Hyoungseob Park

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Depth Estimation

Learning Systems

Spiking Neural Networks

Human Activity Recognition

Top Venues

Publications

Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, Alex Wong
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations. CoRR (2024)
Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong
WorDepth: Variational Language Prior for Monocular Depth Estimation. CoRR (2024)
Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong
NeuroBind: Towards Unified Multimodal Representations for Neural Signals. CoRR (2024)
Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong
All-day Depth Completion. CoRR (2024)
Hyoungseob Park, Anjali Gupta, Alex Wong
Test-Time Adaptation for Depth Completion. CoRR (2024)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks 168 (2023)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems. CoRR (2023)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. 2023 (2023)
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR (2023)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) (2022)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP (2022)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. ECCV (24) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR (2022)
Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
Robust Federated Learning With Noisy Labels. IEEE Intell. Syst. 37 (2) (2022)
Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR (2022)
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR (2021)
Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
Domain Adaptation without Source Data. CoRR (2020)
Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
Robust Federated Learning with Noisy Labels. CoRR (2020)
Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. ICIP (2020)
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CoRR (2020)