Yingwei Li
Yingwei Li
Research Scientist, Waymo
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Harnessing perceptual adversarial patches for crowd counting
S Liu, J Wang, A Liu, Y Li, Y Gao, X Liu, D Tao
Proceedings of the 2022 ACM SIGSAC conference on computer and communications …, 2022
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
Adversarial attacks on monocular depth estimation
Z Zhang, X Zhu, Y Li, X Chen, Y Guo
arXiv preprint arXiv:2003.10315, 2020
Context-Enhanced Stereo Transformer
W Guo, Z Li, Y Yang, Z Wang, RH Taylor, M Unberath, A Yuille, Y Li
European Conference on Computer Vision (ECCV), 2022
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
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Z Chen, L Jing, Y Li, B Li
Advances on Neural Information Processing Systems (NeurIPS), 2023, 2023
Class-level confidence based 3d semi-supervised learning
Z Chen, L Jing, L Yang, Y Li, B Li
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
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
Point cloud self-supervised learning via 3d to multi-view masked autoencoder
Z Chen, Y Li, L Jing, L Yang, B Li
arXiv preprint arXiv:2311.10887, 2023
Modar: Using motion forecasting for 3d object detection in point cloud sequences
Y Li, CR Qi, Y Zhou, C Liu, D Anguelov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
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