| 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 | 282 | 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 | 90 | 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 | 64 | 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 | 14 | 2018 |
| 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 | 11 | 2021 |
| Self-supervised transformers for unsupervised object discovery using normalized cut Y Wang, X Shen, SX Hu, Y Yuan, JL Crowley, D Vaufreydaz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| Tree-Cut for Probabilistic Image Segmentation SX Hu, CKI Williams, S Todorovic arXiv preprint arXiv:1506.03852, 2015 | 4 | 2015 |
| 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 | 3 | 2021 |
| Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ... NeurIPS 2021 Competitions and Demonstrations Track, 80-96, 2022 | 1 | 2022 |
| Compressing Features for Learning With Noisy Labels Y Chen, SX Hu, X Shen, C Ai, JAK Suykens IEEE Transactions on Neural Networks and Learning Systems, 2022 | 1 | 2022 |
| 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 |
| Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention O Bohdal, D Li, SX Hu, T Hospedales First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | | 2022 |
| Fisher SAM: Information Geometry and Sharpness Aware Minimisation M Kim, D Li, SX Hu, T Hospedales International Conference on Machine Learning, 11148-11161, 2022 | | 2022 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 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 |
Andreas DamianouSpotifyVerified email at spotify.com
