Lee, Joonseok

39 publications

TMLR 2026 Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching Junho Lee, Kwanseok Kim, Joonseok Lee

CVPRW 2025 GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting Inseo Lee, Youngyoon Choi, Joonseok Lee

ICCV 2025 Latent Diffusion Models with Masked AutoEncoders Junho Lee, Jeongwoo Shin, Hyungwook Choi, Joonseok Lee

ICCV 2025 Latent Expression Generation for Referring Image Segmentation and Grounding Seonghoon Yu, Joonbeom Hong, Joonseok Lee, Jeany Son

ICCV 2025 SummDiff: Generative Modeling of Video Summarization with Diffusion Kwanseok Kim, Jaehoon Hahm, Sumin Kim, Jinhwan Sul, Byunghak Kim, Joonseok Lee

CVPR 2025 Towards Scalable Human-Aligned Benchmark for Text-Guided Image Editing Suho Ryu, Kihyun Kim, Eugene Baek, Dongsoo Shin, Joonseok Lee

ICLR 2024 Dictionary Contrastive Learning for Efficient Local Supervision Without Auxiliary Networks Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, Myungjoo Kang

ECCV 2024 Finding NeMo: Negative-Mined Mosaic Augmentation for Referring Image Segmentation Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, Joonseok Lee

ICML 2024 Isometric Representation Learning for Disentangled Latent Space of Diffusion Models Jaehoon Hahm, Junho Lee, Sunghyun Kim, Joonseok Lee

WACV 2024 Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval Eunyi Lyou, Doyeon Lee, Jooeun Kim, Joonseok Lee

WACV 2024 PoseDiff: Pose-Conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis from Sparse Inputs Seoyoung Lee, Joonseok Lee

WACV 2024 RMFER: Semi-Supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek

NeurIPS 2024 Self-Guided Masked Autoencoder Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee

AISTATS 2024 Towards a Complete Benchmark on Video Moment Localization Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, Joonseok Lee

AAAI 2024 V2Meow: Meowing to the Visual Beat via Video-to-Music Generation Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk

ICCV 2023 A Unified Framework for Robustness on Diverse Sampling Errors Myeongho Jeon, Myungjoo Kang, Joonseok Lee

NeurIPS 2023 Activity Grammars for Temporal Action Segmentation Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho

ICMLW 2023 Hybrid Diffusions for Stable Molecular Structure Generation via Explicit Energy-Based Model Youngwoo Cho, Seunghoon Yi, Soo Kyung Kim, Hongkee Yoon, Joonseok Lee

NeurIPS 2023 Mr. HiSum: A Large-Scale Dataset for Video Highlight Detection and Summarization Jinhwan Sul, Jihoon Han, Joonseok Lee

UAI 2023 Towards Physically Reliable Molecular Representation Learning Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee

ICCV 2023 Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee

NeurIPS 2023 VisAlign: Dataset for Measuring the Alignment Between AI and Humans in Visual Perception Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O-Kil Kwon, Edward Choi

CVPR 2022 A Conservative Approach for Unbiased Learning on Unknown Biases Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee

CVPR 2022 Future Transformer for Long-Term Action Anticipation Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho

NeurIPSW 2022 MAQA: A Multimodal QA Benchmark for Negation Judith Yue Li, Aren Jansen, Qingqing Huang, Ravi Ganti, Joonseok Lee, Dima Kuzmin

CVPRW 2022 Towards Detailed Characteristic-Preserving Virtual Try-on Sangho Lee, Seoyoung Lee, Joonseok Lee

AAAI 2021 Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi

WACV 2019 Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat

UAI 2019 N-GCN: Multi-Scale Graph Convolution for Semi-Supervised Node Classification Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee

ECCVW 2018 The 2nd YouTube-8m Large-Scale Video Understanding Challenge Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici

ICCVW 2017 Large-Scale Content-Only Video Recommendation Joonseok Lee, Sami Abu-El-Haija

IJCAI 2017 Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy

JMLR 2016 LLORMA: Local Low-Rank Matrix Approximation Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio

AAAI 2015 Estimating Temporal Dynamics of Human Emotions Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

AAAI 2015 Local Context Sparse Coding Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

ICML 2013 Local Low-Rank Matrix Approximation Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

ICLR 2013 Matrix Approximation Under Local Low-Rank Assumption Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

NeurIPS 2012 Automatic Feature Induction for Stagewise Collaborative Filtering Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon

MLOSS 2012 PREA: Personalized Recommendation Algorithms Toolkit Joonseok Lee, Mingxuan Sun, Guy Lebanon