Recent News
- [06/01/2021] I join Google as an research intern.
- [01/15/2021] I am serving as a Senior Program Committee for IJCAI 2021.
- [01/12/2021] Our work on Shape-Texture Debiased Learning is accepted by ICLR 2021.
- [12/02/2020] One paper is accepted by AAAI 2021.
|
|
Research
My research interests mainly lay in computer vision, especially on autonomous driving, robust representation learning, multi-modality fusion, automated machine learning, medical machine intelligence. Representative papers are highlighted. I am open to new topics.
|
|
Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li,
Adams Yu,
Tianjian Meng,
Ben Caine,
Jiquan Ngiam,
Daiyi Peng,
Junyang Shen,
Yifeng Lu,
Denny Zhou,
Quoc Le,
Alan Yuille,
Mingxing Tan
Under review
@inproceedings{
li2022lidarcamera,
title={Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection},
author={Anonymous},
booktitle={In Submisssion},
year={2022},
note={under review}
}
|
|
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Yingwei Li,
Tiffany Chen,
Maya Kabkab,
Ruichi Yu,
Longlong Jing,
Yurong You,
Hang Zhao
Under review
Open Review  / 
bibtex
@inproceedings{
anonymous2022rd,
title={R4D: Utilizing Reference Objects for Long-Range Distance Estimation},
author={Anonymous},
booktitle={Submitted to The Tenth International Conference on Learning Representations },
year={2022},
url={https://openreview.net/forum?id=MQ2sAGunyBP},
note={under review}
}
|
|
Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao,
Longlong Jing,
Lin Zhang,
Ju He,
Qi She,
Zongwei Zhou,
Alan Yuille,
Yingwei Li
Tech report, arxiv
arxiv  / 
bibtex
@misc{xiao2021learning,
title={Learning from Temporal Gradient for Semi-supervised Action Recognition},
author={Junfei Xiao and Longlong Jing and Lin Zhang and Ju He and Qi She and Zongwei Zhou and Alan Yuille and Yingwei Li},
year={2021},
eprint={2111.13241},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
|
|
Harnessing Perceptual Adversarial Patches for Crowd Counting
Shunchang Liu,
Jiakai Wang,
Aishan Liu,
Yingwei Li,
Yijie Gao,
Xianglong Liu,
Dacheng Tao
Tech report, arxiv
arxiv  / 
bibtex
@misc{liu2021harnessing,
title={Harnessing Perceptual Adversarial Patches for Crowd Counting},
author={Shunchang Liu and Jiakai Wang and Aishan Liu and Yingwei Li and Yijie Gao and Xianglong Liu and Dacheng Tao},
year={2021},
eprint={2109.07986},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
|
|
Adversarial Attacks on Monocular Depth Estimation
Ziqi Zhang,
Xinge Zhu,
Yingwei Li,
Xiangqun Chen,
Yao Guo
Tech report, arxiv
arxiv  / 
bibtex
@misc{zhang2020adversarial,
title={Adversarial Attacks on Monocular Depth Estimation},
author={Ziqi Zhang and Xinge Zhu and Yingwei Li and Xiangqun Chen and Yao Guo},
year={2020},
eprint={2003.10315},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
|
|
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
Huaijin Pi,
Huiyu Wang,
Yingwei Li,
Zizhang Li,
Alan Yuille
BMVC, 2021
arxiv  / 
project page  / 
bibtex
@misc{pi2021searching,
title={Searching for TrioNet: Combining Convolution with Local and Global Self-Attention},
author={Huaijin Pi and Huiyu Wang and Yingwei Li and Zizhang Li and Alan Yuille},
year={2021},
eprint={2111.07547},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
|
|
Shape-Texture Debiased Neural Network Training
Yingwei Li,
Qihang Yu,
Mingxing Tan,
Jieru Mei,
Peng Tang,
Wei Shen,
Alan Yuille,
Cihang Xie
ICLR, 2021
arxiv  / 
project page  / 
slides  / 
short talk  / 
bibtex
@article{li2020shapetexture,
author = {Li, Yingwei and Yu, Qihang and Tan, Mingxing and Mei, Jieru and Tang, Peng and Shen, Wei and Yuille, Alan and Xie, Cihang},
title = {Shape-Texture Debiased Neural Network Training},
journal = {arXiv preprint arXiv:2010.05981},
year = {2020}
}
|
|
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
Qihang Yu,
Yingwei Li,
Jieru Mei,
Yuyin Zhou,
Alan Yuille
AAAI, 2021
arxiv  / 
project page  / 
bibtex
@article{yu2020cakes,
title={CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network},
author={Yu, Qihang and Li, Yingwei and Mei, Jieru and Zhou, Yuyin and Yuille, Alan L},
journal={arXiv preprint arXiv:2003.12798},
year={2020}
}
|
|
