Hyoungseob Park

According to our database, Hyoungseob Park authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception.

Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong

CoRR, 2024

UnCLe: Unsupervised Continual Learning of Depth Completion.

Suchisrit Gangopadhyay, Xien Chen, Michael Chu, Patrick Rim, Hyoungseob Park, Alex Wong

CoRR, 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

CoRR, 2024

NeuroBind: Towards Unified Multimodal Representations for Neural Signals.

Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong

CoRR, 2024

WorDepth: Variational Language Prior for Monocular Depth Estimation.

Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong

CoRR, 2024

All-day Depth Completion.

Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation.

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

WorDepth: Variational Language Prior for Monocular Depth Estimation.

Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test- Time Adaptation for Depth Completion.

Hyoungseob Park, Anjali Gupta, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.

Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

Neural Networks, November, 2023

Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient.

Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

Trans. Mach. Learn. Res., 2023

AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion.

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

CoRR, 2023

Exploring Temporal Information Dynamics in Spiking Neural Networks.

Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Federated Learning With Noisy Labels.

Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim

IEEE Intell. Syst., 2022

Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks.

Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda

CoRR, 2022

Addressing Client Drift in Federated Continual Learning with Adaptive Optimization.

Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda

CoRR, 2022

Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?

Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda

Proceedings of the IEEE International Conference on Acoustics, 2022

Neuromorphic Data Augmentation for Training Spiking Neural Networks.

Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.

Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Architecture Search for Spiking Neural Networks.

Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda

Proceedings of the Computer Vision, 2022

2021

Meta Batch-Instance Normalization for Generalizable Person Re-Identification.

Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Domain Adaptation without Source Data.

Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda

CoRR, 2020

Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels.

Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim

Proceedings of the IEEE International Conference on Image Processing, 2020