Lee, Seong-Whan

31 publications

CVPR 2025 Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon, Seong-Whan Lee

CVPR 2025 DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer Ho-Joong Kim, Yearang Lee, Jung-Ho Hong, Seong-Whan Lee

ICLR 2025 PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee

ICCV 2025 PoseAnchor: Robust Root Position Estimation for 3D Human Pose Estimation Jun-Hee Kim, Jumin Han, Seong-Whan Lee

AAAI 2025 ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow Jumin Han, Jun-Hee Kim, Seong-Whan Lee

CVPR 2025 Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition Lintong Zhang, Kang Yin, Seong-Whan Lee

NeurIPS 2025 Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes Jumin Han, Jun-Hee Kim, Seong-Whan Lee

AAAI 2024 DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

CVPR 2024 TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression Ho-Joong Kim, Jung-Ho Hong, Heejo Kong, Seong-Whan Lee

NeurIPS 2024 Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection Yearang Lee, Ho-Joong Kim, Seong-Whan Lee

NeurIPS 2024 Toward Approaches to Scalability in 3D Human Pose Estimation Jun-Hee Kim, Seong-Whan Lee

AAAI 2024 Unknown-Aware Graph Regularization for Robust Semi-Supervised Learning from Uncurated Data Heejo Kong, Suneung Kim, Ho-Joong Kim, Seong-Whan Lee

WACV 2023 Action-Aware Masking Network with Group-Based Attention for Temporal Action Localization Tae-Kyung Kang, Gun-Hee Lee, Kyung-Min Jin, Seong-Whan Lee

WACV 2023 Kinematic-Aware Hierarchical Attention Network for Human Pose Estimation in Videos Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee, Tae-Kyung Kang, Seong-Whan Lee

WACV 2023 Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation Heejo Kong, Gun-Hee Lee, Suneung Kim, Seong-Whan Lee

AAAI 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee

AAAI 2023 Towards Voice Reconstruction from EEG During Imagined Speech Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee

WACV 2022 Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image Yeong-Joon Ju, Gun-Hee Lee, Jung-Ho Hong, Seong-Whan Lee

NeurIPS 2022 Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons Paul Bertens, Seong-Whan Lee

NeurIPS 2022 HierSpeech: Bridging the Gap Between Text and Speech by Hierarchical Variational Inference Using Self-Supervised Representations for Speech Synthesis Sang-Hoon Lee, Seung-Bin Kim, Ji-Hyun Lee, Eunwoo Song, Min-Jae Hwang, Seong-Whan Lee

AAAI 2021 Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee

AAAI 2021 Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji-Hoon Kim, Seong-Whan Lee

ICCV 2021 Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics Gun-Hee Lee, Seong-Whan Lee

NeurIPS 2021 VoiceMixer: Adversarial Voice Style Mixup Sang-Hoon Lee, Ji-Hoon Kim, Hyunseung Chung, Seong-Whan Lee

AAAI 2020 Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee

ICCVW 2019 Interpreting Undesirable Pixels for Image Classification on Black-Box Models Sin-Han Kang, Honggyu Jung, Seong-Whan Lee

IJCAI 2018 Curly: An AI-Based Curling Robot Successfully Competing in the Olympic Discipline of Curling Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee

ICML 2018 Deep Reinforcement Learning in Continuous Action Spaces: A Case Study in the Game of Simulated Curling Kyowoon Lee, Sol-A Kim, Jaesik Choi, Seong-Whan Lee

CVPR 2014 The Role of Context for Object Detection and Semantic Segmentation in the Wild Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan Yuille

ECCV 2006 Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video Myung-Cheol Roh, William J. Christmas, Josef Kittler, Seong-Whan Lee

CVPR 1999 A Dependency-Based Framework of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals Hee-Joong Kang, Seong-Whan Lee