Adversarial Metric Attack and Defense for Person Re-identification
Song Bai,
Yingwei Li,
Yuyin Zhou,
Qizhu Li,
Philip H.S. Torr
TPAMI, 2020
arxiv  / 
project page  / 
bibtex
@article{bai2019adversarial,
title={Adversarial Metric Attack for Person Re-identification},
author={Bai, Song and Li, Yingwei and Zhou, Yuyin and Li, Qizhu and Torr, Philip HS},
journal={arXiv preprint arXiv:1901.10650},
year={2019}
}
|
|
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
Yingwei Li,
Song Bai,
Cihang Xie,
Zhenyu Liao,
Xiaohui Shen,
Alan Yuille
ECCV, 2020
arxiv  / 
project page  / 
bibtex
@article{li2019regional,
title={Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses},
author={Li, Yingwei and Bai, Song and Xie, Cihang and Liao, Zhenyu and Shen, Xiaohui and Yuille, Alan},
journal={arXiv preprint arXiv:1904.00979},
year={2019}
}
|
|
Neural Architecture Search for Lightweight Non-Local Networks
Yingwei Li,
Xiaojie Jin,
Jieru Mei,
Xiaochen Lian,
Linjie Yang,
Cihang Xie,
Qihang Yu,
Yuyin Zhou,
Song Bai,
Alan Yuille
CVPR, 2020
arxiv  / 
project page  / 
pytorch reimplementation  / 
bibtex
@inproceedings{li2020neural,
title={Neural Architecture Search for Lightweight Non-local Networks},
author={Li, Yingwei and Jin, Xiaojie and Mei, Jieru and Lian, Xiaochen and Yang, Linjie and Xie, Cihang and Yu, Qihang and Zhou, Yuyin and Bai, Song and Yuille, Alan},
booktitle={CVPR},
year={2020}
}
|
|
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei,
Yingwei Li,
Xiaochen Lian,
Xiaojie Jin,
Linjie Yang,
Alan Yuille,
Jianchao Yang
ICLR, 2020
arxiv  / 
project page  / 
bibtex
@inproceedings{
mei2020atomnas,
title={Atom{\{}NAS{\}}: Fine-Grained End-to-End Neural Architecture Search},
author={Jieru Mei and Yingwei Li and Xiaochen Lian and Xiaojie Jin and Linjie Yang and Alan Yuille and Jianchao Yang},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=BylQSxHFwr}
}
|
|
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li,
Song Bai,
Yuyin Zhou,
Cihang Xie,
Zhishuai Zhang,
Alan Yuille
AAAI, 2020
CVPR Workshop (Oral), 2019
arxiv  / 
project page  / 
bibtex
@inproceedings{li2020learning,
title={Learning Transferable Adversarial Examples via Ghost Networks},
author={Li, Yingwei and Bai, Song and Zhou, Yuyin and Xie, Cihang and Zhang, Zhishuai and Yuille, Alan},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={34},
year={2020}
}
|
|
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
Yingwei Li*,
Zhuotun Zhu*
Yuyin Zhou,
Yingda Xia,
Wei Shen,
Elliot K Fishman,
Alan Yuille
Book Chapter: Deep Learning and CNN for Medical Image Computing , 2019
arxiv  / 
bibtex
@Inbook{Li2019,
author="Li, Yingwei and Zhu, Zhuotun and Zhou, Yuyin and Xia, Yingda and Shen, Wei and Fishman, Elliot K. and Yuille, Alan L.",
title="Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples",
bookTitle="Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="69--91",
isbn="978-3-030-13969-8",
doi="10.1007/978-3-030-13969-8_4",
url="https://doi.org/10.1007/978-3-030-13969-8_4"
}
|
|
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation
Yuyin Zhou,
Yingwei Li,
Zhishuai Zhang,
Yan Wang,
Angtian Wang,
Elliot K Fishman,
Alan Yuille,
Seyoun Park
MICCAI, 2019
arxiv  / 
bibtex
@inproceedings{zhou2019hyper,
title={Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation},
author={Zhou, Yuyin and Li, Yingwei and Zhang, Zhishuai and Wang, Yan and Wang, Angtian and Fishman, Elliot K and Yuille, Alan L and Park, Seyoun},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={155--163},
year={2019},
organization={Springer}
}
|
|
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Yuyin Zhou,
David Dreizin,
Yingwei Li,
Zhishuai Zhang,
Yan Wang,
Alan Yuille
MICCAI-MLMI, 2019
arxiv  / 
bibtex
@InProceedings{10.1007/978-3-030-32692-0_53,
author="Zhou, Yuyin and Dreizin, David and Li, Yingwei and Zhang, Zhishuai and Wang, Yan and Yuille, Alan",
title="Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures",
booktitle="Machine Learning in Medical Imaging",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="461--469",
isbn="978-3-030-32692-0"
}
|
Current and Past Affiliations
|
|
|
|
|
|
|
|
|
Current and Past Affiliations
|
|
|
|
|
|
|
|
|
|
|
|