2023
Geeho Kim, Junoh Kang, and Bohyung Han , Open-Set Representation Learning through Combinatorial Embedding IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Dongwan Kim and Bohyung Han , On the Stability-Plasticity Dilemma of Class-Incremental Learning IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Jaeyoo Park and Bohyung Han , Multi-Modal Representation Learning with Text-Driven Soft Masks IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, and Bohyung Han , Variational Distribution Learning for Unsupervised Text-to-Image Generation Jonghyeon Seon, Jaedong Hwang, Jonghwan Mun, and Bohyung Han , Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition Doosoo Chang and Bohyung Han , Knowledge-Based Visual Context-Aware Framework for Applications in Robotic Services
2022
Jinyoung Choi and Bohyung Han , MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators , Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022 Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong-Euk Lee, and Bohyung Han , Information-Theoretic Generative Model Compression with Variational Energy-based Model Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, and Bohyung Han , Locally Hierarchical Auto-Regressive Modeling for Image Generation Heewon Kim, Seokil Hong, Bohyung Han , Heesoo Myeong, and, Kyoung Mu Lee, Fine-Grained Neural Architecture Search for Image Super-Resolution Minji Kim*, Seungkwan Lee*, Jungseul Ok, Bohyung Han , and Minsu Cho, Towards Sequence-Level Training for Visual Tracking Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han , Learning Semantic Segmentation from Multiple Datasets with Label Shifts Project Mijeong Kim, Sanghyeok Chu, and Bohyung Han, Beyond Homography: Nonparametric Image Alignment via Graph Convolutional Networks Jinkyu Kim*, Geeho Kim*, and Bohyung Han , Multi-Level Branched Regularization for Federated Learning, Ilchae Jung, Minji Kim, Eunhyeok Park, and Bohyung Han , Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, and Bohyung Han , Pooling Revisited: Your Receptive Field is Suboptima l Minsoo Kang, Jaeyoo Park, and Bohyung Han , Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Oral presentation Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, and Bohyung Han , Self-Supervised Dense Consistency Regularization for Image-to-Image Translation Mijeong Kim, Seonguk Seo, and Bohyung Han , InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering project Seonguk Seo, Joon-Young Lee, and Bohyung Han , Learning Debiased Representations with Pseudo-Attributes Seonguk Seo, Joon-Young Lee, and Bohyung Han , Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
2021
Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, and Bohyung Han , Learning Student-Friendly Teacher Networks for Knowledge Distillation Sanghyeok Chu, Dongwan Kim, and Bohyung Han , Learning Debiased and Disentangled Representations for Semantic Segmentation Myungseo Song, Jinyoung Choi, and Bohyung Han , Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform Jaeyoo Park, Minsoo Kang, and Bohyung Han , Class-Incremental Learning for Action Recognition in Videos Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, and Bohyung Han, RaScaNet: Learning Tiny Models by Raster-Scanning Images , IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021 Seungmin Lee*, Dongwan Kim*, and Bohyung Han , CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, and Bohyung Han , Exemplar-Based Open-Set Panoptic Segmentation Network Jaedong Hwang, Seohyun Kim, Jeany Son, Bohyung Han , Weakly Supervised Instance Segmentation by Deep Community Learning
2020
Seohyun Kim, Jaeyoo Park, Bohyung Han , Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud , Jaeyoo Park, Junha Kim, Bohyung Han, Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision Jinyoung Choi and Bohyung Han , Task-Aware Quantization Network for JPEG Image Compression Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, and Bohyung Han , Learning to Optimize Domain Specific Normalization for Domain Generalization Seonguk Seo, Joon-Young Lee, and Bohyung Han , URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark European Conference on Computer Vision (ECCV), Online, 2020 Tackgeun You and Bohyung Han , Traffic Accident Benchmark for Causality Recognition Minsoo Kang and Bohyung Han , Operation-Aware Soft Channel Pruning using Differentiable Masks Heung-Chang Lee, Do-Guk Kim, Bohyung Han , Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling Jonghwan Mun, Minsu Cho, and Bohyung Han , Local-Global Video-Text Interactions for Temporal Grounding Minsoo Kang*, Jonghwan Mun*, and Bohyung Han , Towards Oracle Knowledge Distillation with Neural Architecture Search Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han , and Radu Soricut, Reinforcing an Image Caption Generator Using Off-Line Human Feedback Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, and Bohyung Han , Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning Myungsub Choi, Heewon Kim, Ning Xu, Bohyung Han , and Kyoung Mu Lee, Channel Attention Is All You Need for Video Frame Interpolation Ruotian Luo, Ning Zhang, Bohyung Han , and Linjie Yang, Context-Aware Zero-Shot Recognition
