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ORCIDZheng Zhang 0022
Person information
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation (former): Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
Other persons with the same name
- Zheng Zhang — disambiguation page
- Zheng Zhang 0001
![[0000-0001-6073-6675]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6073-6675")
— AWS Shanghai AI Lab, Shanghai, China (and 4 more) - Zheng Zhang 0002 — University of Toronto, Canada
- Zheng Zhang 0003 — National University of Singapore, School of Computing, Singapore
- Zheng Zhang 0004 — Pennsylvania State University, Department of Computer Science and Engineering, University Park, PA, USA
- Zheng Zhang 0005 — University of California, Santa Barbara, USA (and 2 more)
- Zheng Zhang 0006 — Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China (and 3 more)
- Zheng Zhang 0007 — Zhejiang Ocean University, Marine Acoustics and Remote Sensing Laboratory, Zhoushan, China
- Zheng Zhang 0009 — Purdue University, West Lafayette, IN, USA
- Zheng Zhang 0010 — Tsinghua University, School of Journalism and Communication, China
- Zheng Zhang 0011 — National University of Defense Technology, Changsha, China (and 1 more)
- Eddy Z. Zhang (aka: Eddy Zheng Zhang, Zheng Zhang 0012) — Rutgers University, Department of Computer Science, Piscataway, NJ, USA (and 1 more)
- Zheng Zhang 0013 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
- Zheng Zhang 0014 — Northeast Petroleum University, School of Electrical and Information Engineering, Daqing, China
- Zheng Zhang 0015 — Beijing University of Chemical Technology, College of Information Science and Technology, China
- Zheng Zhang 0016 — Ruhr University Bochum, Germany
- Zheng Zhang 0017 — Xi'an Jiaotong University, School of Mechanical Engineering, Institute of Robotics and Intelligent Systems, Xi'an, China
- Zheng Zhang 0018 — College of William & Mary, VA, USA
- Zheng Zhang 0019 — University of Paris-Saclay, France
- Zheng Zhang 0020 — Tsinghua University, Beijing National Research Center for Information Science and Technology, China
- Zheng Zhang 0021 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Zheng Zhang 0023 — State University of New York at Binghamton, Department of Computer Science, Binghamton, NY, USA
- Zheng Zhang 0024 — South China University of Technology, School of Electric Power, Guangzhou, China
- Zheng Zhang 0025 — Nanyang Institute of Technology, School of Software, Nanyang, China
- Zheng Zhang 0026 — Xidian University, Key Laboratory of Information and Structure Efficiency in Extreme Environment, Xi'an, China
- Zheng Zhang 0027 — Shandong University of Science and Technology, College of Transportation, Qingdao, China
- Zheng Zhang 0028 — East China Jiaotong University, School of Electrical and Automation Engineering, Nanchang, China
- Zheng Zhang 0029 — Harbin Engineering University, College of Automation, Harbin, China
- Zheng Zhang 0030 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Zheng Zhang 0031 — Chinese People's Liberation Army, Guangzhou, China (and 1 more)
- Zheng Zhang 0032 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Zheng Zhang 0033 — Information Engineering University, Zhengzhou, China
- Zheng Zhang 0034 — Harbin Engineering University, College of Automation, Institute of Robotics and Intelligent Control, Harbin, China
- Zheng Zhang 0035 — Arizona State University, Tempe, AZ, USA
- Zheng Zhang 0036 — Wuhan University, School of Computer Science, Wuhan, China
- Zheng Zhang 0037 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Zheng Zhang 0038 — Beijing University of Posts and Telecommunications, School of Modern Post, State Key Lab of Networking and Switching Technology, China
- Zheng Zhang 0039 — Nanyang Technological University, Singapore
- Zheng Zhang 0040 — Nanyang Technological University, School of Computer Engineering, Singapore
- Zheng Zhang 0041 — Shanghai Ocean University, College of Engineering Science and Technology, China (and 1 more)
- Zheng Zhang 0042 — Imperial College London, Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, London, UK (and 2 more)
- Zheng Zhang 0043 — University of Notre Dame, IN, USA (and 1 more)
- Zheng Zhang 0044 — China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
- Zheng Zhang 0045 — University of Shanghai for Science and Technology, Business School, China
- Zheng Zhang 0046 — University of Surrey, UK
- Zheng Zhang 0047 — Emory University, Atlanta, GA, USA
- Zheng Zhang 0048 — University of Science and Technology of China, Hefei, China
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2020 – today
- 2024
[c39]Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Houqiang Li, Han Hu, Dong Chen, Baining Guo:
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. CVPR 2024: 12709-12720- [c38]Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu:
Segment and Caption Anything. CVPR 2024: 13405-13417 - [c37]Zheng Zhang, Yeyao Ma, Enming Zhang, Xiang Bai:
PSALM: Pixelwise SegmentAtion with Large Multi-modal Model. ECCV (34) 2024: 74-91 - [i43]Chen Li, Weiqi Wang, Jingcheng Hu, Yixuan Wei, Nanning Zheng, Han Hu, Zheng Zhang, Houwen Peng:
Common 7B Language Models Already Possess Strong Math Capabilities. CoRR abs/2403.04706 (2024) - [i42]Zheng Zhang, Yeyao Ma, Enming Zhang, Xiang Bai:
PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model. CoRR abs/2403.14598 (2024) - [i41]Bolin Ni, Jingcheng Hu, Yixuan Wei, Houwen Peng, Zheng Zhang, Gaofeng Meng, Han Hu:
