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016&nbsp;<b><span style=\"color: #e02b20;\">Oral presentation<\/span>&nbsp;<\/b>[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/dppnet\/\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Yong-Deok Kim, Taewoong Jang,&nbsp;<b>Bohyung Han<\/b>, Seungjin Choi,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/arxiv.org\/abs\/1506.02565\"><i>Learning to Select Pre-trained Deep Representations with Bayesian Evidence Framework<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016&nbsp;<b><span style=\"color: #e02b20;\">Oral presentation<\/span>&nbsp;<\/b><\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Seunghoon Hong, Junhyuk Oh,&nbsp;<b>Bohyung Han<\/b>, and Honglak Lee,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/arxiv.org\/abs\/1512.07928\"><i>Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016&nbsp;<b><span style=\"color: #e02b20;\">Spotlight presentation<\/span>&nbsp;<\/b>[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/transfernet\/\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-size: medium; font-weight: normal; font-family: 'Zilla Slab';\">Hyeonseob Nam and&nbsp;<b>Bohyung Han<\/b>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/arxiv.org\/abs\/1510.07945\"><i>Learning Multi-Domain Convolutional Neural Networks for Visual Tracking<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016&nbsp;<b><span style=\"color: #e02b20;\">The winner of VOT2015 challenge<\/span>&nbsp;<\/b>[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/mdnet\/\">Project page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab';\"><span style=\"font-size: medium;\">Donghun Yeo, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/aaai2016_coactivity\"><i>Unsupervised Co-activity Detection from Multiple Videos Using Absorbing Markov Chain<\/i><\/a><\/span>, The Thirtieth AAAI Conference (AAAI), Phoenix, AZ, USA, 2016<\/span><\/span><\/li>\n<\/ul>\n<h4><span style=\"font-weight: normal; font-family: 'Zilla Slab';\"><strong> <span style=\"font-size: large;\">2015<\/span><\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Seunghoon Hong*, Hyeonwoo Noh*, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/papers.nips.cc\/paper\/5858-decoupled-deep-neural-network-for-semi-supervised-semantic-segmentation.pdf\"><i>Decoupled Deep Neural Network for Semi-Supervised Semantic Segmentation<\/i><\/a><\/span>, Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, 2015&nbsp;<b><span style=\"color: #e02b20;\">Spotlight presentation<\/span>&nbsp;<\/b>(* indicates equal contribution.)&nbsp;[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/decouplednet\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Hyeonwoo Noh, Seunghoon Hong, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/www.cv-foundation.org\/openaccess\/content_iccv_2015\/papers\/Noh_Learning_Deconvolution_Network_ICCV_2015_paper.pdf\"><i>Learning Deconvolution Network for Semantic Segmentation<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Santiago, chile, 2015&nbsp;[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/deconvnet\/\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Jeany Son, Ilchae Jung, Kayoung Park, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/www.cv-foundation.org\/openaccess\/content_iccv_2015\/papers\/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf\"><i>Tracking-by-Segmentation with Online Gradient Boosting Decision Tree<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Santiago, Chile, 2015 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/ogbdt_track\/\">Project page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Seunghoon Hong, Tackgeun You, Suha Kwak, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/hong15.pdf\"><i>Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network<\/i><\/a><\/span>, International Conference on Machine Learning (ICML), Lille, France, 2015 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/CNN_SVM\">Project page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\"><strong>Bohyung Han<\/strong> and Jihun Hamm,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/wacv2015_pe.pdf\"><i>Qualitative Tracking Performance Evaluation without Ground-Truth<\/i><\/a><\/span>, IEEE Winter Conference on Applications of Computer Vision (WACV), Big Island, HI, 2015&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Ahra Jo, Gil-Jin Jang, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/mtap_tracking.pdf\"><i>Occlusion Detection using Horizontally Segmented Windows for Vehicle Tracking<\/i><\/a><\/span>, Multimedia Tools and Applications, 74(1), 227-243, 2015<\/span><\/li>\n<\/ul>\n<h4><span style=\"font-size: large; font-weight: normal; font-family: 'Zilla Slab';\"><strong>2014<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Jan Feyereisl, Suha Kwak, Jeany Son, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/papers.nips.cc\/paper\/5561-object-localization-based-on-structural-svm-using-privileged-information.pdf\"><i>Object