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2020 – today
- 2024
[c13]Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong:
WorDepth: Variational Language Prior for Monocular Depth Estimation. CVPR 2024: 9708-9719- [c12]Hyoungseob Park, Anjali Gupta, Alex Wong:
Test- Time Adaptation for Depth Completion. CVPR 2024: 20519-20529 - [c11]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. CVPR 2024: 26330-26343 - [c10]Yangchao Wu
, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong:
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation. ECCV (64) 2024: 274-293 - [c9]Dong Lao, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong, Stefano Soatto:
On the Viability of Monocular Depth Pre-training for Semantic Segmentation. ECCV (37) 2024: 340-357 - [c8]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. IROS 2024: 9425-9431 - [i21]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 abs/2401.18084 (2024) - [i20]Hyoungseob Park, Anjali Gupta, Alex Wong:
Test-Time Adaptation for Depth Completion. CoRR abs/2402.03312 (2024) - [i19]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 abs/2404.03635 (2024) - [i18]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 abs/2405.17315 (2024) - [i17]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 abs/2407.14020 (2024) - [i16]Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong:
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. CoRR abs/2410.02924 (2024) - [i15]Suchisrit Gangopadhyay, Xien Chen, Michael Chu, Patrick Rim, Hyoungseob Park, Alex Wong:
UnCLe: Unsupervised Continual Learning of Depth Completion. CoRR abs/2410.18074 (2024) - [i14]Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong:
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception. CoRR abs/2412.03054 (2024) - 2023
- [j3]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks 168: 569-579 (2023) - [j2]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) - [c7]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI 2023: 8308-8316 - [i13]Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR abs/2304.13098 (2023) - [i12]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems. CoRR abs/2305.07135 (2023) - [i11]Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong:
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR abs/2310.09739 (2023) - 2022
- [j1]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning With Noisy Labels. IEEE Intell. Syst. 37(2): 35-43 (2022) - [c6]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. ECCV (24) 2022: 36-56 - [c5]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) 2022: 102-120 - [c4]Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda:
Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) 2022: 631-649 - [c3]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: 71-75 - [i10]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. CoRR abs/2201.10355 (2022) - [i9]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 abs/2202.03133 (2022) - [i8]Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda:
Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR abs/2203.06145 (2022) - [i7]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda:
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR abs/2203.13321 (2022) - [i6]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR abs/2207.01382 (2022) - [i5]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR abs/2211.14406 (2022) - [i4]Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda:
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR abs/2212.02233 (2022) - 2021
- [c2]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR 2021: 3425-3435 - 2020
- [c1]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: 1951-1955 - [i3]Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda:
Domain Adaptation without Source Data. CoRR abs/2007.01524 (2020) - [i2]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CoRR abs/2011.14670 (2020) - [i1]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning with Noisy Labels. CoRR abs/2012.01700 (2020)
Coauthor Index
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