2019
Paul Hongsuck Seo, Geeho Kim, Bohyung Han Combinatorial Inference against Label Noise Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho, Regularizing Neural Networks via Stochastic Branch Layers Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee, Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation Seonguk Seo*, Paul Hongsuck Seo*, Bohyung Han , Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han , Streamlined Dense Video Captioning Oral presentation Hyunwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han , Transfer Learning via Unsupervised Task Discovery for Visual Question Answering Woong-Gi Chang*, Tackgeun You*, Seonguk Seo*, Suha Kwak, Bohyung Han , Domain Specific Batch Normalization for Unsupervised Domain Adaptation Yumin Suh, Bohyung Han , Wonsik Kim, and Kyoung Mu Lee, Stochastic Class-based Hard Example Mining for Deep Metric Learning
2018
Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han , Learning to Specialize with Knowledge Distillation for Visual Question Answering Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han , Forget & Diversify: Regularized Refinement for Weakly Supervised Object Detection Oral presentation Ilchae Jung, Jeany Son, Mooyeol Baek, and Bohyung Han , Real-Time MDNet Paul Hongsuck Seo, Tobias Weyand, Jack Sim, Bohyung Han , CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han , Minsu Cho, Attentive Semantic Alignment using Offset-Aware Correlation Kernels Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, Bohyung Han, Progressive Attention Networks for Visual Attribute Prediction Phuc Nguyen*, Ting Liu*, Gautam Prasad, and Bohyung Han , Weakly Supervised Action Localization by Sparse Temporal Pooling Network Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han , and Hee-Kap Ahn, Product Quantized Translation for Fast Nearest Neighbor Search
2017
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, and Bohyung Han , Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han , and Leonid Sigal, Visual Reference Resolution using Attention Memory for Visual Dialog Seunghoon Hong, Suha Kwak, and Bohyung Han , Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, and Bohyung Han , Large-Scale Image Retrieval with Attentive Deep Local Features Project page Jonghwan Mun*, Paul Hongsuck Seo*, Ilchae Jung, and Bohyung Han , MarioQA: Answering Questions by Watching Gameplay Videos Project page Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, and Bohyung Han , Weakly Supervised Semantic Segmentation using Web-Crawled Videos Spotlight presentation Bohyung Han , Jack Sim, and Hartwig Adam, BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks Poster , Results Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han , Multi-Object Tracking with Quadruplet Convolutional Neural Networks Donghun Yeo, Jeany Son, Bohyung Han , and Joon H. Han, Superpixel-based Tracking-by-Segmentation using Markov Chains Jaehyeong Cho, Jae-Pil Heo, Taeyoung Kim, Bohyung Han , and Sung-Eui Yoon, Rank-based Voting with Inclusion Relationship for Accurate Image Search Kayoung Park, Seunghoon Hong, Mooyeol Baek, and Bohyung Han , Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking Suha Kwak, Seunghoon Hong, and Bohyung Han , Weakly Supervised Semantic Segmentation using Superpixel Pooling Network Oral presentation Jonghwan Mun, Minsu Cho, and Bohyung Han , Text-Guided Attention Model for Image Captioning Oral presentation
2016
Jaebong Lee, Bohyung Han , and Seungmoon Choi, Interactive Motion Effects Design for a Moving Object in 4D Films Jaebong Lee, Bohyung Han , and Seungmoon Choi, Motion Effects Synthesis for 4D Films Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han , and Larry S. Davis, Joint Image Clustering and Labeling by Matrix Factorization Hyeonseob Nam*, Mooyeol Baek*, and Bohyung Han , Modeling and Propagating CNNs in a Tree Structure for Visual Tracking The Winner of VOT 2016 Challenge Hyeonwoo Noh, Paul Hongsuck Seo, and Bohyung Han , Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction Oral presentation Project page Yong-Deok Kim, Taewoong Jang, Bohyung Han , Seungjin Choi, Learning to Select Pre-trained Deep Representations with Bayesian Evidence Framework Oral presentation Seunghoon Hong, Junhyuk Oh, Bohyung Han , and Honglak Lee, Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Spotlight presentation Project page Hyeonseob Nam and Bohyung Han , Learning Multi-Domain Convolutional Neural Networks for Visual Tracking The winner of VOT2015 challenge Project page Donghun Yeo, Bohyung Han , and Joon H. Han, Unsupervised Co-activity Detection from Multiple Videos Using Absorbing Markov Chain
2015