Localization based on Structural SVM using Privileged Information<\/i><\/a><\/span>, Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, 2014&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Seunghoon Hong and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/eccv2014_tst.pdf\"><i>Visual Tracking by Sampling Tree-Structured Graphical Models<\/i><\/a><\/span>, European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span>&nbsp;[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/beyondchainmodels\/\">Project page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Hyeonseob Nam, Seunghoon Hong, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/eccv2014_ogt.pdf\"><i>Online Graph-Based Tracking<\/i><\/a><\/span>, European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/beyondchainmodels\/\">Project page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Jongwoo Lim and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/eccv2014_gbs.pdf\"><i>Generalized Background Subtraction using Superpixels with Label Integrated Motion Estimation<\/i><\/a><\/span>, European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"https:\/\/github.com\/jwlim\/gbssplime\">Code<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Suha Kwak, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6682891&amp;tag=1\"><i>Online Video Event Detection by Constraint Flow<\/i><\/a><\/span>, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 26(6), 1174-1186, 2014<\/span><\/li>\n<li><span style=\"font-weight: normal; font-size: medium; font-family: 'Zilla Slab';\">Woonhyun Nam, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1077314213002026\"><i>Macrofeature Layout Selection for Pedestrian Localization and Its Acceleration Using GPU<\/i><\/a><\/span>, Computer Vision and Image Understanding, Vol. 120(3), 46-58, 2014<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">&nbsp;<\/span><\/p>\n<h4><span style=\"font-size: large;\"><strong><span style=\"font-family: 'Zilla Slab';\">2013<\/span><\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Seunghoon Hong, Suha Kwak, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2013_tracking.pdf\"><i>Orderless Tracking through Model-Averaged Posterior Estimation<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Sydney, Australia, 2013&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation<\/b><\/span>&nbsp;[<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/research\/beyondchainmodels\/\">Project page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Taegyu Lim, Seunghoon Hong, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2013_pose.pdf\"><i>Joint Segmentation and Pose Tracking of Human in Natural Videos<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cv.postech.ac.kr\/~maga33\/pose_Data.zip\">Dataset<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Suha Kwak, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cvpr2013_event.pdf\"><i>Multi-Agent Event Detection: Localization and Role Assignment<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">&nbsp;<\/span><\/p>\n<h4><span style=\"font-size: large;\"><strong><span style=\"font-family: 'Zilla Slab';\">2012<\/span><\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Suna Kim, Suha Kwak, Jan Feyereisl, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/accv2012.pdf\"><i>Online Multi-Target Tracking by Large Margin Structured Learning<\/i><\/a><\/span>, Asian Conference on Computer Vision (ACCV), Daejeon, Korea, 2012<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Sungwon Lee, Boeun Kim, Bongshin Lee, Bohyoung Kim, <strong>Bohyung Han<\/strong>, Nina K. Anderson, Richard A. Bruun, Stephen Shusterman, and Jinwook Seo,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3540583\/\"><i>FaceReview: Supporting Interactive Exploration of Linked Heterogeneous Datasets for Unilateral Cleft Lip and Palate<\/i><\/a><\/span>, AMIA 2012 Annual Symposium, Chicago, IL, 2012<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Hyeonwoo Noh and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/acmmm2012.pdf\"><i>Seam Carving with Forward Gradient Difference Maps<\/i><\/a><\/span>, ACM Multimedia (MM), Nara, Japan, 2012 (short paper)<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Juho Lee, Suha Kwak, <strong>Bohyung Han<\/strong>, and Seungjin Choi,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/eccv2012.pdf\"><i>On-line Video Segmentation by Bayesian Split-Merge Clustering<\/i><\/a><\/span>, European Conference on Computer Vision (ECCV), Firenze, Italy, 2012<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Yoonho Hwang, <strong>Bohyung Han<\/strong>, and Hee-Kap Ahn,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cvpr2012_fnn.pdf\"><i>A Fast Nearest Neighbor Search Algorithm by Nonlinear Embedding<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, 2012 <\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong> and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/pami_bgs.pdf\"><i>Density-Based