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
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
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
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
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
Fisher sam: Information geometry and sharpness aware minimisation
M Kim, D Li, SX Hu, T Hospedales
International Conference on Machine Learning, 11148-11161, 2022
Exploring Weight Symmetry in Deep Neural Network
XS Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
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
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023
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
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
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
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
Feed-forward source-free latent domain adaptation via cross-attention
O Bohdal, D Li, SX Hu, T Hospedales
arXiv preprint arXiv:2207.07624, 2022
Tree-Cut for Probabilistic Image Segmentation
SX Hu, CKI Williams, S Todorovic
arXiv preprint arXiv:1506.03852, 2015
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S Basu, D Massiceti, SX Hu, S Feizi
arXiv preprint arXiv:2304.01917, 2023
Learning where and when to reason in neuro-symbolic inference
C Cornelio, J Stuehmer, SX Hu, T Hospedales
International Conference on Learning Representations, 2023
Federated Learning for Inference at Anytime and Anywhere
Z Liu, D Li, J Fernandez-Marques, S Laskaridis, Y Gao, Ł Dudziak, SZ Li, ...
arXiv preprint arXiv:2212.04084, 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
Measurement of large, discontinuous displacement from digital images
Z Luo, SX Hu, L Wang, Y Lu
Strain - An International Journal for Experimental Mechanics, 2020
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Articles 1–20