← Authors

Kihyuk Sohn

49 papers · 2012–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (88) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (13) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) πŸ† Grand Slam πŸ‘₯ Mega-Team (31) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) 🀝 Dynamic Duo (12) ⚑ Prolific Year (6) πŸ’Ž Century Club (49) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (14) ❓ The Questioner πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (193)

Conferences

CVPR (15) NIPS (10) ICLR (7) ICCV (4) ICML (4) WACV (3) ECCV (2) AAAI (1) ACL (1) AISTATS (1) NAACL (1)

Top co-authors

Manmohan Chandraker (12) Chun-Liang Li (10) Honglak Lee (9) Tomas Pfister (8) Xiang Yu (8) Irfan Essa (7) Jinwoo Shin (6) Lu Jiang (6) JosΓ© Lezama (6) Chen-Yu Lee (6)

Keywords

representation learning (6) domain adaptation (5) semi-supervised learning (4) generative model (4) image generation (4) data augmentation (4) adversarial learning (3) feature learning (3) contrastive learning (3) text-to-image diffusion (3) multimodal learning (3) unsupervised learning (3) semantic segmentation (3) image classification (3) structured output (3) video generation (2) zero-shot learning (2) video synthesis (2) transfer learning (2) vision transformer (2)

Papers

Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model NAACL 2025
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models NIPS 2024
Language Model Beats Diffusion - Tokenizer is key to visual generation ICLR 2024
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow ICLR 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation ICML 2024
Instruct-Imagen: Image Generation with Multi-modal Instruction CVPR 2024
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NIPS 2024
Photorealistic Video Generation with Diffusion Models ECCV 2024
MaskSketch: Unpaired Structure-Guided Masked Image Generation CVPR 2023
Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning WACV 2023
StyleDrop: Text-to-Image Synthesis of Any Style NIPS 2023
Collaborative Score Distillation for Consistent Visual Editing NIPS 2023
Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023
Prefix Conditioning Unifies Language and Label Supervision CVPR 2023
Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval CVPR 2023
Visual Prompt Tuning for Generative Transfer Learning CVPR 2023
MAGVIT: Masked Generative Video Transformer CVPR 2023
Video Probabilistic Diffusion Models in Projected Latent Space CVPR 2023
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation ICLR 2022
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning CVPR 2021
Object-aware Contrastive Learning for Debiased Scene Representation NIPS 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning ICLR 2021
Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021
Controlling Neural Networks with Rule Representations NIPS 2021
Towards Universal Representation Learning for Deep Face Recognition CVPR 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence NIPS 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild ECCV 2020
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring ICLR 2020
Active Adversarial Domain Adaptation WACV 2020
Feature Transfer Learning for Face Recognition With Under-Represented Data CVPR 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations ICCV 2019
Unsupervised Domain Adaptation for Distance Metric Learning ICLR 2019
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild CVPR 2019
Learning to Adapt Structured Output Space for Semantic Segmentation CVPR 2018
Towards Large-Pose Face Frontalization in the Wild ICCV 2017
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition ICCV 2017
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos ICCV 2017
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units ICML 2016
Improved Deep Metric Learning with Multi-class N-pair Loss Objective NIPS 2016
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Improved Multimodal Deep Learning with Variation of Information NIPS 2014
Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012