Philip Torr

Philip Torr

University of Oxford

H-index: 131

Europe-United Kingdom

About Philip Torr

Philip Torr, With an exceptional h-index of 131 and a recent h-index of 87 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Department of Engineering.

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

Scaling the convex barrier with sparse dual algorithms

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models

No" Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

Language model tokenizers introduce unfairness between languages

Revealing Decurve Flows for Generalized Graph Propagation

Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning

RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization

Philip Torr Information

University

Position

Professor

Citations(all)

89889

Citations(since 2020)

56444

Cited By

51845

hIndex(all)

131

hIndex(since 2020)

87

i10Index(all)

396

i10Index(since 2020)

303

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Philip Torr Skills & Research Interests

Department of Engineering

Top articles of Philip Torr

Title

Journal

Author(s)

Publication Date

Scaling the convex barrier with sparse dual algorithms

Journal of Machine Learning Research

Alessandro De Palma

Harkirat Singh Behl

Rudy Bunel

Philip HS Torr

M Pawan Kumar

2024

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models

arXiv preprint arXiv:2404.15518

Yangchen Pan

Junfeng Wen

Chenjun Xiao

Philip Torr

2024/4/23

No" Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

arXiv preprint arXiv:2404.04125

Vishaal Udandarao

Ameya Prabhu

Adhiraj Ghosh

Yash Sharma

Philip HS Torr

...

2024/4/4

Language model tokenizers introduce unfairness between languages

Aleksandar Petrov

Emanuele La Malfa

Philip HS Torr

Adel Bibi

2023/5/17

Revealing Decurve Flows for Generalized Graph Propagation

arXiv preprint arXiv:2402.08480

Chen Lin

Liheng Ma

Yiyang Chen

Wanli Ouyang

Michael M Bronstein

...

2024/2/13

Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning

International Journal of Computer Vision

Chenyi Jiang

Yuming Shen

Dubing Chen

Haofeng Zhang

Ling Shao

...

2024/2/27

RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

arXiv preprint arXiv:2403.14442

Yufan Chen

Jiaming Zhang

Kunyu Peng

Junwei Zheng

Ruiping Liu

...

2024/3/21

A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization

arXiv preprint arXiv:2403.11062

Yudong Luo

Yangchen Pan

Han Wang

Philip Torr

Pascal Poupart

2024/3/17

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

arXiv preprint arXiv:2404.12766

Wenxuan Zhang

Youssef Mohamed

Bernard Ghanem

Philip HS Torr

Adel Bibi

...

2024/4/19

Secret Collusion Among Generative AI Agents

arXiv preprint arXiv:2402.07510

Sumeet Ramesh Motwani

Mikhail Baranchuk

Martin Strohmeier

Vijay Bolina

Philip HS Torr

...

2024/2/12

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

arXiv preprint arXiv:2404.03411

Shuo Chen

Zhen Han

Bailan He

Zifeng Ding

Wenqian Yu

...

2024/4/4

RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning

arXiv preprint arXiv:2402.08823

Ameya Prabhu

Shiven Sinha

Ponnurangam Kumaraguru

Philip HS Torr

Ozan Sener

...

2024/2/13

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation

arXiv preprint arXiv:2402.16392

Pau de Jorge

Riccardo Volpi

Puneet K Dokania

Philip HS Torr

Gregory Rogez

2024/2/26

On Pretraining Data Diversity for Self-Supervised Learning

arXiv preprint arXiv:2403.13808

Hasan Abed Al Kader Hammoud*

Tuhin Das*

Fabio Pizzati*

Philip Torr

Adel Bibi

...

2024/3/20

An image is worth 1000 lies: Adversarial transferability across prompts on vision-language models

arXiv preprint arXiv:2403.09766

Haochen Luo

Jindong Gu

Fengyuan Liu

Philip Torr

2024/3/14

kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies

arXiv preprint arXiv:2404.09447

Zhongrui Gui

Shuyang Sun

Runjia Li

Jianhao Yuan

Zhaochong An

...

2024/4/15

Can Large Language Model Agents Simulate Human Trust Behaviors?

arXiv preprint arXiv:2402.04559

Chengxing Xie

Canyu Chen

Feiran Jia

Ziyu Ye

Kai Shu

...

2024/2/7

Model-agnostic Origin Attribution of Generated Images with Few-shot Examples

arXiv preprint arXiv:2404.02697

Fengyuan Liu

Haochen Luo

Yiming Li

Philip Torr

Jindong Gu

2024/4/3

Revisiting evaluation metrics for semantic segmentation: Optimization and evaluation of fine-grained intersection over union

Advances in Neural Information Processing Systems

Zifu Wang

Maxim Berman

Amal Rannen-Triki

Philip Torr

Devis Tuia

...

2024/2/13

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images

arXiv preprint arXiv:2402.14899

Zefeng Wang

Zhen Han

Shuo Chen

Fan Xue

Zifeng Ding

...

2024/2/22

See List of Professors in Philip Torr University(University of Oxford)

Co-Authors

H-index: 194
Andrew Zisserman

Andrew Zisserman

University of Oxford

H-index: 95
Roberto Cipolla

Roberto Cipolla

University of Cambridge

H-index: 84
Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

H-index: 58
David Murray

David Murray

University of Oxford

H-index: 37
M. Pawan Kumar

M. Pawan Kumar

University of Oxford

H-index: 36
Victor Adrian Prisacariu

Victor Adrian Prisacariu

University of Oxford

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