Huiwen Chang

3.3k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Huiwen Chang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Huiwen Chang has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Huiwen Chang's work include Advanced Vision and Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (5 papers). Huiwen Chang is often cited by papers focused on Advanced Vision and Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (5 papers). Huiwen Chang collaborates with scholars based in United States, China and South Korea. Huiwen Chang's co-authors include Adam Finkelstein, Ce Liu, Fisher Yu, Jingwan Lu, William T. Freeman, Stephen DiVerdi, Yiming Liu, Ohad Fried, Lu Jiang and Han Zhang and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Huiwen Chang

18 papers receiving 1.0k citations

Hit Papers

MaskGIT: Masked Generative Image Transformer 2022 2026 2023 2024 2022 50 100 150
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.

  1. MaskGIT: Masked Generative Image Transformer
    2022 167 citations Huiwen Chang, Han Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Huiwen Chang United States 14 906 138 113 87 80 18 1.0k
Hyeongwoo Kim Germany 8 935 1.0× 104 0.8× 57 0.5× 384 4.4× 90 1.1× 14 1.1k
Peiran Ren China 16 1.1k 1.2× 319 2.3× 103 0.9× 146 1.7× 102 1.3× 32 1.2k
Yongcheng Jing China 10 670 0.7× 126 0.9× 180 1.6× 56 0.6× 66 0.8× 16 859
Jianchao Tan United States 11 441 0.5× 100 0.7× 132 1.2× 44 0.5× 33 0.4× 28 550
Mylène C. Q. Farias Brazil 19 1.1k 1.2× 108 0.8× 53 0.5× 204 2.3× 292 3.6× 140 1.4k
Oliver Schreer Germany 16 928 1.0× 170 1.2× 51 0.5× 70 0.8× 177 2.2× 95 1.2k
Stephen Pollard United States 14 592 0.7× 78 0.6× 54 0.5× 26 0.3× 80 1.0× 79 880
Chengying Gao China 11 310 0.3× 101 0.7× 125 1.1× 80 0.9× 18 0.2× 40 465
Aykut Erdem Türkiye 20 1.4k 1.5× 41 0.3× 338 3.0× 39 0.4× 189 2.4× 68 1.6k
Hector Yee United States 7 464 0.5× 140 1.0× 88 0.8× 37 0.4× 73 0.9× 8 605

Countries citing papers authored by Huiwen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Huiwen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiwen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Huiwen Chang. A scholar is included among the top collaborators of Huiwen Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huiwen Chang. Huiwen Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Chang, Huiwen, Han Zhang, Lu Jiang, Ce Liu, & William T. Freeman. (2022). MaskGIT: Masked Generative Image Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11305–11315. 167 indexed citations breakdown →
2.
Chang, Huiwen, Xiyang Luo, Ondrej Stava, et al.. (2022). Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10021–10030. 23 indexed citations
3.
Aberman, Kfir, Rahul Garg, Neal Wadhwa, et al.. (2022). Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 476–486. 11 indexed citations
4.
Herrmann, Charles, Jiang Lu, Ramin Zabih, et al.. (2022). Pyramid Adversarial Training Improves ViT Performance. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13409–13419. 28 indexed citations
5.
Sun, Deqing, Daniel Vlasic, Charles Herrmann, et al.. (2021). AutoFlow: Learning a Better Training Set for Optical Flow. 10088–10097. 69 indexed citations
6.
Jampani, Varun, Huiwen Chang, Abhishek Kar, et al.. (2021). SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12498–12507. 33 indexed citations
7.
Yang, Gengshan, Deqing Sun, Varun Jampani, et al.. (2021). LASR: Learning Articulated Shape Reconstruction from a Monocular Video. 15975–15984. 51 indexed citations
8.
Chang, Huiwen, et al.. (2021). OCONet: Image Extrapolation by Object Completion. 2307–2317. 10 indexed citations
9.
Luo, Xiyang, Ruohan Zhan, Huiwen Chang, Feng Yang, & Peyman Milanfar. (2020). Distortion Agnostic Deep Watermarking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13545–13554. 128 indexed citations
10.
Raj, Amit, Patsorn Sangkloy, Huiwen Chang, et al.. (2018). SwapNet: Garment Transfer in Single View Images. 666–682. 18 indexed citations
11.
Chang, Huiwen, Jingwan Lu, Fisher Yu, & Adam Finkelstein. (2018). PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. 40–48. 190 indexed citations
12.
Chang, Huiwen & Michael F. Cohen. (2017). Panning and Zooming High-Resolution Panoramas in Virtual Reality Devices. 279–288. 15 indexed citations
13.
Chang, Huiwen, et al.. (2016). Automatic triage for a photo series. ACM Transactions on Graphics. 35(4). 1–10. 30 indexed citations
14.
Chang, Huiwen, Ohad Fried, Yiming Liu, Stephen DiVerdi, & Adam Finkelstein. (2015). Palette-based photo recoloring. ACM Transactions on Graphics. 34(4). 1–11. 171 indexed citations
15.
Wang, Pei‐Yu, Huiwen Chang, & Feng‐Jung Yang. (2014). The Effect of Text-tracking Design on 4 th Graders’ Reading of e-Books. 2(5). 1 indexed citations
16.
He, Kaiming, Huiwen Chang, & Jian Sun. (2013). Content-Aware Rotation. 21 indexed citations
17.
Wen, Jiangtao, et al.. (2013). Cross Segment Decoding for Improved Quality of Experience for Video Applications. 231–240. 1 indexed citations
18.
He, Kaiming, Huiwen Chang, & Jian Sun. (2013). Rectangling panoramic images via warping. ACM Transactions on Graphics. 32(4). 1–10. 69 indexed citations

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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