Park, Hyoungseob

18 publications

ICCV 2025 ETA: Energy-Based Test-Time Adaptation for Depth Completion Younjoon Chung, Hyoungseob Park, Patrick Rim, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S. Duncan, Alex Wong

ICCV 2025 Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens Suchisrit Gangopadhyay, Jung-Hee Kim, Xien Chen, Patrick Rim, Hyoungseob Park, Alex Wong

ICCV 2025 Progressive Test Time Energy Adaptation for Medical Image Segmentation Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong

CVPR 2025 ProtoDepth: Unsupervised Continual Depth Completion with Prototypes Patrick Rim, Hyoungseob Park, S. Gangopadhyay, Ziyao Zeng, Younjoon Chung, Alex Wong

NeurIPS 2025 TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong

ECCV 2024 AugUndo: Scaling up Augmentations for Monocular Depth Completion and Estimation Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

CVPR 2024 Binding Touch to Everything: Learning Unified Multimodal Tactile Representations Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, Alex Wong

ECCV 2024 On the Viability of Monocular Depth Pre-Training for Semantic Segmentation Dong Lao, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong, Stefano Soatto

NeurIPS 2024 RSA: Resolving Scale Ambiguities in Monocular Depth Estimators Through Language Descriptions Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong

CVPR 2024 Test-Time Adaptation for Depth Completion Hyoungseob Park, Anjali Gupta, Alex Wong

CVPR 2024 WorDepth: Variational Language Prior for Monocular Depth Estimation Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

AAAI 2023 Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda

TMLR 2023 Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

ECCV 2022 Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda

ECCV 2022 Neural Architecture Search for Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda

ECCV 2022 Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda

NeurIPSW 2022 Wearable-Based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda

CVPR 2021 Meta Batch-Instance Normalization for Generalizable Person Re-Identification Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim