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2020 – today
- 2024
[c66]Hyeonjun Lee, Sehyun Hwang, Suha Kwak:
Extreme Point Supervised Instance Segmentation. CVPR 2024: 17212-17222- [c65]Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Active Label Correction for Semantic Segmentation with Foundation Models. ICML 2024 - [c64]Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak:
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. ICML 2024 - [c63]Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, Suha Kwak:
Extending CLIP's Image-Text Alignment to Referring Image Segmentation. NAACL-HLT 2024: 4611-4628 - [c62]Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim:
Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. WACV 2024: 615-624 - [c61]Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho:
Optical Flow Domain Adaptation via Target Style Transfer. WACV 2024: 2100-2110 - [c60]Donghyeon Kwon, Minsu Cho, Suha Kwak:
Self-supervised Learning of Semantic Correspondence Using Web Videos. WACV 2024: 2131-2141 - [i52]Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Active Label Correction for Semantic Segmentation with Foundation Models. CoRR abs/2403.10820 (2024) - [i51]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models into Conditional GANs. CoRR abs/2405.05967 (2024) - [i50]Hyeonjun Lee, Sehyun Hwang, Suha Kwak:
Extreme Point Supervised Instance Segmentation. CoRR abs/2405.20729 (2024) - [i49]Sohyun Lee, Namyup Kim, Sungyeon Kim, Suha Kwak:
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions. CoRR abs/2407.13437 (2024) - [i48]Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak:
Classification Matters: Improving Video Action Detection with Class-Specific Attention. CoRR abs/2407.19698 (2024) - [i47]Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak:
Online Temporal Action Localization with Memory-Augmented Transformer. CoRR abs/2408.02957 (2024) - [i46]Sungyeon Kim, Boseung Jeong, Donghyun Kim, Suha Kwak:
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models. CoRR abs/2408.05749 (2024) - [i45]Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak:
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. CoRR abs/2409.03303 (2024) - [i44]Jicheol Park, Dongwon Kim, Boseung Jeong, Suha Kwak:
PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery. CoRR abs/2409.13475 (2024) - 2023
- [c59]Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak:
Human Pose Estimation in Extremely Low-Light Conditions. CVPR 2023: 704-714 - [c58]Sungyeon Kim, Boseung Jeong, Suha Kwak:
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. CVPR 2023: 19903-19912 - [c57]Dongwon Kim, Namyup Kim, Suha Kwak:
Improving Cross-Modal Retrieval with Set of Diverse Embeddings. CVPR 2023: 23422-23431 - [c56]Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Adaptive Superpixel for Active Learning in Semantic Segmentation. ICCV 2023: 943-953 - [c55]Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak:
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision. ICCV 2023: 15501-15511 - [c54]Junhyeong Cho
, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak:
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization. ICCV 2023: 15656-15666 - [c53]Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak:
Leveraging Proxy of Training Data for Test-Time Adaptation. ICML 2023: 15737-15752 - [c52]Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak:
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. ICRA 2023: 9281-9288 - [c51]Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho:
Activity Grammars for Temporal Action Segmentation. NeurIPS 2023 - [c50]Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak:
Active Learning for Semantic Segmentation with Multi-class Label Query. NeurIPS 2023 - [i43]Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak:
Human Pose Estimation in Extremely Low-Light Conditions. CoRR abs/2303.15410 (2023) - [i42]Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Adaptive Superpixel for Active Learning in Semantic Segmentation. CoRR abs/2303.16817 (2023) - [i41]Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak:
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization. CoRR abs/2307.15199 (2023) - [i40]Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh:
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective. CoRR abs/2308.00994 (2023) - [i39]Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak:
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision. CoRR abs/2308.15512 (2023) - [i38]Sungyeon Kim, Donghyun Kim, Suha Kwak:
Universal Metric Learning with Parameter-Efficient Transfer Learning. CoRR abs/2309.08944 (2023) - [i37]Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak:
Active Learning for Semantic Segmentation with Multi-class Label Query. CoRR abs/2309.09319 (2023) - [i36]Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak:
Towards More Practical Group Activity Detection: A New Benchmark and Model. CoRR abs/2312.02878 (2023) - [i35]Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho:
Activity Grammars for Temporal Action Segmentation. CoRR abs/2312.04266 (2023) - 2022
- [j3]Namyup Kim, Sehyun Hwang, Suha Kwak:
Learning to Detect Semantic Boundaries with Image-Level Class Labels. Int. J. Comput. Vis. 130(9): 2131-2148 (2022) - [c49]Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho:
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. ACCV (5) 2022: 54-70 - [c48]Juwon Kang, Sohyun Lee, Namyup Kim, Suha Kwak:
