default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSuha Kwak
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 21:07 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
