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2020 – today
- 2024
[c57]Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR 2024: 4754-4763- [c56]Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu:
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CVPR Workshops 2024: 7449-7459 - [c55]Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin:
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. ICLR 2024 - [c54]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 2024 - [c53]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024 - [i53]Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR abs/2401.01952 (2024) - [i52]Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin:
Direct Consistency Optimization for Compositional Text-to-Image Personalization. CoRR abs/2402.12004 (2024) - [i51]Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku:
Unsupervised LLM Adaptation for Question Answering. CoRR abs/2402.12170 (2024) - [i50]Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin:
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow. CoRR abs/2403.14966 (2024) - [i49]Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu:
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CoRR abs/2405.13779 (2024) - [i48]Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh:
Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. CoRR abs/2405.13951 (2024) - 2023
- [j2]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister:
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. Trans. Mach. Learn. Res. 2023 (2023) - [c52]Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolay Glushnev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister:
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. ACL (1) 2023: 9011-9026 - [c51]Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa:
MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR 2023: 1879-1889 - [c50]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CVPR 2023: 2861-2870 - [c49]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CVPR 2023: 10459-10469 - [c48]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CVPR 2023: 18456-18466 - [c47]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR 2023: 19305-19314 - [c46]Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. CVPR 2023: 19840-19851 - [c45]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS 2023 - [c44]Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin:
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS 2023 - [c43]Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister:
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. WACV 2023: 5468-5479 - [c42]Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister:
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV 2023: 5633-5642 - [i47]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR abs/2302.03084 (2023) - [i46]Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa:
MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR abs/2302.05496 (2023) - [i45]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CoRR abs/2302.07685 (2023) - [i44]Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolai Glushnev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister:
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. CoRR abs/2305.02549 (2023) - [i43]Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa:
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR abs/2306.00763 (2023) - [i42]Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan:
StyleDrop: Text-to-Image Generation in Any Style. CoRR abs/2306.00983 (2023) - [i41]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR abs/2307.04787 (2023) - [i40]Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian:
Label Budget Allocation in Multi-Task Learning. CoRR abs/2308.12949 (2023) - [i39]Lijun Yu
, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR abs/2310.05737 (2023) - [i38]Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini:
Improve Supervised Representation Learning with Masked Image Modeling. CoRR abs/2312.00950 (2023) - [i37]Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama:
Photorealistic Video Generation with Diffusion Models. CoRR abs/2312.06662 (2023) - [i36]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Joshua V. Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR abs/2312.14125 (2023) - 2022
- [j1]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister:
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. Trans. Mach. Learn. Res. 2022 (2022) - [c41]David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin:
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR 2022 - [i35]Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister:
Towards Group Robustness in the presence of Partial Group Labels. CoRR abs/2201.03668 (2022) - [i34]Woojung Kim, Keondo Park, Kihyuk Sohn, Raphael Shu, Hyung-Sin Kim:
Federated Semi-Supervised Learning with Prototypical Networks. CoRR abs/2205.13921 (2022) - [i33]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CoRR abs/2206.01125 (2022) - [i32]Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. CoRR abs/2210.00990 (2022) - [i31]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister:
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. CoRR abs/2212.00173 (2022) - [i30]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CoRR abs/2212.05199 (2022) - 2021
- [c40]Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister:
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CVPR 2021: 9664-9674 - [c39]Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CVPR 2021: 10857-10866 - [c38]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. ICLR 2021 - [c37]Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister:
Learning and Evaluating Representations for Deep One-Class Classification. ICLR 2021 - [c36]Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister:
Controlling Neural Networks with Rule Representations. NeurIPS 2021: 11196-11207 - [c35]Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS 2021: 12251-12264 - [i29]Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CoRR abs/2102.09559 (2021) - [i28]Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister:
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CoRR abs/2104.04015 (2021) - [i27]David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin:
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR abs/2106.04732 (2021) - [i26]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister:
Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR abs/2106.06115 (2021) - [i25]Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister:
Controlling Neural Networks with Rule Representations. CoRR abs/2106.07804 (2021) - [i24]Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. CoRR abs/2108.00049 (2021) - [i23]Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister:
