Kihyuk Sohn

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 97

Top Venues

CoRR

CVPR

ICLR

WACV

Publications

Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
Direct Consistency Optimization for Compositional Text-to-Image Personalization. CoRR (2024)
Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku
Unsupervised LLM Adaptation for Question Answering. CoRR (2024)
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 (2024)
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. ICLR (2024)
Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh
Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. CoRR (2024)
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 (2024)
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)
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow. CoRR (2024)
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
Video Probabilistic Diffusion Models in Projected Latent Space. CoRR (2023)
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)
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR (2023)
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR (2023)
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 (2023)
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 (2023)
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)
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 (2023)
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS (2023)
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, Josh 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 (2023)
Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini
Improve Supervised Representation Learning with Masked Image Modeling. CoRR (2023)
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 (2023)
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)
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. WACV (2023)
Kihyuk Sohn, Albert Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR (2023)
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR (2023)
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
Video Probabilistic Diffusion Models in Projected Latent Space. CVPR (2023)
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)
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)
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 (2023)
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)
Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian
Label Budget Allocation in Multi-Task Learning. CoRR (2023)
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)
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)
Woojung Kim, Keondo Park, Kihyuk Sohn, Raphael Shu, Hyung-Sin Kim
Federated Semi-Supervised Learning with Prototypical Networks. CoRR (2022)
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)
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 (2022)
Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang
Visual Prompt Tuning for Generative Transfer Learning. CoRR (2022)
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
Prefix Conditioning Unifies Language and Label Supervision. CoRR (2022)
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 (2022)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR (2022)
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. CoRR (2022)
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR (2021)
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Controlling Neural Networks with Rule Representations. NeurIPS (2021)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR (2021)
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)
Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CoRR (2021)
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CVPR (2021)
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 (2021)
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS (2021)
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)
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
Object-aware Contrastive Learning for Debiased Scene Representation. CoRR (2021)
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
Learning and Evaluating Representations for Deep One-Class Classification. ICLR (2021)
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CoRR (2021)
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Controlling Neural Networks with Rule Representations. CoRR (2021)
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
Learning and Evaluating Representations for Deep One-class Classification. CoRR (2020)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. WACV (2020)
Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR (2020)
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI (2020)
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR (2020)
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 (2020)
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR (2020)
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 (2020)
Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC (2020)
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)
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)
Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain
Towards Universal Representation Learning for Deep Face Recognition. CVPR (2020)
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)
Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain
Towards Universal Representation Learning for Deep Face Recognition. CoRR (2020)
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR (2019)
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV (2019)
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 (2019)
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)
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR (2019)
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
Feature Transfer Learning for Face Recognition With Under-Represented Data. CVPR (2019)
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)
Wenling Shang, Kihyuk Sohn
Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. WACV (2019)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CVPR Workshops (2019)
Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker
Unsupervised Domain Adaptation for Distance Metric Learning. ICLR (Poster) (2019)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CoRR (2019)
Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR (2019)
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)
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 (2018)
Wenling Shang, Kihyuk Sohn, Yuandong Tian
Channel-Recurrent Autoencoding for Image Modeling. WACV (2018)
Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker
Joint Pixel and Feature-level Domain Adaptation in the Wild. CoRR (2018)
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. CoRR (2018)
Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. CoRR (2017)
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
Towards Large-Pose Face Frontalization in the Wild. CoRR (2017)
Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV (2017)
Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR (2017)
Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian
Channel-Recurrent Variational Autoencoders. CoRR (2017)
Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. ICCV (2017)
Wenling Shang, Justin Chiu, Kihyuk Sohn
Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. AAAI (2017)
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
Towards Large-Pose Face Frontalization in the Wild. ICCV (2017)
Kihyuk Sohn
Improved Deep Metric Learning with Multi-class N-pair Loss Objective. NIPS (2016)
Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. ICML (2016)
Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. CoRR (2016)
Wenling Shang, Kihyuk Sohn, Honglak Lee, Anna C. Gilbert
Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. SDM (2016)
Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
Attribute2Image: Conditional Image Generation from Visual Attributes. ECCV (4) (2016)
Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
Attribute2Image: Conditional Image Generation from Visual Attributes. CoRR (2015)
Kihyuk Sohn, Honglak Lee, Xinchen Yan
Learning Structured Output Representation using Deep Conditional Generative Models. NIPS (2015)
Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kihyuk Sohn