Seunghoon Hong*, Hyeonwoo Noh*, and Bohyung Han , Decoupled Deep Neural Network for Semi-Supervised Semantic Segmentation Spotlight presentation Project page Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han , Learning Deconvolution Network for Semantic Segmentation Project page Jeany Son, Ilchae Jung, Kayoung Park, and Bohyung Han , Tracking-by-Segmentation with Online Gradient Boosting Decision Tree Project page Seunghoon Hong, Tackgeun You, Suha Kwak, and Bohyung Han , Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network Project page Bohyung Han and Jihun Hamm, Qualitative Tracking Performance Evaluation without Ground-Truth Ahra Jo, Gil-Jin Jang, and Bohyung Han , Occlusion Detection using Horizontally Segmented Windows for Vehicle Tracking
2014
Jan Feyereisl, Suha Kwak, Jeany Son, and Bohyung Han , Object Localization based on Structural SVM using Privileged Information Seunghoon Hong and Bohyung Han , Visual Tracking by Sampling Tree-Structured Graphical Models Oral presentation Project page Hyeonseob Nam, Seunghoon Hong, and Bohyung Han , Online Graph-Based Tracking Project page Jongwoo Lim and Bohyung Han , Generalized Background Subtraction using Superpixels with Label Integrated Motion Estimation Code Suha Kwak, Bohyung Han , and Joon H. Han, Online Video Event Detection by Constraint Flow Woonhyun Nam, Bohyung Han , and Joon H. Han, Macrofeature Layout Selection for Pedestrian Localization and Its Acceleration Using GPU
2013
Seunghoon Hong, Suha Kwak, and Bohyung Han , Orderless Tracking through Model-Averaged Posterior Estimation Oral presentation Project page Taegyu Lim, Seunghoon Hong, Bohyung Han , and Joon H. Han, Joint Segmentation and Pose Tracking of Human in Natural Videos Dataset Suha Kwak, Bohyung Han , and Joon H. Han, Multi-Agent Event Detection: Localization and Role Assignment
2012
Suna Kim, Suha Kwak, Jan Feyereisl, and Bohyung Han , Online Multi-Target Tracking by Large Margin Structured Learning Sungwon Lee, Boeun Kim, Bongshin Lee, Bohyoung Kim, Bohyung Han , Nina K. Anderson, Richard A. Bruun, Stephen Shusterman, and Jinwook Seo, FaceReview: Supporting Interactive Exploration of Linked Heterogeneous Datasets for Unilateral Cleft Lip and Palate Hyeonwoo Noh and Bohyung Han , Seam Carving with Forward Gradient Difference Maps Juho Lee, Suha Kwak, Bohyung Han , and Seungjin Choi, On-line Video Segmentation by Bayesian Split-Merge Clustering Yoonho Hwang, Bohyung Han , and Hee-Kap Ahn, A Fast Nearest Neighbor Search Algorithm by Nonlinear Embedding Project Page Bohyung Han and Larry Davis, Density-Based Multi-Feature Background Subtraction with Support Vector Machine Taegyu Lim, Bohyung Han , and Joon H. Han, Modeling and Segmentation of Floating Foreground and Background in Videos
2011
Suha Kwak, Taegyu Lim, Woonhyun Nam, Bohyung Han , and Joon H. Han, Generalized Background Subtraction based on Hybrid Inference by Belief Propagation and Bayesian Filtering Project Page Suha Kwak, Woonhyun Nam, Bohyung Han , and Joon H. Han, Learning Occlusion with Likelihoods for Visual Tracking Project Page Woonhyun Nam, Bohyung Han , and Joon H. Han, Improving Object Localization Using Macrofeature Layout Selection Video Changkyu Song, Jeany Son, Suha Kwak, and Bohyung Han , Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking Suha Kwak, Bohyung Han , and Joon H. Han, Scenario-Based Video Event Recognition by Constraint Flow Project page (with code and dataset) Bohyung Han , Jihun Hamm, and Jack Sim, Personalized Video Summarization with Human in the Loop Bohyung Han , Seong-Wook Joo and Larry Davis, Multi-Camera Tracking with Adaptive Resource Allocation
2010 or Earlier
Juan Carlos Niebles, Bohyung Han , and Li Fei-Fei, Efficient Extraction of Human Motion Volumes by Tracking Bohyung Han , Ying Zhu, Dorin Comaniciu, and Larry Davis, Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework Bohyung Han and Larry Davis, Probabilistic Fusion-Based Parameter Estimation for Visual Tracking Juan Carlos Niebles, Bohyung Han , Andras Ferencz, and Li Fei-Fei, Extracting Moving People from Internet Videos Project page Bohyung Han , Dorin Comaniciu, Ying Zhu, and Larry Davis, Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking Bohyung Han and Ramesh Jain, Real-Time Subspace-Based Background Subtraction Using Multi-Channel Data Oral presentation Bohyung Han , Seong-Wook Joo, and Larry Davis, Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering Bohyung Han and Larry Davis, Semi-Parametric Model-Based Clustering for DNA Microarray Data Bohyung Han and Larry Davis, On-Line Density-Based Appearance Modeling for Object Tracking Oral presentation Bohyung Han and Larry Davis, Robust Observations for Object Tracking Bohyung Han , Ying Zhu, Dorin Comaniciu, and Larry Davis, Kernel-Based Bayesian Filtering for Object Tracking Bohyung Han and Larry Davis, Object Tracking by Adaptive Feature Extraction Bohyung Han , Dorin Comaniciu, Ying Zhu, and Larry Davis, Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking Bohyung Han , Dorin Comaniciu, and Larry Davis, Sequential Kernel Density Approximation through Mode Propagation: Applications to Background Modeling Oral presentation Seungjoon Lee, Bohyung Han , and Minho Shin, Robust Routing in Wireless Ad-Hoc Networks