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR abs/2112.11573 (2021) - 2020
- [c34]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI 2020: 12434-12441 - [c33]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC 2020 - [c32]Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. CVPR 2020: 6816-6825 - [c31]Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. ECCV (24) 2020: 119-136 - [c30]David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel:
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. ICLR 2020 - [c29]Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li:
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS 2020 - [c28]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. WACV 2020: 728-737 - [i22]Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel:
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR abs/2001.07685 (2020) - [i21]Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. CoRR abs/2002.11841 (2020) - [i20]Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister:
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR abs/2005.04757 (2020) - [i19]Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR abs/2007.06995 (2020) - [i18]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR abs/2010.08887 (2020) - [i17]Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister:
Learning and Evaluating Representations for Deep One-class Classification. CoRR abs/2011.02578 (2020) - [i16]Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn, Wenhan Lu, David Berthelot, Izzeddin Gur, Pranav Khaitan, Ke-Wei Huang, Kyriacos Koupparis, Bernhard Kowatsch:
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques. CoRR abs/2011.14004 (2020)
2010 – 2019
- 2019
- [c27]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CVPR Workshops 2019: 1-4 - [c26]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR Workshops 2019: 65-74 - [c25]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR 2019: 2672-2681 - [c24]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Face Recognition With Under-Represented Data. CVPR 2019: 5704-5713 - [c23]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV 2019: 1456-1465 - [c22]Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker:
Unsupervised Domain Adaptation for Distance Metric Learning. ICLR (Poster) 2019 - [c21]Wenling Shang, Kihyuk Sohn:
Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. WACV 2019: 1533-1542 - [i15]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR abs/1901.05427 (2019) - [i14]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CoRR abs/1904.07848 (2019) - [i13]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR abs/1906.02238 (2019) - [i12]David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel:
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. CoRR abs/1911.09785 (2019) - [i11]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR abs/1911.10143 (2019) - 2018
- [c20]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR 2018: 7472-7481 - [c19]Wenling Shang, Kihyuk Sohn, Yuandong Tian:
Channel-Recurrent Autoencoding for Image Modeling. WACV 2018: 1195-1204 - [i10]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR abs/1802.10349 (2018) - [i9]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Joint Pixel and Feature-level Domain Adaptation in the Wild. CoRR abs/1803.00068 (2018) - [i8]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. CoRR abs/1803.09014 (2018) - 2017
- [c18]Wenling Shang, Justin Chiu, Kihyuk Sohn:
Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. AAAI 2017: 1509-1516 - [c17]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV 2017: 1632-1641 - [c16]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Towards Large-Pose Face Frontalization in the Wild. ICCV 2017: 4010-4019 - [c15]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. ICCV 2017: 5917-5925 - [i7]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR abs/1702.03041 (2017) - [i6]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Towards Large-Pose Face Frontalization in the Wild. CoRR abs/1704.06244 (2017) - [i5]Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian:
Channel-Recurrent Variational Autoencoders. CoRR abs/1706.03729 (2017) - [i4]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. CoRR abs/1708.02191 (2017) - 2016
- [c14]Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee:
Attribute2Image: Conditional Image Generation from Visual Attributes. ECCV (4) 2016: 776-791 - [c13]Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee:
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. ICML 2016: 2217-2225 - [c12]Kihyuk Sohn:
Improved Deep Metric Learning with Multi-class N-pair Loss Objective. NIPS 2016: 1849-1857 - [c11]Wenling Shang, Kihyuk Sohn, Honglak Lee, Anna C. Gilbert:
Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. SDM 2016: 243-251 - [i3]Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee:
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. CoRR abs/1603.05201 (2016) - 2015
- [c10]Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee:
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. CVPR 2015: 249-258 - [c9]Kihyuk Sohn, Honglak Lee, Xinchen Yan:
Learning Structured Output Representation using Deep Conditional Generative Models. NIPS 2015: 3483-3491 - [i2]Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee:
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction. CoRR abs/1504.03293 (2015) - [i1]Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee:
Attribute2Image: Conditional Image Generation from Visual Attributes. CoRR abs/1512.00570 (2015) - 2014
- [c8]Scott E. Reed, Kihyuk Sohn, Yuting Zhang, Honglak Lee:
Learning to Disentangle Factors of Variation with Manifold Interaction. ICML 2014: 1431-1439 - [c7]Kihyuk Sohn, Wenling Shang, Honglak Lee:
Improved Multimodal Deep Learning with Variation of Information. NIPS 2014: 2141-2149 - 2013
- [c6]Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller:
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. CVPR 2013: 2019-2026 - [c5]Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee:
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines. ICML (2) 2013: 217-225 - 2012
- [c4]Achilleas Anastasopoulos, Kihyuk Sohn:
An interpretation of the Cover and Leung capacity region for the MAC with feedback through stochastic control. ICC 2012: 2360-2364 - [c3]Kihyuk Sohn, Honglak Lee:
Learning Invariant Representations with Local Transformations. ICML 2012 - [c2]Guanyu Zhou, Kihyuk Sohn, Honglak Lee:
Online Incremental Feature Learning with Denoising Autoencoders. AISTATS 2012: 1453-1461 - 2011
- [c1]Kihyuk Sohn, Dae Yon Jung, Honglak Lee, Alfred O. Hero III:
Efficient learning of sparse, distributed, convolutional feature representations for object recognition. ICCV 2011: 2643-2650
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-11 18:19 CEST by the dblp team
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