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ORCIDXingyi Zhou
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2020 – today
- 2024
[c22]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CVPR 2024: 13030-13039- [c21]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CVPR 2024: 13106-13116 - [c20]Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CVPR 2024: 18243-18252 - [c19]Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, James Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. ICRA 2024: 4442-4449 - [c18]Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li:
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. WACV 2024: 840-850 - [i24]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CoRR abs/2401.06129 (2024) - [i23]Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CoRR abs/2404.01297 (2024) - [i22]Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. CoRR abs/2405.00236 (2024) - 2023
- [c17]Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
How can objects help action recognition? CVPR 2023: 2353-2362 - [c16]Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid:
Does Visual Pretraining Help End-to-End Reasoning? NeurIPS 2023 - [c15]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS 2023 - [i21]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR abs/2306.01736 (2023) - [i20]Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
How can objects help action recognition? CoRR abs/2306.11726 (2023) - [i19]Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
Dense Video Object Captioning from Disjoint Supervision. CoRR abs/2306.11729 (2023) - [i18]Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid:
Does Visual Pretraining Help End-to-End Reasoning? CoRR abs/2307.08506 (2023) - [i17]Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li:
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. CoRR abs/2312.06052 (2023) - [i16]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CoRR abs/2312.09237 (2023) - 2022
- [c14]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Simple Multi-dataset Detection. CVPR 2022: 7561-7570 - [c13]Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl:
Global Tracking Transformers. CVPR 2022: 8761-8770 - [c12]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) 2022: 350-368 - [c11]Manhai Li, Lang Luo, Sijian Chen, Xingyi Zhou:
Health Knowledge Visualization for the Elderly. HCI (21) 2022: 174-184 - [i15]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-thousand Classes using Image-level Supervision. CoRR abs/2201.02605 (2022) - [i14]Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl:
Global Tracking Transformers. CoRR abs/2203.13250 (2022) - [i13]Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl:
NMS Strikes Back. CoRR abs/2212.06137 (2022) - 2021
- [c10]Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl:
Center-Based 3D Object Detection and Tracking. CVPR 2021: 11784-11793 - [c9]Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl:
Multimodal Virtual Point 3D Detection. NeurIPS 2021: 16494-16507 - [i12]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Simple multi-dataset detection. CoRR abs/2102.13086 (2021) - [i11]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Probabilistic two-stage detection. CoRR abs/2103.07461 (2021) - [i10]Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl:
Multimodal Virtual Point 3D Detection. CoRR abs/2111.06881 (2021) - 2020
- [c8]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Tracking Objects as Points. ECCV (4) 2020: 474-490 - [i9]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Tracking Objects as Points. CoRR abs/2004.01177 (2020) - [i8]Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl:
Center-based 3D Object Detection and Tracking. CoRR abs/2006.11275 (2020)
2010 – 2019
- 2019
- [c7]Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl:
Bottom-Up Object Detection by Grouping Extreme and Center Points. CVPR 2019: 850-859 - [c6]Xingyi Zhou, Guoyan Xu, Fan Liu, Xinyue Su:
Research on DFF-TopK algorithm based on dynamic feature selection. ICCSE 2019: 493-498 - [i7]Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl:
Bottom-up Object Detection by Grouping Extreme and Center Points. CoRR abs/1901.08043 (2019) - [i6]Xingyi Zhou, Dequan Wang, Philipp Krähenbühl:
Objects as Points. CoRR abs/1904.07850 (2019) - 2018
- [c5]Xingyi Zhou
, Arjun Karpur, Chuang Gan, Linjie Luo, Qixing Huang:
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency. ECCV (12) 2018: 141-157 - [c4]Xingyi Zhou, Arjun Karpur, Linjie Luo, Qixing Huang:
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation. ECCV (1) 2018: 328-345 - [i5]Xingyi Zhou, Arjun Karpur, Linjie Luo, Qixing Huang:
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation. CoRR abs/1803.09331 (2018) - 2017
- [c3]Xingyi Zhou, Qixing Huang, Xiao Sun, Xiangyang Xue, Yichen Wei:
Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach. ICCV 2017: 398-407 - [i4]Xingyi Zhou, Qixing Huang, Xiao Sun, Xiangyang Xue, Yichen Wei:
Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild. CoRR abs/1704.02447 (2017) - [i3]Xingyi Zhou, Arjun Karpur, Chuang Gan, Linjie Luo, Qixing Huang:
Unsupervised Domain Adaptation for 3D Keypoint Prediction from a Single Depth Scan. CoRR abs/1712.05765 (2017) - 2016
- [c2]Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, Yichen Wei:
Deep Kinematic Pose Regression. ECCV Workshops (3) 2016: 186-201 - [c1]Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue, Yichen Wei:
Model-Based Deep Hand Pose Estimation. IJCAI 2016: 2421-2427 - [i2]Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue, Yichen Wei:
Model-based Deep Hand Pose Estimation. CoRR abs/1606.06854 (2016) - [i1]Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, Yichen Wei:
Deep Kinematic Pose Regression. CoRR abs/1609.05317 (2016)
Coauthor Index
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