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2020 – today
- 2023
[j5]Joonhyun Jeong, Sungmin Cha, Jongwon Choi
, Sangdoo Yun, Taesup Moon, Youngjoon Yoo:
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11: 16631-16643 (2023)- [c43]Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim:
MPCHAT: Towards Multimodal Persona-Grounded Conversation. ACL (1) 2023: 3354-3377 - [c42]Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun:
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CVPR Workshops 2023: 2755-2764 - [c41]Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee:
Exploring Temporally Dynamic Data Augmentation for Video Recognition. ICLR 2023 - [c40]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? ICLR 2023 - [i44]Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song:
Neural Relation Graph for Identifying Problematic Data. CoRR abs/2301.12321 (2023) - [i43]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR abs/2303.11114 (2023) - [i42]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun:
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR abs/2303.11916 (2023) - [i41]Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh:
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR abs/2303.17595 (2023) - [i40]Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun:
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CoRR abs/2304.04875 (2023) - [i39]Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi:
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. CoRR abs/2304.10727 (2023) - [i38]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? CoRR abs/2305.00729 (2023) - [i37]Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim:
Who Wrote this Code? Watermarking for Code Generation. CoRR abs/2305.15060 (2023) - [i36]Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park:
Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR abs/2305.15080 (2023) - [i35]Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim:
MPCHAT: Towards Multimodal Persona-Grounded Conversation. CoRR abs/2305.17388 (2023) - [i34]Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han:
Augmenting Sub-model to Improve Main Model. CoRR abs/2306.11339 (2023) - [i33]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR abs/2307.01881 (2023) - 2022
- [j4]Dae Ung Jo, Sangdoo Yun, Jin Young Choi:
How Much a Model be Trained by Passive Learning Before Active Learning? IEEE Access 10: 34677-34689 (2022) - [c39]Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi:
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR 2022: 212-222 - [c38]Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR 2022: 6877-6886 - [c37]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022: 16876-16885 - [c36]Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
OCR-Free Document Understanding Transformer. ECCV (28) 2022: 498-517 - [c35]Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun:
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR 2022 - [c34]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022: 11102-11118 - [c33]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [c32]Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS 2022 - [i32]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i31]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR abs/2203.03860 (2022) - [i30]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR abs/2205.14959 (2022) - [i29]Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee:
Exploring Temporally Dynamic Data Augmentation for Video Recognition. CoRR abs/2206.15015 (2022) - [i28]Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. CoRR abs/2208.09913 (2022) - [i27]Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022) - 2021
- [j3]Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi:
Detecting and Removing Text in the Wild. IEEE Access 9: 123313-123323 (2021) - [j2]Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim:
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116: 107949 (2021) - [c31]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021: 732-741 - [c30]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR 2021: 2340-2350 - [c29]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. ICCV 2021: 3407-3416 - [c28]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c27]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha:
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021 - [c26]Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi:
Progressive Transmission and Inference of Deep Learning Models. ICMLA 2021: 271-277 - [i26]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR abs/2101.05022 (2021) - [i25]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i24]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. CoRR abs/2107.13221 (2021) - [i23]Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi:
Progressive Transmission and Inference of Deep Learning Models. CoRR abs/2110.00916 (2021) - [i22]Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun:
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR abs/2110.03095 (2021) - [i21]Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi:
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR abs/2110.04248 (2021) - [i20]Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
Donut: Document Understanding Transformer without OCR. CoRR abs/2111.15664 (2021) - [i19]Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CoRR abs/2112.00412 (2021) - 2020
- [c25]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. ICML 2020: 528-539 - [i18]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i17]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha:
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR abs/2006.08217 (2020) - [i16]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR abs/2007.00992 (2020) - [i15]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim:
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR abs/2012.03457 (2020)
2010 – 2019
- 2019
- [c24]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019: 3771-3778 - [c23]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019: 3779-3787 - [c22]Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. CVPR 2019: 9365-9374 - [c21]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - [c20]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019: 4714-4722 - [c19]Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe:
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV 2019: 6022-6031 - [i14]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - [i13]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR abs/1904.01906 (2019) - [i12]Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. CoRR abs/1904.01941 (2019) - [i11]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i10]Young Joon Yoo, Dongyoon Han, Sangdoo Yun:
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. CoRR abs/1906.06579 (2019) - [i9]Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CoRR abs/1908.04015 (2019) - [i8]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. CoRR abs/1910.02806 (2019) - [i7]Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo:
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR abs/1910.06705 (2019) - 2018
- [j1]Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi:
Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2239-2252 (2018) - [c18]Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi:
Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR 2018: 479-488 - [c17]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c16]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) 2018: 21-37 - [c15]Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [c14]Jiyeoup Jeong, Hawook Jeong, Jongin Lim, Jongwon Choi, Sangdoo Yun, Jin Young Choi:
Selective Ensemble Network for Accurate Crowd Density Estimation. ICPR 2018: 320-325 - [i6]Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi:
Context-aware Deep Feature Compression for High-speed Visual Tracking. CoRR abs/1803.10537 (2018) - [i5]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. CoRR abs/1805.05532 (2018) - [i4]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. CoRR abs/1811.03233 (2018) - [i3]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [c13]Junho Cho, Sangdoo Yun, Kyoungmu Lee, Jin Young Choi:
PaletteNet: Image Recolorization with Given Color Palette. CVPR Workshops 2017: 1058-1066 - [c12]Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi:
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. CVPR 2017: 1349-1358 - [c11]Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CVPR 2017: 2943-2952 - [c10]Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi:
Attentional Correlation Filter Network for Adaptive Visual Tracking. CVPR 2017: 4828-4837 - [i2]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. CoRR abs/1703.10730 (2017) - [i1]Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak:
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. CoRR abs/1711.09681 (2017) - 2016
- [c9]Young Joon Yoo, Kimin Yun, Sangdoo Yun, Jonghee Hong, Hawook Jeong, Jin Young Choi:
Visual Path Prediction in Complex Scenes with Crowded Moving Objects. CVPR 2016: 2668-2677 - [c8]Sangdoo Yun, Kimin Yun, Jongwon Choi, Jin Young Choi:
Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes. ECCV Workshops (2) 2016: 643-654 - [c7]Kimin Yun, Jongin Lim, Sangdoo Yun, Soo Wan Kim, Jin Young Choi:
Attention-inspired moving object detection in monocular dashcam videos. ICPR 2016: 2706-2711 - [c6]Sangdoo Yun, Hawook Jeong, Soo Wan Kim, Jin Young Choi:
Voting-based 3D object cuboid detection robust to partial occlusion from RGB-D images. WACV 2016: 1-8 - 2015
- [c5]Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi:
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. WACV 2015: 829-836 - 2014
- [c4]Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong:
Visual surveillance briefing system: Event-based video retrieval and summarization. AVSS 2014: 204-209 - [c3]Tushar Sandhan, Young Joon Yoo, Hanjoo Yoo, Sangdoo Yun, Moonsub Byeon:
Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition. AVSS 2014: 349-354 - [c2]Sangdoo Yun, Hawook Jeong, Woo-Sung Kang, Byeongho Heo, Jin Young Choi:
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. ICPR 2014: 4246-4250 - 2012
- [c1]Sangdoo Yun, Soo Wan Kim, Kwang Moo Yi, Haan-Ju Yoo, Jin Young Choi:
Multiple ground plane estimation for 3D scene understanding using a monocular camera. IVCNZ 2012: 1-6
Coauthor Index
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam