Yongqin Xian

Luc Van Gool

Int. J. Comput. Vis., September, 2024

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.

[BibT_eX]

[DOI]

Massimiliano Mancini

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Toward a Diffusion-Based Generalist for Dense Vision Tasks.

[BibT_eX]

[DOI]

Bernt Schiele

CoRR, 2024

LocCa: Visual Pretraining with Location-aware Captioners.

[BibT_eX]

[DOI]

Ibrahim Alabdulmohsin

CoRR, 2024

SILC: Improving Vision Language Pretraining with Self-distillation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Text-Conditioned Resampler For Long Form Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

PALM: Predicting Actions through Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

LIME: Localized Image Editing via Attention Regularization in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

LALM: Long-Term Action Anticipation with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Detecting Adversarial Faces Using Only Real Face Self-Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Prototype Classifiers for Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification.

[BibT_eX]

[DOI]

Muhammad Gul Zain Ali Khan

Muhammad Zeshan Afzal

Didier Stricker

Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Attribute Prototype Network for Any-Shot Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification.

[BibT_eX]

[DOI]

Luc Van Gool

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D Compositional Zero-Shot Learning with DeCompositional Consensus.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning.

[BibT_eX]

[DOI]

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

Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

2021

(SP)<sup>2</sup>Net for Generalized Zero-Label Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

A Closer Look at Self-Training for Zero-Label Semantic Segmentation.

[BibT_eX]

[DOI]

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

Learning Graph Embeddings for Compositional Zero-Shot Learning.

[BibT_eX]

[DOI]

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

Open World Compositional Zero-Shot Learning.

[BibT_eX]

[DOI]

Massimiliano Mancini

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

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning.

[BibT_eX]

[DOI]

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

Prototype-based Incremental Few-Shot Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning from limited labeled data - Zero-Shot and Few-Shot Learning.

[BibT_eX]

[DOI]

PhD thesis, 2020

A Few Guidelines for Incremental Few-Shot Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Attribute Prototype Network for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Many-Way Few-Shot Video Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Analyzing the Dependency of ConvNets on Spatial Information.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning.

[BibT_eX]

[DOI]

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

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation.

[BibT_eX]

[DOI]

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

2018

Feature Generating Networks for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Zero-Shot Learning - The Good, the Bad and the Ugly.

[BibT_eX]

[DOI]

Bernt Schiele