Kihyuk Sohn - RankMe

117 papers A* 39A 8Journal 56Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model. NAACL (Long Papers) Kuniaki Saito, Chen-Yu Lee, Kihyuk Sohn, Yoshitaka Ushiku
2025	J	`jnl`	WorldGen: From Text to Traversable and Interactive 3D Worlds. CoRR Dilin Wang, Hyunyoung Jung, Tom Monnier, Kihyuk Sohn, Chuhang Zou, Xiaoyu Xiang, Yu-Ying Yeh, Di Liu, Zixuan Huang, Thu Nguyen-Phuoc, Yuchen Fan, Sergiu Oprea, Ziyan Wang, Roman Shapovalov, Nikolaos Sarafianos, Thibault Groueix, Antoine Toisoul, Prithviraj Dhar, Xiao Chu, Minghao Chen, Geon Yeong Park, Mahima Gupta, Yassir Azziz, Rakesh Ranjan, Andrea Vedaldi
2024	J	`jnl`	Direct Consistency Optimization for Compositional Text-to-Image Personalization. CoRR Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
2024	A*	`conf`	Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models. NeurIPS Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
2024	J	`jnl`	DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow. CoRR Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
2024	A*	`conf`	DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. ICLR Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
2024	A*	`conf`	FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models. NeurIPS Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa
2024	A*	`conf`	Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR 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
2024	J	`jnl`	Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR 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
2024	A*	`conf`	Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 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
2024	—	`conf`	Photorealistic Video Generation with Diffusion Models. ECCV (79) Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Fei-Fei Li, Irfan Essa, Lu Jiang, José Lezama
2024	—	`conf`	Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CVPR Workshops Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu
2024	J	`jnl`	Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CoRR Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu
2024	J	`jnl`	Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. CoRR Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh
2024	J	`jnl`	Unsupervised LLM Adaptation for Question Answering. CoRR Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku
2024	A*	`conf`	VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 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
2023	A	`conf`	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. WACV Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
2023	A*	`conf`	Collaborative Score Distillation for Consistent Visual Editing. NeurIPS Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
2023	J	`jnl`	Collaborative Score Distillation for Consistent Visual Synthesis. CoRR Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
2023	—	`conf`	FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. ACL (1) 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
2023	J	`jnl`	FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. CoRR 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
2023	J	`jnl`	Improve Supervised Representation Learning with Masked Image Modeling. CoRR Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini
2023	J	`jnl`	Label Budget Allocation in Multi-Task Learning. CoRR Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian
2023	J	`jnl`	Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR 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
2023	J	`jnl`	Learning Disentangled Prompts for Compositional Image Synthesis. CoRR Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa
2023	A*	`conf`	MAGVIT: Masked Generative Video Transformer. CVPR Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
2023	A*	`conf`	MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
2023	J	`jnl`	MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
2023	J	`jnl`	Photorealistic Video Generation with Diffusion Models. CoRR Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama
2023	A*	`conf`	Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023	J	`jnl`	Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023	A*	`conf`	Prefix Conditioning Unifies Language and Label Supervision. CVPR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023	J	`jnl`	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. Trans. Mach. Learn. Res. Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	StyleDrop: Text-to-Image Generation in Any Style. CoRR 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
2023	A*	`conf`	StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS 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
2023	A	`conf`	Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister
2023	A*	`conf`	Video Probabilistic Diffusion Models in Projected Latent Space. CVPR Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
2023	J	`jnl`	Video Probabilistic Diffusion Models in Projected Latent Space. CoRR Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
2023	J	`jnl`	VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR 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
2023	A*	`conf`	Visual Prompt Tuning for Generative Transfer Learning. CVPR Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang
2022	A*	`conf`	AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
2022	J	`jnl`	Federated Semi-Supervised Learning with Prototypical Networks. CoRR Woojung Kim, Keondo Park, Kihyuk Sohn, Raphael Shu, Hyung-Sin Kim
2022	J	`jnl`	MAGVIT: Masked Generative Video Transformer. CoRR Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
2022	J	`jnl`	Prefix Conditioning Unifies Language and Label Supervision. CoRR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2022	J	`jnl`	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. CoRR Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. Trans. Mach. Learn. Res. Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2022	J	`jnl`	Towards Group Robustness in the presence of Partial Group Labels. CoRR Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister
2022	J	`jnl`	Visual Prompt Tuning for Generative Transfer Learning. CoRR Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang
2021	J	`jnl`	AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
2021	J	`jnl`	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
2021	A*	`conf`	CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CVPR Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang
2021	J	`jnl`	CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CoRR Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang
2021	A*	`conf`	Controlling Neural Networks with Rule Representations. NeurIPS Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021	J	`jnl`	Controlling Neural Networks with Rule Representations. CoRR Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021	A*	`conf`	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CVPR Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
2021	J	`jnl`	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CoRR Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