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization. CVPR 2022: 7120-7130 - [c47]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Self-Taught Metric Learning without Labels. CVPR 2022: 7421-7431 - [c46]Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho:
Reflection and Rotation Symmetry Detection via Equivariant Learning. CVPR 2022: 9529-9538 - [c45]Donghyeon Kwon, Suha Kwak:
Semi-supervised Semantic Segmentation with Error Localization Network. CVPR 2022: 9947-9957 - [c44]Namyup Kim, Dongwon Kim, Suha Kwak, Cuiling Lan, Wenjun Zeng:
ReSTR: Convolution-free Referring Image Segmentation Using Transformers. CVPR 2022: 18124-18133 - [c43]Sohyun Lee, Taeyoung Son, Suha Kwak:
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. CVPR 2022: 18889-18899 - [c42]Junhyeong Cho, Youngseok Yoon, Suha Kwak:
Collaborative Transformers for Grounded Situation Recognition. CVPR 2022: 19627-19636 - [c41]Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak:
Detector-Free Weakly Supervised Group Activity Recognition. CVPR 2022: 20051-20061 - [c40]Kyungmoon Lee, Sungyeon Kim, Suha Kwak:
Cross-domain Ensemble Distillation for Domain Generalization. ECCV (25) 2022: 1-20 - [c39]Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak:
Combating Label Distribution Shift for Active Domain Adaptation. ECCV (33) 2022: 549-566 - [c38]Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak:
Learning Debiased Classifier with Biased Committee. NeurIPS 2022 - [i34]Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak:
Learning to Generate Novel Classes for Deep Metric Learning. CoRR abs/2201.01008 (2022) - [i33]Junhyeong Cho, Youngseok Yoon, Suha Kwak:
Collaborative Transformers for Grounded Situation Recognition. CoRR abs/2203.16518 (2022) - [i32]Namyup Kim, Dongwon Kim, Cuiling Lan, Wenjun Zeng, Suha Kwak:
ReSTR: Convolution-free Referring Image Segmentation Using Transformers. CoRR abs/2203.16768 (2022) - [i31]Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho:
Reflection and Rotation Symmetry Detection via Equivariant Learning. CoRR abs/2203.16787 (2022) - [i30]Sohyun Lee, Taeyoung Son, Suha Kwak:
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. CoRR abs/2204.01587 (2022) - [i29]Donghyeon Kwon, Suha Kwak:
Semi-supervised Semantic Segmentation with Error Localization Network. CoRR abs/2204.02078 (2022) - [i28]Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak:
Detector-Free Weakly Supervised Group Activity Recognition. CoRR abs/2204.02139 (2022) - [i27]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Self-Taught Metric Learning without Labels. CoRR abs/2205.01903 (2022) - [i26]Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak:
Learning Debiased Classifier with Biased Committee. CoRR abs/2206.10843 (2022) - [i25]Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak:
Combating Label Distribution Shift for Active Domain Adaptation. CoRR abs/2208.06604 (2022) - [i24]Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho:
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. CoRR abs/2211.07116 (2022) - [i23]Kyungmoon Lee, Sungyeon Kim, Suha Kwak:
Cross-Domain Ensemble Distillation for Domain Generalization. CoRR abs/2211.14058 (2022) - [i22]Dongwon Kim, Namyup Kim, Suha Kwak:
Improving Cross-Modal Retrieval with Set of Diverse Embeddings. CoRR abs/2211.16761 (2022) - [i21]Namyup Kim, Sehyun Hwang, Suha Kwak:
Learning to Detect Semantic Boundaries with Image-level Class Labels. CoRR abs/2212.07579 (2022) - [i20]Sungyeon Kim, Boseung Jung, Suha Kwak:
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. CoRR abs/2212.14258 (2022) - 2021
- [c37]Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak:
Learning to Generate Novel Classes for Deep Metric Learning. BMVC 2021: 166 - [c36]Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak:
Grounded Situation Recognition with Transformers. BMVC 2021: 282 - [c35]Nayeong Kim, Suha Kwak:
Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection. BMVC 2021: 421 - [c34]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Embedding Transfer With Label Relaxation for Improved Metric Learning. CVPR 2021: 3967-3976 - [c33]Boseung Jeong, Jicheol Park, Suha Kwak:
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. ICCV 2021: 11996-12005 - [c32]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition. ICCV 2021: 13045-13055 - [c31]Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho:
Relational Self-Attention: What's Missing in Attention for Video Understanding. NeurIPS 2021: 8046-8059 - [c30]Minkyo Seo, Yoonho Lee, Suha Kwak:
On the distribution of penultimate activations of classification networks. UAI 2021: 1141-1151 - [c29]Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak:
Neural Contrast Enhancement of CT Image. WACV 2021: 3972-3981 - [i19]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. CoRR abs/2102.07092 (2021) - [i18]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Embedding Transfer with Label Relaxation for Improved Metric Learning. CoRR abs/2103.14908 (2021) - [i17]Minkyo Seo, Yoonho Lee, Suha Kwak:
On The Distribution of Penultimate Activations of Classification Networks. CoRR abs/2107.01900 (2021) - [i16]Boseung Jeong, Jicheol Park, Suha Kwak:
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. CoRR abs/2108.04533 (2021) - [i15]Namyup Kim, Taeyoung Son, Cuiling Lan, Wenjun Zeng, Suha Kwak:
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. CoRR abs/2109.14196 (2021) - [i14]Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho:
Relational Self-Attention: What's Missing in Attention for Video Understanding. CoRR abs/2111.01673 (2021) - [i13]Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak:
