Shell Xu Hu
Shell Xu Hu
Samsung AI Center - Cambridge
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Exploring Weight Symmetry in Deep Neural Network
XS Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
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
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
Tree-Cut for Probabilistic Image Segmentation
SX Hu, CKI Williams, S Todorovic
arXiv preprint arXiv:1506.03852, 2015
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
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
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
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
S Hu, G Obozinski
International Conference on Artificial Intelligence and Statistics (AISTATS), 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
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
Y Wang, X Shen, Y Yuan, Y Du, M Li, SX Hu, JL Crowley, D Vaufreydaz
arXiv preprint arXiv:2209.00383, 2022
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
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention
O Bohdal, D Li, SX Hu, T Hospedales
arXiv preprint arXiv:2207.07624, 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
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
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