Cha Zhang

13.1k citations

124 papers · 6.6k indexed · 7 hit papers · h-index 39

Computer Vision and Pattern Recognition top 0.1%
- Advanced Vision and Imaging 51
- Advanced Image and Video Retrieval Techniques 16
- Advanced Image Processing Techniques 15
- Face and Expression Recognition 12
- Video Surveillance and Tracking Methods 11
Signal Processing top 0.2%
- Speech and Audio Processing 16
- Video Coding and Compression Technologies 14
Computer Graphics and Computer-Aided Design top 0.5%
- Computer Graphics and Visualization Techniques 22
Experimental and Cognitive Psychology top 1%
Artificial Intelligence top 0.5%

Co-authors: Zhengyou Zhang Tsuhan Chen Dinei Florêncio Yunqian Ma Zhiding Yu Emad Barsoum Paul Viola Seyedmahdad Mirsamadi
Cited by: Computer Vision and Pattern Recognition Signal Processing Computer Graphics and Computer-Aided Design
Journals: IEEE Transactions on Multimedia (6 papers)IEEE Signal Processing Magazine (3 papers)IEEE Transactions on Image Processing (2 papers)
Partner nations: United States China United Kingdom

In The Last Decade

Cha Zhang

123 papers receiving 6.2k citations

Hit Papers

7 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2023 Proceedings of the AAAI Conference on Artificial Intelligence
2021 LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
2017 Automatic speech emotion recognition using recurrent neural networks with local attention
2015 Image based Static Facial Expression Recognition with Multiple Deep Network Learning
2012 CERN Document Server (European Organization for Nuclear Research)
2010 A Survey of Recent Advances in Face Detection
2005 Neural Information Processing Systems

Peers

Countries citing papers authored by Cha Zhang

Since Specialization

Citations

This map shows the geographic impact of Cha Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cha Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cha Zhang more than expected).

Fields of papers citing papers by Cha Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cha Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cha Zhang. The network helps show where Cha Zhang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Cha Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cha Zhang Line = papers co-authored together Cha Zhang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Modelsbreakdown → Proceedings of the AAAI Conference on Artificial Intelligence ·Minghao Li,Tengchao Lv,Jingye Chen,Lei Cui,Yijuan Lu,Dinei Florêncio,Cha Zhang,Zhoujun Li,Furu Wei	2023	110
2	A Simple yet Effective Learnable Positional Encoding Method for Improving Document Transformer Model Guoxin Wang,Yijuan Lu,Lei Cui,Tengchao Lv,Dinei Florêncio,Cha Zhang	2022	3
3	LeGR: Filter Pruning via Learned Global Ranking. arXiv (Cornell University) ·Ting-Wu Chin,Ruizhou Ding,Cha Zhang,Diana Marculescu	2019	10
4	A survey on face detection in the wild: Past, present and future Computer Vision and Image Understanding ·Stefanos Zafeiriou,Cha Zhang,Zhengyou Zhang	2015	283
5	Point cloud attribute compression with graph transform Cha Zhang,Dinei Florêncio,Charles Loop	2014	181
6	Real-time high-resolution sparse voxelization with application to image-based modeling Charles Loop,Cha Zhang,Zhengyou Zhang	2013	55
7	Viewport: A Distributed, Immersive Teleconferencing System with Infrared Dot Pattern IEEE Multimedia ·Cha Zhang,Qin Cai,Philip A. Chou,Zhengyou Zhang,Ricardo Martin-Brualla	2013	53
8	Ensemble Machine Learning: Methods and Applicationsbreakdown → CERN Document Server (European Organization for Nuclear Research) ·Cha Zhang,Yunqian Ma	2012	565
9	Improving Immersive Experiences in Telecommunication with Motion Parallax IEEE Signal Processing Magazine ·Cha Zhang,Dinei Florêncio,Zhengyou Zhang	2011	7
10	CROWDMOS: An approach for crowdsourcing mean opinion score studies Flávio Ribeiro,Dinei Florêncio,Cha Zhang,Michael L. Seltzer	2011	128
11	A novel see-through screen based on weave fabrics Cha Zhang,Ruigang Yang,J.Tim Allen,Zhengyou Zhang	2011	1
12	Enhanced Binaural Loudspeaker Audio System with Room Modeling 明鈴木,Cha Zhang,Dinei Florêncio,Zhao Xue-ai	2010	1
13	L1 regularized room modeling with compact microphone arrays Demba Ba,Flávio Ribeiro,Cha Zhang,Dinei Florêncio	2010	31
14	Improving 3D perception by adding eye-tracking based motion parallax - an ICASSP demo International Conference on Acoustics, Speech, and Signal Processing ·Dinei Florêncio,Cha Zhang	2009	1
15	Improving depth perception with motion parallax and its application in teleconferencing Cha Zhang,Zhaozheng Yin,Dinei Florêncio	2009	46
16	Multiple-Instance Pruning For Learning Efficient Cascade Detectors Neural Information Processing Systems ·Cha Zhang,Paul Viola	2007	81
17	Adaptive peer-to-peer streaming with MutualCast Journal of Zhejiang University. Science A ·Cheng Huang,Philip A. Chou,Jin Li,Cha Zhang	2006	2
18	Multiple Instance Boosting for Object Detectionbreakdown → Neural Information Processing Systems ·Cha Zhang,John Platt,Paul Viola	2005	446
19	Security analysis for key generation systems using face images I. O. Khazanovsky,Cha Zhang,Tsuhan Chen	2005	4
20	Towards optimal least square filters using the eigenfilter approach Cha Zhang,Tsuhan Chen	2002	3

About Cha Zhang

Cha Zhang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 124 papers that have together received 6.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (51 papers), Computer Graphics and Visualization Techniques (22 papers), Speech and Audio Processing (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Advanced Image Processing Techniques (15 papers), Video Coding and Compression Technologies (14 papers), Face and Expression Recognition (12 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Signal Processing (1.5k citations) and Computer Graphics and Computer-Aided Design (476 citations). Cha Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhengyou Zhang, Tsuhan Chen, Dinei Florêncio, Yunqian Ma, Zhiding Yu, Emad Barsoum, Paul Viola, Seyedmahdad Mirsamadi, John Platt and Stefanos Zafeiriou. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Signal Processing Magazine, IEEE Transactions on Image Processing, IEEE Multimedia and International Journal of Computer Vision.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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