Kihyuk Sohn

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

Achievements

+18 more ↓

🌍 Conference Polyglot (11) 🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (7)

🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) 🏆 Grand Slam 👥 Mega-Team (31) 🌱 Topic Pioneer 🧬 Topic Evolution 👑 Triple Crown 🏆 Keyword Champion (3) 🤝 Dynamic Duo (12) ⚡ Prolific Year (6) 💎 Century Club (49) 📈 Trend Setter 🔥 Unstoppable (14) ❓ The Questioner 🚀 Conference Pioneer 🗃️ 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) José 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