| Few-shot image recognition by predicting parameters from activations S Qiao, C Liu, W Shen, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 265 | 2018 |
| Single-shot object detection with enriched semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 129 | 2018 |
| Deep Co-Training for Semi-Supervised Image Recognition S Qiao, W Shen, Z Zhang, B Wang, A Yuille The European Conference on Computer Vision (ECCV), 2018 | 105 | 2018 |
| Unrealcv: Virtual worlds for computer vision W Qiu, F Zhong, Y Zhang, S Qiao, Z Xiao, TS Kim, Y Wang Proceedings of the 25th ACM international conference on multimedia, 1221-1224, 2017 | 100 | 2017 |
| Finding task-relevant features for few-shot learning by category traversal H Li, D Eigen, S Dodge, M Zeiler, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 83 | 2019 |
| Micro-Batch Training with Batch-Channel Normalization and Weight Standardization S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv e-prints, arXiv: 1903.10520, 2019 | 73* | 2019 |
| Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students C Yang, L Xie, S Qiao, A Yuille AAAI, 2019 | 65* | 2019 |
| Sort: Second-order response transform for visual recognition Y Wang, L Xie, C Liu, S Qiao, Y Zhang, W Zhang, Q Tian, A Yuille Proceedings of the IEEE International Conference on Computer Vision, 1359-1368, 2017 | 40 | 2017 |
| Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution S Qiao, LC Chen, A Yuille arXiv preprint arXiv:2006.02334, 2020 | 35 | 2020 |
| Scalenet: Guiding object proposal generation in supermarkets and beyond S Qiao, W Shen, W Qiu, C Liu, A Yuille Proceedings of the IEEE International Conference on Computer Vision, 1791-1800, 2017 | 34 | 2017 |
| Robust face detection via learning small faces on hard images Z Zhang, W Shen, S Qiao, Y Wang, B Wang, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 15 | 2020 |
| Neural rejuvenation: Improving deep network training by enhancing computational resource utilization S Qiao, Z Lin, J Zhang, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 12 | 2019 |
| Multi-Scale Spatially-Asymmetric Recalibration for Image Classification Y Wang, L Xie, S Qiao, Y Zhang, W Zhang, AL Yuille The European Conference on Computer Vision (ECCV), 2018 | 12 | 2018 |
| Structure-aware QR code abstraction S Qiao, X Fang, B Sheng, W Wu, E Wu The Visual Computer 31 (6), 1123-1133, 2015 | 10 | 2015 |
| Tdapnet: Prototype network with recurrent top-down attention for robust object classification under partial occlusion M Xiao, A Kortylewski, R Wu, S Qiao, W Shen, A Yuille arXiv preprint arXiv:1909.03879, 2019 | 9 | 2019 |
| Gradually updated neural networks for large-scale image recognition S Qiao, Z Zhang, W Shen, B Wang, A Yuille The International Conference on Machine Learning (ICML), 2018 | 6 | 2018 |
| Rethinking normalization and elimination singularity in neural networks S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1911.09738, 2019 | 4 | 2019 |
| Shape-aware Feature Extraction for Instance Segmentation H Ding, S Qiao, W Shen, A Yuille arXiv preprint arXiv:1911.11263, 2019 | 4 | 2019 |
| Unleashing the potential of cnns for interpretable few-shot learning B Deng, Q Liu, S Qiao, A Yuille | 2 | 2018 |
| ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation S Qiao, Y Zhu, H Adam, A Yuille, LC Chen arXiv preprint arXiv:2012.05258, 2020 | 1 | 2020 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
