| Variational information distillation for knowledge transfer S Ahn, SX Hu, A Damianou, ND Lawrence, Z Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 241 | 2019 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients SX Hu, Y Garcia, Pablo M., Xiao, X Shen, G Obozinski, ND Lawrence, ... International Conference on Learning Representation (ICLR), 2020 | 74 | 2020 |
| Toward real-time pedestrian detection based on a deformable template model M Pedersoli, J Gonzàlez, X Hu, X Roca IEEE Transactions on Intelligent Transportation Systems 15 (1), 355-364, 2013 | 62 | 2013 |
| An Event Based GUI Programming Toolkit for Embedded System X Hu, C Jiang, W Zhang, J Zhang, R Yu, C Lv 2010 IEEE Asia-Pacific Services Computing Conference, 625-631, 2010 | 19 | 2010 |
| Learning to detect basal tubules of nematocysts in sem images M Lam, J Doppa, X Hu, S Todorovic, T Dietterich, A Reft, M Daly Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 15 | 2013 |
| Exploring Weight Symmetry in Deep Neural Network XS Hu, S Zagoruyko, N Komodakis arXiv preprint arXiv:1812.11027, 2018 | 13 | 2018 |
| Variational information distillation for knowledge transfer. 2019 IEEE S Ahn, SX Hu, A Damianou, N Lawrence, Z Dai CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9155-9163, 2019 | 8 | 2019 |
| Boosting co-teaching with compression regularization for label noise Y Chen, X Shen, SX Hu, JAK Suykens Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Tree-Cut for Probabilistic Image Segmentation SX Hu, CKI Williams, S Todorovic arXiv preprint arXiv:1506.03852, 2015 | 4 | 2015 |
| Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut Y Wang, X Shen, S Hu, Y Yuan, J Crowley, D Vaufreydaz arXiv preprint arXiv:2202.11539, 2022 | 1 | 2022 |
| Re-ranking for image retrieval and transductive few-shot classification X Shen, Y Xiao, SX Hu, O Sbai, M Aubry Advances in Neural Information Processing Systems 34, 25932-25943, 2021 | 1 | 2021 |
| β-BNN: A Rate-Distortion Perspective on Bayesian Neural Networks SX Hu, PG Moreno, N Lawrence, A Damianou NeurIPS Workshop on Bayesian Deep Learning, 2018 | 1* | 2018 |
| SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning S Hu, G Obozinski International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 | 1 | 2018 |
| Multi-task Bilinear Classifiers for Visual Domain Adaptation J Xu, S Ramos, X Hu, D Vázquez, AM López NIPS Workshop on Domain Adaptation, 2013 | 1 | 2013 |
| Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference SX Hu, D Li, J Stühmer, M Kim, TM Hospedales arXiv preprint arXiv:2204.07305, 2022 | | 2022 |
| AvaTr: One-Shot Speaker Extraction with Transformers SX Hu, MR Arefin, VN Nguyen, A Dipani, X Pitkow, AS Tolias InterSpeech 2021 (arXiv:2105.00609), 2021 | | 2021 |
| Measurement of large, discontinuous displacement from digital images Z Luo, SX Hu, L Wang, Y Lu Strain - An International Journal for Experimental Mechanics, 2020 | | 2020 |
| Variational Mutual Information Distillation for Transfer Learning S Ahn, SX Hu, A Damianou, ND Lawrence, Z Dai NeurIPS Workshop on Continual Learning, 2018 | | 2018 |
| An Inexact Dual Augmented Lagrangian Method for Fast CRF Learning SX Hu, G Obozinski | | 2017 |
| Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls X Hu, M Lam, S Todorovic, T Dietterich, M O'Leary, A Cirranello, ... Proceedings of the IEEE International Conference on Computer Vision …, 2013 | | 2013 |
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