Tz-Ying Wu

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Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoVerified email at ece.ucsd.edu
Subarna TripathiIntel LabsVerified email at intel.com
Chih-Hui (John) HoUniversity of California San DiegoVerified email at articul8.ai
Alakh DesaiUniversity of California San DiegoVerified email at ucsd.edu
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
Rahul BhotikaChief AI Officer, UnitedHealth GroupVerified email at optum.com
Gurumurthy SwaminathanSenior Applied Scientist, Amazon, Seattle, USAVerified email at alum.bu.edu
Zhizhong LiAmazon AWS RekognitionVerified email at amazon.com
Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseVerified email at cis.jhu.edu
Xiaoyin YangUCSD AlumniVerified email at ucsd.edu
Yiran XuCS Ph.D. student at University of Maryland, College ParkVerified email at umd.edu
Yunsheng LiMicrosoftVerified email at microsoft.com
Min SunAssociate Professor at National Tsing Hua University; Principal Applied Scientist at AmazonVerified email at ee.nthu.edu.tw
Chan-Wei HuTexas A&M UniversityVerified email at tamu.edu
Pei WangAmazonVerified email at amazon.com
Pedro MorgadoAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Bo LiuBytedanceVerified email at bytedance.com
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Verified email at cs.stanford.edu
Juan-Ting LinMagic LeapVerified email at magicleap.com
Tsun-Hsuan WangMassachusetts Institute of TechnologyVerified email at mit.edu

Tz-Ying Wu

Intel Labs

Verified email at ucsd.edu - Homepage

Computer Vision & Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Explainable object-induced action decision for autonomous vehicles Y Xu, X Yang, L Gong, HC Lin, TY Wu, Y Li, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	124	2020
Learning of visual relations: The devil is in the tails A Desai, TY Wu, S Tripathi, N Vasconcelos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	91	2021
Class-incremental learning with strong pre-trained models TY Wu, G Swaminathan, Z Li, A Ravichandran, N Vasconcelos, R Bhotika, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	75	2022
Solving long-tailed recognition with deep realistic taxonomic classifier TY Wu, P Morgado, P Wang, CH Ho, N Vasconcelos Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	56	2020
Anticipating daily intention using on-wrist motion triggered sensing TY Wu, TA Chien, CS Chan, CW Hu, M Sun Proceedings of the IEEE International Conference on Computer Vision, 48-56, 2017	31	2017
Exploit clues from views: Self-supervised and regularized learning for multiview object recognition CH Ho, B Liu, TY Wu, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	11	2020
Liquid pouring monitoring via rich sensory inputs TY Wu, JT Lin, TH Wang, CW Hu, JC Niebles, M Sun Proceedings of the European Conference on Computer Vision (ECCV), 335-351, 2018	9	2018
Single-stage visual relationship learning using conditional queries A Desai, TY Wu, S Tripathi, N Vasconcelos Advances in Neural Information Processing Systems 35, 13064-13077, 2022	8	2022
Protect: Prompt tuning for hierarchical consistency TY Wu, CH Ho, N Vasconcelos CoRR, 2023	4	2023
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification TY Wu, CH Ho, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	2	2024
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation TY Wu, K Min, S Tripathi, N Vasconcelos arXiv preprint arXiv:2407.19520, 2024		2024
Toward Realistic Classifier for Long-Tail Distributions TY Wu University of California, San Diego, 2024		2024
Class-Incremental Learning with Strong Pre-trained Models Supplemental Material TY Wu, G Swaminathan, Z Li, A Ravichandran, N Vasconcelos, R Bhotika, ...
Learning of Visual Relations: The Devil is in the Tails–Supplementary Material A Desai, TY Wu, S Tripathi, N Vasconcelos

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