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:

Near to Mid-term Risks and Opportunities of Open Source Generative AI

Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples

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

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

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

AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment

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

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

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

Google Scholar

Philip Torr Skills & Research Interests

Department of Engineering

Top articles of Philip Torr

Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples

arXiv preprint arXiv:2404.16557

2024/4/25

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

arXiv preprint arXiv:2404.15518

2024/4/23

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

arXiv preprint arXiv:2404.12766

2024/4/19

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

arXiv preprint arXiv:2404.09447

2024/4/15

AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment

arXiv preprint arXiv:2404.04946

2024/4/7

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

arXiv preprint arXiv:2404.04125

2024/4/4

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

arXiv preprint arXiv:2404.03411

2024/4/4

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

arXiv preprint arXiv:2404.02697

2024/4/3

DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion

arXiv preprint arXiv:2403.17237

2024/3/25

Ronald Clark
Ronald Clark

H-Index: 13

Philip Torr
Philip Torr

H-Index: 69

NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

arXiv preprint arXiv:2403.14442

2024/3/21

On Pretraining Data Diversity for Self-Supervised Learning

arXiv preprint arXiv:2403.13808

2024/3/20

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

arXiv preprint arXiv:2403.12693

2024/3/19

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

arXiv preprint arXiv:2403.12488

2024/3/19

Vfusion3d: Learning scalable 3d generative models from video diffusion models

arXiv preprint arXiv:2403.12034

2024/3/18

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

arXiv preprint arXiv:2403.11062

2024/3/17

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

arXiv preprint arXiv:2403.09766

2024/3/14

GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing

arXiv preprint arXiv:2403.08733

2024/3/13

CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios

arXiv preprint arXiv:2403.04640

2024/3/7

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

Co-Authors

academic-engine