Multi-Feature Background Subtraction with Support Vector Machine<\/i><\/a><\/span>, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34(5), 1017-1023, 2012<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Taegyu Lim, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/pr_fgbg_2012.pdf\"><i>Modeling and Segmentation of Floating Foreground and Background in Videos<\/i><\/a><\/span>, Pattern Recognition, Vol. 45(4), 1696-1706, 2012<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">&nbsp;<\/span><\/p>\n<h4><span style=\"font-size: large;\"><strong><span style=\"font-family: 'Zilla Slab';\">2011<\/span><\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Suha Kwak, Taegyu Lim, Woonhyun Nam, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2011_gbs.pdf\"><i>Generalized Background Subtraction based on Hybrid Inference by Belief Propagation and Bayesian Filtering<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cv.postech.ac.kr\/research\/gbs\/\">Project Page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Suha Kwak, Woonhyun Nam, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2011_occlusion.pdf\"><i>Learning Occlusion with Likelihoods for Visual Tracking<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cv.postech.ac.kr\/research\/occlusion\/\">Project Page<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Woonhyun Nam, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2011vs_ped.pdf\"><i>Improving Object Localization Using Macrofeature Layout Selection<\/i><\/a><\/span>, IEEE Int&#8217;l Workshop on Visual Surveillance in conjunction with ICCV, Barcelona, Spain, 2011 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/www.youtube.com\/watch?v=oxmTC938P8k\">Video<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Changkyu Song, Jeany Son, Suha Kwak, and <strong>Bohyung Han<\/strong>,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/bmvc2011_resource.pdf\"><i>Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking<\/i><\/a><\/span>, British Machine Vision Conference (BMVC), Dundee, UK, 2011<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Suha Kwak, <strong>Bohyung Han<\/strong>, and Joon H. Han,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cvpr2011_event.pdf\"><i>Scenario-Based Video Event Recognition by Constraint Flow<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, USA, 2011 [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cv.postech.ac.kr\/research\/constflow\">Project page (with code and dataset)<\/a><\/span>]<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Jihun Hamm, and Jack Sim,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/wacv2011.pdf\"><i>Personalized Video Summarization with Human in the Loop<\/i><\/a><\/span>, IEEE Workshop on Applications of Computer Vision (WACV), Kona, HI, USA, 2011<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Seong-Wook Joo and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/ijcv_mkbf.pdf\"><i>Multi-Camera Tracking with Adaptive Resource Allocation<\/i><\/a><\/span>, Int&#8217;l Journal of Computer Vision, Vol. 91(1), 45-58, 2011<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">&nbsp;<\/span><\/p>\n<h4><span style=\"font-size: large;\"><strong><span style=\"font-family: 'Zilla Slab';\">2010 or Earlier<\/span><\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Juan Carlos Niebles, <strong>Bohyung Han<\/strong>, and Li Fei-Fei,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cvpr2010.pdf\"><i>Efficient Extraction of Human Motion Volumes by Tracking<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, 2010<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Ying Zhu, Dorin Comaniciu, and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/pami2009_kbf.pdf\"><i>Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework<\/i><\/a><\/span>, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31(5), 919-930, 2009&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong> and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cviu2009_fuse.pdf\"><i>Probabilistic Fusion-Based Parameter Estimation for Visual Tracking<\/i><\/a><\/span>, Computer Vision and Image Understanding, Vol. 113(4), 435-445, 2009<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Juan Carlos Niebles, <strong>Bohyung Han<\/strong>, Andras Ferencz, and Li Fei-Fei,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/eccv2008.pdf\"><i>Extracting Moving People from Internet Videos<\/i><\/a><\/span>, European Conference on Computer Vision (ECCV), Marseille, France, 2008, [<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/vision.stanford.edu\/projects\/extractingPeople.html\">Project page<\/a><\/span>]&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Dorin Comaniciu, Ying Zhu, and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/pami_skda.pdf\"><i>Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking<\/i><\/a><\/span>, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30(7), 