Xwin-LM: Strong and Scalable Alignment Practice for LLMs. CoRR abs/2405.20335 (2024) - [i40]Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo:
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms. CoRR abs/2406.09397 (2024) - 2023
- [j2]Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai:
SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15546-15561 (2023) - [c36]Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo:
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. CVPR 2023: 2776-2786 - [c35]Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai:
Side Adapter Network for Open-Vocabulary Semantic Segmentation. CVPR 2023: 2945-2954 - [c34]Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu:
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CVPR 2023: 3687-3697 - [c33]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu:
On Data Scaling in Masked Image Modeling. CVPR 2023: 10365-10374 - [c32]Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao:
Revealing the Dark Secrets of Masked Image Modeling. CVPR 2023: 14475-14485 - [c31]Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo:
Improving CLIP Fine-tuning Performance. ICCV 2023: 5416-5426 - [c30]Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu:
DETR Does Not Need Multi-Scale or Locality Design. ICCV 2023: 6522-6531 - [c29]Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu:
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. ICCV 2023: 19843-19853 - [i39]Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu:
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CoRR abs/2301.01296 (2023) - [i38]Jia Ning, Chen Li, Zheng Zhang, Zigang Geng, Qi Dai, Kun He, Han Hu:
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. CoRR abs/2301.02229 (2023) - [i37]Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai:
Side Adapter Network for Open-Vocabulary Semantic Segmentation. CoRR abs/2302.12242 (2023) - [i36]Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu:
DeepMIM: Deep Supervision for Masked Image Modeling. CoRR abs/2303.08817 (2023) - [i35]Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu:
DETR Doesn't Need Multi-Scale or Locality Design. CoRR abs/2308.01904 (2023) - [i34]Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Han Hu, Dong Chen, Baining Guo:
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. CoRR abs/2309.03895 (2023) - [i33]Houwen Peng, Kan Wu, Yixuan Wei, Guoshuai Zhao, Yuxiang Yang, Ze Liu, Yifan Xiong, Ziyue Yang, Bolin Ni, Jingcheng Hu, Ruihang Li, Miaosen Zhang, Chen Li, Jia Ning, Ruizhe Wang, Zheng Zhang, Shuguang Liu, Joe Chau, Han Hu, Peng Cheng:
FP8-LM: Training FP8 Large Language Models. CoRR abs/2310.18313 (2023) - [i32]Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu:
Segment and Caption Anything. CoRR abs/2312.00869 (2023) - 2022
- [c28]Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu:
Video Swin Transformer. CVPR 2022: 3192-3201 - [c27]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: a Simple Framework for Masked Image Modeling. CVPR 2022: 9643-9653 - [c26]Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR 2022: 11999-12009 - [c25]Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu:
A Simple Approach and Benchmark for 21, 000-Category Object Detection. ECCV (11) 2022: 1-18 - [c24]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai:
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. ECCV (29) 2022: 736-753 - [c23]Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu:
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. NeurIPS 2022 - [c22]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS 2022 - [i31]Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo:
iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. CoRR abs/2204.10760 (2022) - [i30]Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao:
Revealing the Dark Secrets of Masked Image Modeling. CoRR abs/2205.13543 (2022) - [i29]Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo:
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. CoRR abs/2205.14141 (2022) - [i28]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu:
On Data Scaling in Masked Image Modeling. CoRR abs/2206.04664 (2022) - [i27]Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu:
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. CoRR abs/2210.01035 (2022) - [i26]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pretrained Image Models Extract Universal Representations? CoRR abs/2211.02043 (2022) - [i25]Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu:
Exploring Discrete Diffusion Models for Image Captioning. CoRR abs/2211.11694 (2022) - 2021
- [c21]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CVPR 2021: 16684-16693 - [c20]Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong:
Group-Free 3D Object Detection via Transformers. ICCV 2021: 2929-2938 - [c19]Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu:
End-to-End Semi-Supervised Object Detection with Soft Teacher. ICCV 2021: 3040-3049 - [c18]Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV 2021: 9992-10002 - [c17]Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu:
Leveraging Batch Normalization for Vision Transformers. ICCVW 2021: 413-422 - [c16]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. NeurIPS 2021: 11315-11325 - [i24]Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. CoRR abs/2103.14030 (2021) - [i23]Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong:
