Hyoungseob Park

44 papers A* 7A 1B 1Misc 1Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
ETA: Energy-based Test-time Adaptation for Depth Completion.
CoRR
Younjoon Chung, Hyoungseob Park, Patrick Rim, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S. Duncan, Alex Wong
2025 J jnl
Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens.
CoRR
Suchisrit Gangopadhyay, Jung-Hee Kim, Xien Chen, Patrick Rim, Hyoungseob Park, Alex Wong
2025 J jnl
Progressive Test Time Energy Adaptation for Medical Image Segmentation.
CoRR
Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong
2025 A* conf
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes.
CVPR
Patrick Rim, Hyoungseob Park, Suchisrit Gangopadhyay, Ziyao Zeng, Younjoon Chung, Alex Wong
2025 J jnl
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes.
CoRR
Patrick Rim, Hyoungseob Park, Suchisrit Gangopadhyay, Ziyao Zeng, Younjoon Chung, Alex Wong
2025 J jnl
Radar-Guided Polynomial Fitting for Metric Depth Estimation.
CoRR
Patrick Rim, Hyoungseob Park, Vadim Ezhov, Jeffrey Moon, Alex Wong
2024 A conf
All-day Depth Completion.
IROS
Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong
2024 J jnl
All-day Depth Completion.
CoRR
Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong
2024 — conf
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation.
ECCV (64)
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2024 A* conf
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations.
CVPR
Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, Alex Wong
2024 J jnl
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations.
CoRR
Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, Alex Wong
2024 J jnl
NeuroBind: Towards Unified Multimodal Representations for Neural Signals.
CoRR
Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong
2024 — conf
On the Viability of Monocular Depth Pre-training for Semantic Segmentation.
ECCV (37)
Dong Lao, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong, Stefano Soatto
2024 A* conf
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions.
NeurIPS
Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
2024 J jnl
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions.
CoRR
Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
2024 J jnl
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception.
CoRR
Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong
2024 A* conf
Test- Time Adaptation for Depth Completion.
CVPR
Hyoungseob Park, Anjali Gupta, Alex Wong
2024 J jnl
Test-Time Adaptation for Depth Completion.
CoRR
Hyoungseob Park, Anjali Gupta, Alex Wong
2024 J jnl
UnCLe: Unsupervised Continual Learning of Depth Completion.
CoRR
Suchisrit Gangopadhyay, Xien Chen, Michael Chu, Patrick Rim, Hyoungseob Park, Alex Wong
2024 A* conf
WorDepth: Variational Language Prior for Monocular Depth Estimation.
CVPR
Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2024 J jnl
WorDepth: Variational Language Prior for Monocular Depth Estimation.
CoRR
Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong
2023 J jnl
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion.
CoRR
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2023 J jnl
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems.
CoRR
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023 J jnl
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.
Neural Networks
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023 A* conf
Exploring Temporal Information Dynamics in Spiking Neural Networks.
AAAI
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2023 J jnl
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient.
CoRR
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023 J jnl
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient.
Trans. Mach. Learn. Res.
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2022 J jnl
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization.
CoRR
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
2022 — conf
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.
ECCV (12)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022 J jnl
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022 J jnl
Exploring Temporal Information Dynamics in Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2022 — conf
Neural Architecture Search for Spiking Neural Networks.
ECCV (24)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
Neural Architecture Search for Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022 — conf
Neuromorphic Data Augmentation for Training Spiking Neural Networks.
ECCV (7)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
2022 J jnl
Neuromorphic Data Augmentation for Training Spiking Neural Networks.
CoRR
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
2022 Misc conf
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?
ICASSP
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
CoRR
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
Robust Federated Learning With Noisy Labels.
IEEE Intell. Syst.
Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
2022 J jnl
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks.
CoRR
Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
2021 A* conf
Meta Batch-Instance Normalization for Generalizable Person Re-Identification.
CVPR
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim
2020 J jnl
Domain Adaptation without Source Data.
CoRR
Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
2020 J jnl
Meta Batch-Instance Normalization for Generalizable Person Re-Identification.
CoRR
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim
2020 J jnl
Robust Federated Learning with Noisy Labels.
CoRR
Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
2020 B conf
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels.
ICIP
Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim