AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection. - Yeongmin Kim; Huiwon Jang; Dongkeon Lee; Ho-Jin Choi (CoRR, 2022)

Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. - Huiwon Jang; Hankook Lee; Jinwoo Shin (ICLR, 2023)

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. - Huiwon Jang; Jihoon Tack; Daewon Choi; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2023)

Adversarial Robustification via Text-to-Image Diffusion Models. - Daewon Choi; Jongheon Jeong; Huiwon Jang; Jinwoo Shin (ECCV (81), 2024)

Visual Representation Learning with Stochastic Frame Prediction. - Huiwon Jang; Dongyoung Kim; Junsu Kim; Jinwoo Shin; Pieter Abbeel; Younggyo Seo (ICML, 2024)

TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation. - Seong Hyeon Park; Huiwon Jang; Byungwoo Jeon; Sukmin Yun; Paul Hongsuck Seo; Jinwoo Shin (NeurIPS, 2024)

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction. - Huiwon Jang; Sihyun Yu; Jinwoo Shin; Pieter Abbeel; Younggyo Seo (CVPR, 2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. - Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie (ICLR, 2025)

Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics. - Dongyoung Kim; Sumin Park; Huiwon Jang; Jinwoo Shin; Jaehyung Kim; Younggyo Seo (CoRR, 2025)