Group-Free 3D Object Detection via Transformers. CoRR abs/2104.00678 (2021) - [i22]Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu:
Self-Supervised Learning with Swin Transformers. CoRR abs/2105.04553 (2021) - [i21]Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu:
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. CoRR abs/2105.05838 (2021) - [i20]Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu:
End-to-End Semi-Supervised Object Detection with Soft Teacher. CoRR abs/2106.09018 (2021) - [i19]Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu:
Video Swin Transformer. CoRR abs/2106.13230 (2021) - [i18]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. CoRR abs/2111.03056 (2021) - [i17]Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR abs/2111.09883 (2021) - [i16]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: A Simple Framework for Masked Image Modeling. CoRR abs/2111.09886 (2021) - [i15]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai:
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. CoRR abs/2112.14757 (2021) - 2020
- [c15]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-local Neural Networks. ECCV (15) 2020: 191-207 - [c14]Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu:
Dense RepPoints: Representing Visual Objects with Dense Point Sets. ECCV (21) 2020: 227-244 - [c13]Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong:
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. ECCV (23) 2020: 326-342 - [c12]Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu:
Negative Margin Matters: Understanding Margin in Few-Shot Classification. ECCV (4) 2020: 438-455 - [c11]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) 2020: 531-548 - [c10]Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS 2020 - [c9]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS 2020 - [i14]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR abs/2003.08866 (2020) - [i13]Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu:
Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR abs/2003.12060 (2020) - [i12]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-Local Neural Networks. CoRR abs/2006.06668 (2020) - [i11]Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
Parametric Instance Classification for Unsupervised Visual Feature Learning. CoRR abs/2006.14618 (2020) - [i10]Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong:
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. CoRR abs/2007.01294 (2020) - [i9]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints V2: Verification Meets Regression for Object Detection. CoRR abs/2007.08508 (2020) - [i8]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR abs/2011.10043 (2020)
2010 – 2019
- 2019
- [c8]Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin:
Local Relation Networks for Image Recognition. ICCV 2019: 3463-3472 - [c7]Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu:
Spatial-Temporal Relation Networks for Multi-Object Tracking. ICCV 2019: 3987-3997 - [c6]Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. ICCV 2019: 6687-6696 - [i7]Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. CoRR abs/1904.05873 (2019) - [i6]Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu:
Spatial-Temporal Relation Networks for Multi-Object Tracking. CoRR abs/1904.11489 (2019) - [i5]Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin:
Local Relation Networks for Image Recognition. CoRR abs/1904.11491 (2019) - [i4]Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu:
Dense RepPoints: Representing Visual Objects with Dense Point Sets. CoRR abs/1912.11473 (2019) - 2018
- [c5]Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei:
Relation Networks for Object Detection. CVPR 2018: 3588-3597 - [c4]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [i3]Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. CoRR abs/1811.11167 (2018) - 2017
- [j1]Xiang Bai, Zheng Zhang, Hong-Yang Wang, Wei Shen:
Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation. J. Comput. Sci. Technol. 32(4): 701-713 (2017) - [i2]Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei:
Relation Networks for Object Detection. CoRR abs/1711.11575 (2017) - 2016
- [c3]Zheng Zhang, Chengquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai:
Multi-oriented Text Detection with Fully Convolutional Networks. CVPR 2016: 4159-4167 - [c2]Xuelei Zhang, Zheng Zhang, Chengquan Zhang, Xiang Bai:
Symmetry-based object proposal for text detection. ICPR 2016: 709-714 - [i1]Zheng Zhang, Chengquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai:
Multi-Oriented Text Detection with Fully Convolutional Networks. CoRR abs/1604.04018 (2016) - 2015
- [c1]Zheng Zhang, Wei Shen, Cong Yao, Xiang Bai:
Symmetry-based text line detection in natural scenes. CVPR 2015: 2558-2567
Coauthor Index
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
[c39] [c38] [i43] [i41] [j2] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [c21] [c20] [c19] [c18] [c17] [c16] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c15] [c14] [c13] [c12] [c10] [c9] [i13] [i12] [i11] [i10] [i9] [i8] [c8] [c7] [i6] [i5] [i4] [c5] [i2]
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-19 23:10 CET by the dblp team
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