Hazel Doughty

According to our database, Hazel Doughty authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Background no more: Action recognition across domains by causal interventions.

Sarah Rastegar, Hazel Doughty, Cees G. M. Snoek

Comput. Vis. Image Underst., 2024

SelEx: Self-expertise in Fine-Grained Generalized Category Discovery.

Sarah Rastegar, Mohammadreza Salehi, Yuki M. Asano, Hazel Doughty, Cees G. M. Snoek

Proceedings of the Computer Vision - ECCV 2024, 2024

Low-Resource Vision Challenges for Foundation Models.

Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LocoMotion: Learning Motion-Focused Video-Language Representations.

Hazel Doughty, Fida Mohammad Thoker, Cees G. M. Snoek

Proceedings of the Computer Vision - ACCV 2024, 2024

Beyond Coarse-Grained Matching in Video-Text Retrieval.

Aozhu Chen, Hazel Doughty, Xirong Li, Cees G. M. Snoek

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Learning Unseen Modality Interaction.

Yunhua Zhang, Hazel Doughty, Cees Snoek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery.

Sarah Rastegar, Hazel Doughty, Cees Snoek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization.

Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek

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

2022

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100.

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

Int. J. Comput. Vis., 2022

Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight.

Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek

CoRR, 2022

How Severe Is Benchmark-Sensitivity in Video Self-supervised Learning?

Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek

Proceedings of the Computer Vision - ECCV 2022, 2022

Audio-Adaptive Activity Recognition Across Video Domains.

Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek

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

How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs.

Hazel Doughty, Cees G. M. Snoek

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

2021

Skill determination from long videos.

Hazel Doughty

PhD thesis, 2021

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines.

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

IEEE Trans. Pattern Anal. Mach. Intell., 2021

WiCV 2020: The Seventh Women In Computer Vision Workshop.

Hazel Doughty, Nour Karessli, Kathryn Leonard, Boyi Li, Carianne Martinez, Azadeh Mobasher, Arsha Nagrani, Srishti Yadav

CoRR, 2021

Preface.

Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

Skeleton-Contrastive 3D Action Representation Learning.

Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

On Semantic Similarity in Video Retrieval.

Michael Wray, Hazel Doughty, Dima Damen

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

2020

Rescaling Egocentric Vision.

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

CoRR, 2020

Action Modifiers: Learning From Adverbs in Instructional Videos.

Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos.

Hazel Doughty, Walterio W. Mayol-Cuevas, Dima Damen

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

2018

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset.

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

CoRR, 2018

Scaling Egocentric Vision: The Dataset.

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

Proceedings of the Computer Vision - ECCV 2018, 2018

Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination.

Hazel Doughty, Dima Damen, Walterio W. Mayol-Cuevas

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

2017

Who's Better, Who's Best: Skill Determination in Video using Deep Ranking.

Hazel Doughty, Dima Damen, Walterio W. Mayol-Cuevas

CoRR, 2017