2021	A*	`conf`	Learning and Evaluating Representations for Deep One-Class Classification. ICLR Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
2021	A*	`conf`	Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
2021	J	`jnl`	Object-aware Contrastive Learning for Debiased Scene Representation. CoRR Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
2021	J	`jnl`	Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2021	A*	`conf`	i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. ICLR Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
2020	J	`jnl`	A Simple Semi-Supervised Learning Framework for Object Detection. CoRR Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister
2020	A	`conf`	Active Adversarial Domain Adaptation. WACV Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
2020	A	`conf`	Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
2020	A*	`conf`	Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
2020	J	`jnl`	Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques. CoRR Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn, Wenhan Lu, David Berthelot, Izzeddin Gur, Pranav Khaitan, Ke-Wei Huang, Kyriacos Koupparis, Bernhard Kowatsch
2020	A*	`conf`	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
2020	J	`jnl`	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
2020	—	`conf`	Improving Face Recognition by Clustering Unlabeled Faces in the Wild. ECCV (24) Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
2020	J	`jnl`	Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
2020	J	`jnl`	Learning and Evaluating Representations for Deep One-class Classification. CoRR Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
2020	A*	`conf`	ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. ICLR David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
2020	A*	`conf`	Towards Universal Representation Learning for Deep Face Recognition. CVPR Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain
2020	J	`jnl`	Towards Universal Representation Learning for Deep Face Recognition. CoRR Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain
2020	J	`jnl`	i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
2019	—	`conf`	Active Adversarial Domain Adaptation. CVPR Workshops Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
2019	J	`jnl`	Active Adversarial Domain Adaptation. CoRR Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
2019	J	`jnl`	Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
2019	J	`jnl`	Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
2019	A	`conf`	Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. WACV Wenling Shang, Kihyuk Sohn
2019	A*	`conf`	Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
2019	J	`jnl`	Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
2019	A*	`conf`	Feature Transfer Learning for Face Recognition With Under-Represented Data. CVPR Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
2019	A*	`conf`	Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker
2019	—	`conf`	Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR Workshops Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker
2019	J	`jnl`	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. CoRR David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
2019	—	`conf`	Unsupervised Domain Adaptation for Distance Metric Learning. ICLR (Poster) Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker
2018	A	`conf`	Channel-Recurrent Autoencoding for Image Modeling. WACV Wenling Shang, Kihyuk Sohn, Yuandong Tian
2018	J	`jnl`	Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. CoRR Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
2018	J	`jnl`	Joint Pixel and Feature-level Domain Adaptation in the Wild. CoRR Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker
2018	A*	`conf`	Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
2018	J	`jnl`	Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
2017	J	`jnl`	Channel-Recurrent Variational Autoencoders. CoRR Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian
2017	A*	`conf`	Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. AAAI Wenling Shang, Justin Chiu, Kihyuk Sohn
2017	J	`jnl`	Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
2017	A*	`conf`	Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
2017	A*	`conf`	Towards Large-Pose Face Frontalization in the Wild. ICCV Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
2017	J	`jnl`	Towards Large-Pose Face Frontalization in the Wild. CoRR Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
2017	A*	`conf`	Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. ICCV Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker
2017	J	`jnl`	Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. CoRR Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker
2016	—	`conf`	Attribute2Image: Conditional Image Generation from Visual Attributes. ECCV (4) Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
2016	A	`conf`	Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. SDM Wenling Shang, Kihyuk Sohn, Honglak Lee, Anna C. Gilbert
2016	—	`conf`	Improved Deep Metric Learning with Multi-class N-pair Loss Objective. NIPS Kihyuk Sohn
2016	A*	`conf`	Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. ICML Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee
2016	J	`jnl`	Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. CoRR Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee
2015	J	`jnl`	Attribute2Image: Conditional Image Generation from Visual Attributes. CoRR Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
2015	J	`jnl`	Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction. CoRR Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee
2015	A*	`conf`	Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. CVPR Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee
2015	—	`conf`	Learning Structured Output Representation using Deep Conditional Generative Models. NIPS Kihyuk Sohn, Honglak Lee, Xinchen Yan
2014	—	`conf`	Improved Multimodal Deep Learning with Variation of Information. NIPS Kihyuk Sohn, Wenling Shang, Honglak Lee
2014	A*	`conf`	Learning to Disentangle Factors of Variation with Manifold Interaction. ICML Scott E. Reed, Kihyuk Sohn, Yuting Zhang, Honglak Lee
2013	A*	`conf`	Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. CVPR Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller
2013	—	`conf`	Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines. ICML (2) Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee
2012	—	`conf`	An interpretation of the Cover and Leung capacity region for the MAC with feedback through stochastic control. ICC Achilleas Anastasopoulos, Kihyuk Sohn
2012	A*	`conf`	Learning Invariant Representations with Local Transformations. ICML Kihyuk Sohn, Honglak Lee
2012	A	`conf`	Online Incremental Feature Learning with Denoising Autoencoders. AISTATS Guanyu Zhou, Kihyuk Sohn, Honglak Lee
2011	A*	`conf`	Efficient learning of sparse, distributed, convolutional feature representations for object recognition. ICCV Kihyuk Sohn, Dae Yon Jung, Honglak Lee, Alfred O. Hero III