Xingyi Zhou

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Philipp KrähenbühlUT AustinEmail yang diverifikasi di cs.utexas.edu
Dequan WangShanghai Jiao Tong UniversityEmail yang diverifikasi di sjtu.edu.cn
Vladlen KoltunDistinguished Scientist, AppleEmail yang diverifikasi di apple.com
Tianwei YinMITEmail yang diverifikasi di mit.edu
Yichen WeiSHUKUN TechnologyEmail yang diverifikasi di shukun.net
Qixing HuangAssociate Professor of Computer Science, UT AustinEmail yang diverifikasi di cs.utexas.edu
Xiangyang XueProfessor of Computer Science, Fudan UniversityEmail yang diverifikasi di fudan.edu.cn
Cordelia SchmidResearch director INRIA Email yang diverifikasi di inria.fr
Wei ZhangSchool of Computer Science, Fudan UniversityEmail yang diverifikasi di fudan.edu.cn
Jiacheng ZhuoUniversity of Texas at AustinEmail yang diverifikasi di utexas.edu
Anurag ArnabGoogle DeepMindEmail yang diverifikasi di google.com
Armand JoulinGoogle DeepMindEmail yang diverifikasi di google.com
Ishan MisraResearch Scientist, GenAI, MetaEmail yang diverifikasi di fb.com
Rohit GirdharResearch Scientist, GenAI, MetaEmail yang diverifikasi di fb.com
Linjie LuoResearch Manager at ByteDance AI LabEmail yang diverifikasi di princeton.edu
Arjun KarpurGoogle DeepMindEmail yang diverifikasi di google.com
Chen SunAssistant Professor, Brown UniversityEmail yang diverifikasi di brown.edu
Shuang LiangTongji UniversityEmail yang diverifikasi di tongji.edu.cn
Qingfu WanNew York UniversityEmail yang diverifikasi di fudan.edu.cn
Chuang GanUMass Amherst | MIT-IBM Watson AI LabEmail yang diverifikasi di csail.mit.edu

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Xingyi Zhou

Google DeepMind

Email yang diverifikasi di utexas.edu - Beranda

Computer Vision Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Objects as Points X Zhou, D Wang, P Krähenbühl arXiv preprint arXiv:1904.07850, 2019	4748	2019
Center-based 3d object detection and tracking T Yin, X Zhou, P Krahenbuhl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	1957	2021
Tracking objects as points X Zhou, V Koltun, P Krähenbühl European conference on computer vision, 474-490, 2020	1377	2020
Bottom-up object detection by grouping extreme and center points X Zhou, J Zhuo, P Krahenbuhl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	1217	2019
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach X Zhou, Q Huang, X Sun, X Xue, Y Wei IEEE International Conference on Computer Vision, 2017, 2017	784	2017
Detecting Twenty-thousand Classes using Image-level Supervision X Zhou, R Girdhar, A Joulin, P Krähenbühl, I Misra ECCV, 2022	634	2022
Deep kinematic pose regression X Zhou, X Sun, W Zhang, S Liang, Y Wei Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	316	2016
Probabilistic two-stage detection X Zhou, V Koltun, P Krähenbühl arXiv preprint arXiv:2103.07461, 2021	314	2021
Multimodal virtual point 3d detection T Yin, X Zhou, P Krähenbühl Advances in Neural Information Processing Systems 34, 16494-16507, 2021	289	2021
Model-based Deep Hand Pose Estimation X Zhou, Q Wan, W Zhang, X Xue, Y Wei IJCAI, 2016	254	2016
Global Tracking Transformers X Zhou, T Yin, V Koltun, P Krähenbühl CVPR, 2022	190	2022
Simple multi-dataset detection X Zhou, V Koltun, P Krähenbühl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	125	2022
Starmap for category-agnostic keypoint and viewpoint estimation X Zhou, A Karpur, L Luo, Q Huang Proceedings of the European Conference on Computer Vision (ECCV), 318-334, 2018	97	2018
Nms strikes back J Ouyang-Zhang, JH Cho, X Zhou, P Krähenbühl arXiv preprint arXiv:2212.06137, 2022	52	2022
Unsupervised domain adaptation for 3d keypoint estimation via view consistency X Zhou, A Karpur, C Gan, L Luo, Q Huang Proceedings of the European conference on computer vision (ECCV), 137-153, 2018	52*	2018
Streaming dense video captioning X Zhou, A Arnab, S Buch, S Yan, A Myers, X Xiong, A Nagrani, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	29	2024
Dataseg: Taming a universal multi-dataset multi-task segmentation model X Gu, Y Cui, J Huang, A Rashwan, X Yang, X Zhou, G Ghiasi, W Kuo, ... Advances in Neural Information Processing Systems 36, 67329-67354, 2023	25	2023
Pixel-aligned language model J Xu, X Zhou, S Yan, X Gu, A Arnab, C Sun, X Wang, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	24	2024
Distilling vision-language models on millions of videos Y Zhao, L Zhao, X Zhou, J Wu, CT Chu, H Miao, F Schroff, H Adam, T Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	15	2024
How can objects help action recognition? X Zhou, A Arnab, C Sun, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	14	2023

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