Luming Tang 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	2728	2708
h 指数	8	8
i10 指数	8	8

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201820192020202120222023202418 64 89 103 235 985 1230

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bharath hariharanCornell University在 cs.cornell.edu 的电子邮件经过验证
Menglin JiaResearch Scientist, Meta在 cornell.edu 的电子邮件经过验证
Shuai YiSenseTime Group Limited在 sensetime.com 的电子邮件经过验证
Davis WertheimerPhD student, Cornell University在 cornell.edu 的电子邮件经过验证
Tsung-Yi LinResearch Scientist, NVIDIA在 nvidia.com 的电子邮件经过验证
Jun GaoUniversity of Toronto, NVIDIA在 cs.toronto.edu 的电子邮件经过验证
Chen-Hsuan LinNVIDIA Research在 nvidia.com 的电子邮件经过验证
Towaki TakikawaUniversity of Toronto, NVIDIA在 cs.toronto.edu 的电子邮件经过验证
Ming-Yu LiuVice President of Research at NVIDIA在 nvidia.com 的电子邮件经过验证
Karsten KreisSenior Research Scientist, NVIDIA在 nvidia.com 的电子邮件经过验证
Xiaohui ZENGUniversity of Toronto在 cs.toronto.edu 的电子邮件经过验证
Zhongdao WangNoah's Ark Lab, Huawei在 huawei.com 的电子邮件经过验证
Qianqian WangPostdoc, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Cheng Perng PhooPhD Student , Cornell University在 cornell.edu 的电子邮件经过验证
Nataniel RuizResearch Scientist, Google在 bu.edu 的电子邮件经过验证
Aleksander HolynskiGoogle DeepMind, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Yuanzhen LiGoogle在 csail.mit.edu 的电子邮件经过验证
Michael RubinsteinSenior Staff Research Scientist, Google在 google.com 的电子邮件经过验证
Yael PritchGoogle Research在 google.com 的电子邮件经过验证
David E. JacobsStanford University, Google在 cs.stanford.edu 的电子邮件经过验证

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Luming Tang

Research Scientist, Google DeepMind

在 google.com 的电子邮件经过验证 - 首页

Computer Vision Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Visual Prompt Tuning M Jia, L Tang, BC Chen, C Cardie, S Belongie, B Hariharan, SN Lim ECCV 2022, 2022	1086	2022
Magic3D: High-Resolution Text-to-3D Content Creation CH Lin, J Gao, L Tang, T Takikawa, X Zeng*, X Huang, K Kreis, ... CVPR 2023, 2022	720	2022
Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification Z Wang, L Tang, X Liu, Z Yao, S Yi, J Shao, J Yan, S Wang, H Li, ... ICCV 2017, 2017	429	2017
Few-Shot Classification with Feature Map Reconstruction Networks D Wertheimer, L Tang, B Hariharan CVPR 2021, 2021	251	2021
Emergent Correspondence from Image Diffusion L Tang, M Jia, Q Wang, CP Phoo, B Hariharan NeurIPS 2023, 2023	153	2023
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition L Tang, D Wertheimer, B Hariharan CVPR 2020, 2020	53	2020
RealFill: Reference-Driven Generation for Authentic Image Completion L Tang, N Ruiz, Q Chu, Y Li, A Holynski, DE Jacobs, B Hariharan, Y Pritch, ... SIGGRAPH 2024, 2023	18	2023
Multi-entity dependence learning with rich context via conditional variational auto-encoder L Tang, Y Xue, D Chen, CP Gomes AAAI 2018, 2018	17	2018
Few-Shot Learning in Long-Tailed Settings D Wertheimer, L Tang, D Baijal, P Mittal, A Talwar, B Hariharan Tech Report, 2021	1*	2021
High resolution text-to-3d content creation CH Lin, TY Lin, MY Liu, S Fidler, K Kreis, L Tang, X Zeng, J Gao, X Huang, ... US Patent App. 18/232,279, 2024		2024
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners D Wertheimer, L Tang, B Hariharan Tech Report, 2022		2022
Methods and apparatuses for vehicle appearance feature recognition, methods and apparatuses for vehicle retrieval, storage medium, and electronic devices YI Shuai, W Chongdao, L Tang, J Yan, X Wang US Patent 11,232,318, 2022		2022
An Experimental Evaluation of Optimized Maximum Flow Implementations J Song, L Tang, H Zhang, X Zhang CS 6820 Analysis of Algorithms, Course Project, 2019		2019
Hierarchical Deep Recurrent Architecture for Video Understanding L Tang, B Deng, H Zhao, S Yi CVPR 2017 Workshop on YouTube-8M Large-Scale Video Understanding, 2017		2017

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