Wanhua Li
I am a fifth year Ph.D student in the Department of Automation at Tsinghua University, advised by Prof. Jiwen Lu and Prof. Jianjiang Feng .
In 2017, I received my B.S. degree in computer science at Sun Yat-sen University, Guangzhou, China.
My research interests lie in computer vision and deep learning, particularly facial attribute analysis, graph neural networks, and meta learning.
Note: I expect to graduate in June 2022 and am pursuing a postdoctoral position. If you're interested in me, please let me know and do not hesitate to contact me.
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GitHub
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News
2022-04: One paper on image inpainting is accepted by TMM.
2021-10: Our team won the 3rd place in 2021 VIPriors Instance Segmentation Challenge (ICCV 2021).
2021-07: One paper on video inpainting detection is accepted by ICCV 2021.
2021-04: One paper on kinship verification is accepted by TIP.
2021-03: Three papers on uncertainty learning, kinship verification, and face clustering are accepted to CVPR 2021.
2020-07: One paper on social relation recognition is accepted to ECCV 2020.
2020-03: One paper on kinship verification is accepted as oral presentation at ICME 2020.
2019-02: One paper on age estimation is accepted to CVPR 2019.
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Learning Adaptive Patch Generators for Mask-Robust Image Inpainting
Hongyi Sun, Wanhua Li, Yueqi Duan, Jie Zhou, and Jiwen Lu
IEEE Transactions on Multimedia, 2022
[Paper]
[bibtex]
We propose a Mask-Robust Inpainting Network (MRIN) to recover the masked areas of an image with a patch-wise inpainting process.
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Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, and Jie Zhou
IEEE Transactions on Image Processing, 2021
[Paper]
[arxiv]
[bibtex]
We develop a Hierarchical Reasoning Graph Network (H-RGN) to exploit more powerful and flexible capacity for graph-based kinship verification.
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Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection
Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, and Jie Zhou
IEEE International Conference on Computer Vision (ICCV), 2021
[Paper]
[bibtex]
We propose a Frequency-Aware Spatiotemporal Transformer for video inpainting detection, which simultaneously mines the traces of video inpainting from spatial, temporal, and frequency domains.
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Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, and Jie Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Website]
[arxiv]
[Video]
[Code]
We propose probabilistic ordinal embeddings to empower the present-day regression methods with the ability of uncertainty estimation.
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Meta-Mining Discriminative Samples for Kinship Verification
Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, and Jie Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Website]
[arxiv]
[Video]
[bibtex]
A Discriminative Sample Meta-Mining strategy is proposed to mine discriminative information from limited positive pairs and sufficient negative samples for kinship verification.
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Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes
Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, and Jie Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Website]
[arxiv]
[Code]
[Video]
It is the first face clustering method to train on very large-scale graph with 20M nodes, and achieve superior inference results on 12M testing data.
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Graph-Based Social Relation Reasoning
Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou
European Conference on Computer Vision (ECCV), 2020
[Website]
[arxiv]
[Video]
[Code]
A simpler, faster, and more accurate method for social relation recognition.
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Graph-based Kinship Reasoning Network
Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, Jie Zhou
IEEE International Conference on Multimedia and Expo (ICME), 2020
Oral Presentation
[arXiv]
[Video]
[bibtex]
We considers how to compare and fuse the extracted feature pair to reason about the kin relations with the proposed graph-based kinship reasoning networks.
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BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[arXiv]
[PDF]
[bibtex]
We propose BridgeNet for age estimation, which aims to mine the continuous relation between age labels effectively.
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Honors and Awards
ICCV Doctoral Consortium Travel Award, 2021.
Weihai Talent Scholarship, Tsinghua, 2021.
3rd Place in 2021 VIPriors Instance Segmentation Challenge @ICCV 2021.
Outstanding Oral Presentation at 2021 Beijing University Academic Forum on Artificial Intelligence, 2021.
2nd Place in ChaLearn LAP Large-scale Isolated Gesture Recognition Challenge @ICCV 2017.
Outstanding Undergraduate Thesis, SYSU, 2017.
Outstanding Graduate, SYSU, 2017.
National Encouragement Scholarship, Ministry of Education of P.R. China, 2016.
National Scholarship, Ministry of Education of P.R. China, 2015.
National Scholarship, Ministry of Education of P.R. China, 2014.
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Professional Activities
Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence.
Reviewer, IEEE Transactions on Image Processing.
Reviewer, IEEE Transactions on Neural Networks and Learning Systems.
Reviewer, IEEE Transactions on Circuits and Systems for Video Technology.
Reviewer, IEEE Transactions on Biometrics, Behavior, and Identity Science.
Reviewer, Pattern Recognition.
Reviewer, Neural Networks.
Reviewer, Neurocomputing.
Reviewer, Pattern Recognition Letters.
Reviewer, Journal of Visual Communication and Image Representation.
Reviewer, International Conference on Computer Vision (ICCV), 2021.
Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Reviewer, European Conference on Computer Vision (ECCV), 2022.
PC Member, AAAI Conference on Artificial Intelligence (AAAI), 2022.
PC Member, International Joint Conference on Artificial Intelligence (IJCAI), 2022.
Reviewer, IEEE International Conference on Multimedia and Expo (ICME), 2019-2022.
Reviewer, IEEE International Conference on Image Processing (ICIP), 2018-2022.
Reviewer, International Conference on Pattern Recognition (ICPR), 2018-2022.
Reviewer, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021-2022.
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