Sohn, Kihyuk

55 publications

NeurIPS 2024 Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin

ICLR 2024 DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin

NeurIPS 2024 FineStyle: Fine-Grained Controllable Style Personalization for Text-to-Image Models Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa

CVPR 2024 Instruct-Imagen: Image Generation with Multi-Modal Instruction Hexiang Hu, Kelvin C.K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, Ming-Wei Chang, Xuhui Jia

ICLR 2024 Language Model Beats Diffusion - Tokenizer Is Key to Visual Generation Lijun Yu, Jose 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

ECCV 2024 Photorealistic Video Generation with Diffusion Models Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, Jose Lezama

CVPRW 2024 Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu

ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose 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

WACV 2023 Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister

NeurIPS 2023 Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

ICMLW 2023 Collaborative Score Distillation for Consistent Visual Synthesis Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

CVPR 2023 MAGVIT: Masked Generative Video Transformer Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

CVPR 2023 MaskSketch: Unpaired Structure-Guided Masked Image Generation Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa

CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

CVPR 2023 Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

TMLR 2023 SPADE: Semi-Supervised Anomaly Detection Under Distribution Mismatch Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Tomas Pfister

NeurIPS 2023 StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan A. Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

WACV 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister

CVPR 2023 Video Probabilistic Diffusion Models in Projected Latent Space Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin

CVPR 2023 Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang

ICLR 2022 AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin

TMLR 2022 Self-Supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Chen-Yu Lee, Tomas Pfister

ICMLW 2022 Towards Group Robustness in the Presence of Partial Group Labels Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister

ICLR 2021 $i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee

CVPR 2021 CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan Yuille, Fan Yang

NeurIPS 2021 Controlling Neural Networks with Rule Representations Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister

CVPR 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister

ICLR 2021 Learning and Evaluating Representations for Deep One-Class Classification Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister

NeurIPS 2021 Object-Aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin

WACV 2020 Active Adversarial Domain Adaptation Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker

AAAI 2020 Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang

NeurIPS 2020 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin A Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li

ECCV 2020 Improving Face Recognition by Clustering Unlabeled Faces in the Wild Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker

ICLR 2020 ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel

CVPRW 2019 Active Adversarial Domain Adaptation Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker

WACV 2019 Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis Wenling Shang, Kihyuk Sohn

CVPRW 2019 Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker

ICLR 2019 Unsupervised Domain Adaptation for Distance Metric Learning Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker

WACV 2018 Channel-Recurrent Autoencoding for Image Modeling Wenling Shang, Kihyuk Sohn, Yuandong Tian

AAAI 2017 Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units Wenling Shang, Justin Chiu, Kihyuk Sohn

ICCV 2017 Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker

ICCV 2017 Towards Large-Pose Face Frontalization in the Wild Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker

ICCV 2017 Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker

ECCV 2016 Attribute2Image: Conditional Image Generation from Visual Attributes Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee

NeurIPS 2016 Improved Deep Metric Learning with Multi-Class N-Pair Loss Objective Kihyuk Sohn

ICML 2016 Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee

CVPR 2015 Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee

NeurIPS 2015 Learning Structured Output Representation Using Deep Conditional Generative Models Kihyuk Sohn, Honglak Lee, Xinchen Yan

NeurIPS 2014 Improved Multimodal Deep Learning with Variation of Information Kihyuk Sohn, Wenling Shang, Honglak Lee

ICML 2014 Learning to Disentangle Factors of Variation with Manifold Interaction Scott Reed, Kihyuk Sohn, Yuting Zhang, Honglak Lee

CVPR 2013 Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik Learned-Miller

ICML 2013 Learning and Selecting Features Jointly with Point-Wise Gated Boltzmann Machines Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee

ICML 2012 Learning Invariant Representations with Local Transformations Kihyuk Sohn, Honglak Lee

AISTATS 2012 Online Incremental Feature Learning with Denoising Autoencoders Guanyu Zhou, Kihyuk Sohn, Honglak Lee

ICCV 2011 Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition Kihyuk Sohn, Dae Yon Jung, Honglak Lee, Alfred O. Hero Iii