Hazel Doughty

Hazel Doughty

Universiteit van Amsterdam

H-index: 11

Europe-Netherlands

About Hazel Doughty

Hazel Doughty, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Computer Vision, Video Understanding.

His recent articles reflect a diverse array of research interests and contributions to the field:

Low-Resource Vision Challenges for Foundation Models

Background no more: Action recognition across domains by causal interventions

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

Learning Unseen Modality Interaction

Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization

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

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

Audio-adaptive activity recognition across video domains

Hazel Doughty Information

University

Position

___

Citations(all)

2099

Citations(since 2020)

2062

Cited By

491

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Universiteit van Amsterdam

Google Scholar

View Google Scholar Profile

Hazel Doughty Skills & Research Interests

Computer Vision

Video Understanding

Top articles of Hazel Doughty

Title

Journal

Author(s)

Publication Date

Low-Resource Vision Challenges for Foundation Models

Yunhua Zhang

Hazel Doughty

Cees GM Snoek

2024/1/9

Background no more: Action recognition across domains by causal interventions

Computer Vision and Image Understanding

Sarah Rastegar

Hazel Doughty

Cees GM Snoek

2024/2/28

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

Sarah Rastegar

Hazel Doughty

Cees GM Snoek

2023/10/30

Learning Unseen Modality Interaction

Yunhua Zhang

Hazel Doughty

Cees GM Snoek

2023/6/22

Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Fida Mohammad Thoker

Hazel Doughty

Cees Snoek

2023/3/20

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

Fida Mohammad Thoker

Hazel Doughty

Piyush Bagad

Cees GM Snoek

2022/10/22

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Hazel Doughty

Cees GM Snoek

2022/3/23

Audio-adaptive activity recognition across video domains

Yunhua Zhang

Hazel Doughty

Ling Shao

Cees GM Snoek

2022

Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight

arXiv preprint arXiv:2212.02053

Yunhua Zhang

Hazel Doughty

Cees GM Snoek

2022/12/5

Skill determination from long videos

Hazel R Doughty

2021

Skeleton-Contrastive 3D Action Representation Learning

Fida Mohammad Thoker

Hazel Doughty

Cees GM Snoek

2021/10/17

Wicv 2020: The seventh women in computer vision workshop

arXiv preprint arXiv:2101.03787

Hazel Doughty

Nour Karessli

Kathryn Leonard

Boyi Li

Carianne Martinez

...

2021/1/11

On semantic similarity in video retrieval

Michael Wray

Hazel Doughty

Dima Damen

2021/3/18

The epic-kitchens dataset: Collection, challenges and baselines

IEEE Transations on Pattern Analysis and Machine Intelligence (TPAMI)

Dima Damen

Hazel Doughty

Giovanni Farinella

Sanja Fidler

Antonino Furnari

...

2021/10/3

Action modifiers: Learning from adverbs in instructional videos

Hazel Doughty

Ivan Laptev

Walterio Mayol-Cuevas

Dima Damen

2020

See List of Professors in Hazel Doughty University(Universiteit van Amsterdam)

Co-Authors

H-index: 62
Cees G. M. Snoek

Cees G. M. Snoek

Universiteit van Amsterdam

H-index: 38
Giovanni Maria Farinella

Giovanni Maria Farinella

Università degli Studi di Catania

H-index: 35
Dima Damen

Dima Damen

University of Bristol

H-index: 26
Antonino Furnari

Antonino Furnari

Università degli Studi di Catania

H-index: 10
Michael Wray

Michael Wray

University of Bristol

H-index: 8
Evangelos Kazakos

Evangelos Kazakos

University of Bristol

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