Grounded Situation Recognition with Transformers. CoRR abs/2111.10135 (2021) - 2020
- [c28]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. CVPR 2020: 3235-3244 - [c27]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. ECCV (16) 2020: 345-362 - [c26]Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak:
URIE: Universal Image Enhancement for Visual Recognition in the Wild. ECCV (9) 2020: 749-765 - [c25]Jicheol Park, Boseung Jeong, Jongju Shin, Juyoung Lee, Suha Kwak:
Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search. ICIP 2020: 2376-2380 - [i12]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. CoRR abs/2003.13911 (2020) - [i11]Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak:
URIE: Universal Image Enhancement for Visual Recognition in the Wild. CoRR abs/2007.08979 (2020) - [i10]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. CoRR abs/2007.09933 (2020)
2010 – 2019
- 2019
- [c24]Jiwoon Ahn, Sunghyun Cho, Suha Kwak:
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations. CVPR 2019: 2209-2218 - [c23]Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. CVPR 2019: 2288-2297 - [c22]Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han:
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CVPR 2019: 7354-7362 - [i9]Jiwoon Ahn, Sunghyun Cho, Suha Kwak:
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations. CoRR abs/1904.05044 (2019) - [i8]Seungkwan Lee, Suha Kwak, Minsu Cho:
Universal Bounding Box Regression and Its Applications. CoRR abs/1904.06805 (2019) - [i7]Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. CoRR abs/1904.09626 (2019) - [i6]Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han:
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CoRR abs/1906.03950 (2019) - 2018
- [c21]Seungkwan Lee, Suha Kwak, Minsu Cho:
Universal Bounding Box Regression and Its Applications. ACCV (6) 2018: 373-387 - [c20]Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han:
Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection. ACCV (4) 2018: 632-648 - [c19]Jiwoon Ahn, Suha Kwak:
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation. CVPR 2018: 4981-4990 - [c18]Heeseung Kwon, Suha Kwak, Minsu Cho:
Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion. CoVieW@MM 2018: 35-39 - [i5]Jiwoon Ahn, Suha Kwak:
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation. CoRR abs/1803.10464 (2018) - 2017
- [j2]Seunghoon Hong, Suha Kwak, Bohyung Han:
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision. IEEE Signal Process. Mag. 34(6): 39-49 (2017) - [c17]Suha Kwak, Seunghoon Hong, Bohyung Han:
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. AAAI 2017: 4111-4117 - [c16]Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han:
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. CVPR 2017: 2224-2232 - [i4]Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han:
Weakly Supervised Semantic Segmentation using Web-Crawled Videos. CoRR abs/1701.00352 (2017) - 2016
- [c15]Suha Kwak, Minsu Cho, Ivan Laptev:
Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. CVPR 2016: 4938-4947 - 2015
- [c14]Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. CVPR 2015: 1201-1210 - [c13]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. ICCV 2015: 3173-3181 - [c12]Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han:
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. ICML 2015: 597-606 - [c11]Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in images and videos. URAI 2015: 292-293 - [i3]Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals. CoRR abs/1501.06170 (2015) - [i2]Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han:
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. CoRR abs/1502.06796 (2015) - [i1]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. CoRR abs/1505.03825 (2015) - 2014
- [j1]Suha Kwak, Bohyung Han, Joon Hee Han:
On-Line Video Event Detection by Constraint Flow. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1174-1186 (2014) - [c10]Jan Feyereisl, Suha Kwak, Jeany Son, Bohyung Han:
Object Localization based on Structural SVM using Privileged Information. NIPS 2014: 208-216 - 2013
- [c9]Suha Kwak, Bohyung Han, Joon Hee Han:
Multi-agent Event Detection: Localization and Role Assignment. CVPR 2013: 2682-2689 - [c8]Seunghoon Hong, Suha Kwak, Bohyung Han:
Orderless Tracking through Model-Averaged Posterior Estimation. ICCV 2013: 2296-2303 - 2012
- [c7]Suna Kim, Suha Kwak, Jan Feyereisl, Bohyung Han:
Online Multi-target Tracking by Large Margin Structured Learning. ACCV (3) 2012: 98-111 - [c6]Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi:
Online Video Segmentation by Bayesian Split-Merge Clustering. ECCV (4) 2012: 856-869 - 2011
- [c5]Chang-Kyu Song, Jeany Son, Suha Kwak, Bohyung Han:
Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking. BMVC 2011: 1-11 - [c4]Suha Kwak, Bohyung Han, Joon Hee Han:
Scenario-based video event recognition by constraint flow. CVPR 2011: 3345-3352 - [c3]Suha Kwak, Woonhyun Nam, Bohyung Han, Joon Hee Han:
Learning occlusion with likelihoods for visual tracking. ICCV 2011: 1551-1558 - [c2]Suha Kwak, Taegyu Lim, Woonhyun Nam, Bohyung Han, Joon Hee Han:
Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering. ICCV 2011: 2174-2181
2000 – 2009
- 2008
- [c1]Suha Kwak, Joon Hee Han:
Hierarchical Event Representation and Recognition Method for Scalable Video Event Analysis. ISM 2008: 586-591
Coauthor Index
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