Shell Xu Hu

According to our database, Shell Xu Hu authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Compressing Features for Learning With Noisy Labels.

Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Feed-Forward Latent Domain Adaptation.

Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning.

Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut.

Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.

Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Augmenting CLIP with Improved Visio-Linguistic Reasoning.

Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Learning Where and When to Reason in Neuro-Symbolic Inference.

Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022

Federated Learning for Inference at Anytime and Anywhere.

Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales

CoRR, 2022

Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention.

Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales

CoRR, 2022

Fisher SAM: Information Geometry and Sharpness Aware Minimisation.

Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales

Proceedings of the International Conference on Machine Learning, 2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut.

Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference.

Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Re-ranking for image retrieval and transductive few-shot classification.

Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AvaTr: One-Shot Speaker Extraction with Transformers.

Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Boosting Co-Teaching With Compression Regularization for Label Noise.

Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients.

Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Exploring weight symmetry in deep neural networks.

Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis

Comput. Vis. Image Underst., 2019

Variational Information Distillation for Knowledge Transfer.

Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Exploring Weight Symmetry in Deep Neural Network.

Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis

CoRR, 2018

2015

Tree-Cut for Probabilistic Image Segmentation.

Shell Xu Hu, Christopher K. I. Williams, Sinisa Todorovic

CoRR, 2015