Chong Mou

1.5k citations
18 papers · 676 · 2 hit papers · h-index 9

Impact in

Papers in

    • Image and Signal Denoising Methods 6
    • Advanced Image Processing Techniques 6
    • Advanced Steganography and Watermarking Techniques 3
    • Generative Adversarial Networks and Image Synthesis 2
    • Chaos-based Image/Signal Encryption 2
    • Advanced Vision and Imaging 2
    • Advanced Image Fusion Techniques 3
Journals
IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
Partner nations
ChinaSaudi ArabiaMacao

In The Last Decade

Chong Mou

15 papers receiving 664 citations

Chong Mou's Hit Papers

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models 2024 · 259 citations
2590+1+2Years since publication50100150200250

Peers

Chong Mou
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 506
  • Computer Graphics and Computer-Aided Design 74
  • Media Technology 89
  • Acoustics and Ultrasonics 7
  • Computational Mechanics 111
Replace Naejin Kong with:
Naejin Kong South Korea
Chenyang Lei Hong Kong
Avinash Sharma India
Joel Kronander Sweden
Zhangkai Ni China
Francesco Banterle Italy
Peter Sand United States
Tianfan Xue Hong Kong
John Isidoro United States
Chong Mou relative to Naejin Kong South Korea Naejin Kong's profile →
Citations per field
00.5×1.5×2.2×
Naejin Kong · 1×
Citations per year

Countries citing papers authored by Chong Mou

Since Specialization
Citations

This map shows the geographic impact of Chong Mou'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 Chong Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Mou more than expected).

Fields of papers citing papers by Chong Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong Mou. 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 Chong Mou. The network helps show where Chong Mou may publish in the future.

Co-authors

The 24 scholars most cited alongside Chong Mou, 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 Chong Mou Line = papers co-authored together Chong Mou links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
Hit paper breakdown →
2024259
2
Deep Generalized Unfolding Networks for Image Restoration
Hit paper breakdown →
2022177
3 202285
4 202341
5 202131
6 202327
7 202223
8 20249
9 20249
10 20217
11 20203
12 20212
13 20251
14 20211
15 20211
16 20240
17 20240
18 20250

About Chong Mou

Chong Mou is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Instrumentation, having authored 18 papers that have together received 676 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (6 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Image Fusion Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (506 citations), Computer Graphics and Computer-Aided Design (74 citations), Media Technology (89 citations), Acoustics and Ultrasonics (7 citations) and Computational Mechanics (111 citations). Chong Mou has collaborated with scholars based in China, Saudi Arabia and Macao. Frequent co-authors include Jian Zhang, Qian Wang, Jian Zhang, Ying Shan, Zhongang Qi, Xintao Wang, Liangbin Xie, Yanze Wu, Shiqi Wang and Siwei Ma. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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