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Yingwei Li
Yingwei Li
Research Scientist, Waymo
Verified email at waymo.com - Homepage
Title
Cited by
Cited by
Year
Atomnas: Fine-grained end-to-end neural architecture search
J Mei, Y Li, X Lian, X Jin, L Yang, A Yuille, J Yang
International Conference on Learning Representations (ICLR), 2020
822020
Learning Transferable Adversarial Examples via Ghost Networks
Y Li, S Bai, Y Zhou, C Xie, Z Zhang, AL Yuille
AAAI Conference on Artificial Intelligence (AAAI), 2020
452020
Shape-Texture Debiased Neural Network Training
Y Li, Q Yu, M Tan, J Mei, P Tang, W Shen, A Yuille, C Xie
International Conference on Learning Representations (ICLR), 2021
432021
Adversarial Metric Attack and Defense for Person Re-identification
S Bai, Y Li, Y Zhou, Q Li, PHS Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
42*2020
Neural Architecture Search for Lightweight Non-Local Networks
Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille
Computer Vision and Pattern Recognition (CVPR), 2020
422020
Regional homogeneity: Towards learning transferable universal adversarial perturbations against defenses
Y Li, S Bai, C Xie, Z Liao, X Shen, AL Yuille
European Conference on Computer Vision (ECCV), 2020
382020
Hyper-pairing network for multi-phase pancreatic ductal adenocarcinoma segmentation
Y Zhou, Y Li, Z Zhang, Y Wang, A Wang, EK Fishman, AL Yuille, S Park
International Conference on Medical Image Computing and Computer-Assisted …, 2019
312019
Volumetric medical image segmentation: a 3D deep coarse-to-fine framework and its adversarial examples
Y Li, Z Zhu, Y Zhou, Y Xia, W Shen, EK Fishman, AL Yuille
Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019
182019
Adversarial attacks on monocular depth estimation
Z Zhang, X Zhu, Y Li, X Chen, Y Guo
arXiv preprint arXiv:2003.10315, 2020
122020
Multi-Scale Attentional Network for multi-focal segmentation of active bleed after pelvic fractures
Y Zhou, D Dreizin, Y Li, Z Zhang, Y Wang, A Yuille
International Workshop on Machine Learning in Medical Imaging (MICCAI-MLMI …, 2019
82019
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, B Wu, Y Lu, ...
Computer Vision and Pattern Recognition (CVPR), 2022
72022
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
Q Yu, Y Li, J Mei, Y Zhou, AL Yuille
AAAI Conference on Artificial Intelligence (AAAI), 2021
42021
Learning from Temporal Gradient for Semi-supervised Action Recognition
J Xiao, L Jing, L Zhang, J He, Q She, Z Zhou, A Yuille, Y Li
Computer Vision and Pattern Recognition (CVPR), 2022
32022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
V Gupta, Z Li, A Kortylewski, C Zhang, Y Li, A Yuille
Computer Vision and Pattern Recognition (CVPR), 2022
12022
Fast AdvProp
J Mei, Y Han, Y Bai, Y Zhang, Y Li, X Li, A Yuille, C Xie
International Conference on Learning Representations (ICLR), 2022
12022
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Y Li, T Chen, M Kabkab, R Yu, L Jing, Y You, H Zhao
International Conference on Learning Representations (ICLR), 2022
2022
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
H Pi, H Wang, Y Li, Z Li, A Yuille
BMVC, 2021
2021
Harnessing Perceptual Adversarial Patches for Crowd Counting
S Liu, J Wang, A Liu, Y Li, Y Gao, X Liu, D Tao
arXiv preprint arXiv:2109.07986, 2021
2021
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