Seguir
Shell Xu Hu
Shell Xu Hu
Samsung AI Center - Cambridge
Dirección de correo verificada de samsung.com - Página principal
Título
Citado por
Citado por
Año
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
7862019
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
1962022
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
SX Hu, PM Garcia, Y Xiao, X Shen, G Obozinski, ND Lawrence, ...
International Conference on Learning Representation (ICLR), 2020
1772020
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
1762022
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
782023
Fisher sam: Information geometry and sharpness aware minimisation
M Kim, D Li, SX Hu, T Hospedales
International Conference on Machine Learning, 11148-11161, 2022
722022
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
702013
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
592021
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
402021
Exploring Weight Symmetry in Deep Neural Network
XS Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
352018
Learning where and when to reason in neuro-symbolic inference
C Cornelio, J Stuehmer, SX Hu, T Hospedales
International Conference on Learning Representations, 2023
242023
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
S Basu, S Hu, D Massiceti, S Feizi
Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11024 …, 2024
202024
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 35 (2), 2124-2138, 2022
192022
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
192010
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
152013
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
142022
Editval: Benchmarking diffusion based text-guided image editing methods
S Basu, M Saberi, S Bhardwaj, AM Chegini, D Massiceti, M Sanjabi, ...
arXiv preprint arXiv:2310.02426, 2023
122023
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
82022
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
82022
Variational information distillation for knowledge transfer. In 2019 IEEE
S Ahn, S Hu, A Damianou, ND Lawrence, Z Dai
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9155-9163, 1982
51982
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20