| 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 | 82 | 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 | 45 | 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 | 43 | 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 | 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 | 42 | 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 | 38 | 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 | 31 | 2019 |
| 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 | 18 | 2019 |
| Adversarial attacks on monocular depth estimation Z Zhang, X Zhu, Y Li, X Chen, Y Guo arXiv preprint arXiv:2003.10315, 2020 | 12 | 2020 |
| 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 | 8 | 2019 |
| 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 | 7 | 2022 |
| 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 | 4 | 2021 |
| 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 | 3 | 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