1186-1197, 2008&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong> and Ramesh Jain,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/isvc2007.pdf\"><i>Real-Time Subspace-Based Background Subtraction Using Multi-Channel Data<\/i><\/a><\/span>, International Symposium on Visual Computing (ISVC), Lake Tahoe, USA, 2007&nbsp;<b><span style=\"color: #e02b20;\">Oral presentation<\/span>&nbsp;<\/b><\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Seong-Wook Joo, and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2007.pdf\"><i>Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering<\/i><\/a><\/span>, International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 2007&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong> and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/icpr2006.pdf\"><i>Semi-Parametric Model-Based Clustering for DNA Microarray Data<\/i><\/a><\/span>, International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong> and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/iccv2005.pdf\"><i>On-Line Density-Based Appearance Modeling for Object Tracking<\/i><\/a><\/span>, International Conference on Computer vision (ICCV), Beijing, China, 2005&nbsp;<b><span style=\"color: #e02b20;\">Oral presentation<\/span>&nbsp;<\/b><\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong> and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/icip2005.pdf\"><i>Robust Observations for Object Tracking<\/i><\/a><\/span>, International Conference on Image Processing (ICIP), Genova, Italy, 2005&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Ying Zhu, Dorin Comaniciu, and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cvpr2005_bayesian.pdf\"><i>Kernel-Based Bayesian Filtering for Object Tracking<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA, 2005&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>&nbsp;and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/icip2004.pdf\"><i>Object Tracking by Adaptive Feature Extraction<\/i><\/a><\/span>, International Conference on Image Processing (ICIP), Singapore, 2004&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Dorin Comaniciu, Ying Zhu, and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/cvpr2004.pdf\"><i>Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking<\/i><\/a><\/span>, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC, USA, 2004&nbsp;<\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\"><strong>Bohyung Han<\/strong>, Dorin Comaniciu, and Larry Davis,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/accv2004.pdf\"><i>Sequential Kernel Density Approximation through Mode Propagation: Applications to Background Modeling<\/i><\/a><\/span>, Asian Conference on Computer Vision (ACCV), Jeju Island, Korea, 2004&nbsp;<span style=\"color: #e02b20;\"><b>Oral presentation&nbsp;<\/b><\/span><\/span><\/li>\n<li><span style=\"font-weight: normal; font-family: 'Zilla Slab'; font-size: medium;\">Seungjoon Lee, <strong>Bohyung Han<\/strong>, and Minho Shin,&nbsp;<span style=\"color: #0c71c3;\"><a style=\"color: #0c71c3;\" href=\"http:\/\/cvlab.postech.ac.kr\/~bhhan\/papers\/robust_routing_lee_han_shin.pdf\"><i>Robust Routing in Wireless Ad-Hoc Networks<\/i><\/a><\/span>, IEEE International Workshop on Ad-Hoc Networking (IWAHN) in conjunction with ICPP, Vancouver, Canada, 2002<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;3.0.89&#8243;][et_pb_column type=&#8221;4_4&#8243;][et_pb_code _builder_version=&#8221;3.0.89&#8243;]&lt;!&#8211; Start of Google Analytics &#8211;&gt;&lt;!&#8211; [et_pb_line_break_holder] &#8211;&gt;&lt;script type=&quot;text\/javascript&quot; language=&quot;javascript&quot;&gt;&lt;!&#8211; [et_pb_line_break_holder] &#8211;&gt; (function(i,s,o,g,r,a,m){i[&#x27;GoogleAnalyticsObject&#x27;]=r;i[r]=i[r]||function(){&lt;!&#8211; [et_pb_line_break_holder] &#8211;&gt; 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_builder_version=&#8221;3.0.89&#8243; inline_fonts=&#8221;Zilla Slab&#8221; background_layout=&#8221;light&#8221;] Publication [Back to the main page] 2023 Geeho Kim, Junoh Kang, and Bohyung Han, Open-Set Representation Learning through Combinatorial Embedding,&nbsp;IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Dongwan Kim and [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":1232,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1417","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/1417","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/comments?post=1417"}],"version-history":[{"count":132,"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/1417\/revisions"}],"predecessor-version":[{"id":3728,"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/1417\/revisions\/3728"}],"up":[{"embeddable":true,"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/1232"}],"wp:attachment":[{"href":"https:\/\/cv.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/media?parent=1417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}