Philip Torr

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 26

Top Topics

Rotational Invariant

External Knowledge

Top Venues

Trans. Mach. Learn. Res.

Publications

Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR (2024)
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. ACL (Findings) (2024)
Yuanze Lin, Ronald Clark, Philip Torr
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion. CoRR (2024)
Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari
Extracting Training Data from Document-Based VQA Models. CoRR (2024)
Jishnu Mukhoti, Yarin Gal, Philip Torr, Puneet K. Dokania
Fine-tuning can cripple your foundation model; preserving features may be the solution. Trans. Mach. Learn. Res. 2024 (2024)
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Aleksandar Petrov, Philip Torr, Adel Bibi
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. ICLR (2024)
Junlin Han, Filippos Kokkinos, Philip Torr
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models. CoRR (2024)
Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Jingxi Xu, Philip Torr, Xun Cao, Yao Yao
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer. CoRR (2024)
Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. ICLR (2024)
Tianqi Xu, Linyao Chen, Dai-Jie Wu, Yanjun Chen, Zecheng Zhang, Xiang Yao, Zhiqiang Xie, Yongchao Chen, Shilong Liu, Bochen Qian, Philip Torr, Bernard Ghanem, Guohao Li
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. CoRR (2024)
Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr, Lu Yuan
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge. CoRR (2024)
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
Can Editing LLMs Inject Harm? CoRR (2024)
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models. ICLR (2024)
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. CoRR (2024)
Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. CoRR (2024)
Ekaterina Iakovleva, Fabio Pizzati, Philip Torr, Stéphane Lathuilière
Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing. CoRR (2024)
Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. CoRR (2024)
Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. ICLR (2024)
Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR (2024)
Jia-Wang Bian, Wenjing Bian, Victor Adrian Prisacariu, Philip Torr
Porf: Pose residual field for accurate Neural surface Reconstruction. ICLR (2024)
Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip Torr, Bo Zhao
Real-Fake: Effective Training Data Synthesis Through Distribution Matching. ICLR (2024)
Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, João F. Henriques
Select to Perfect: Imitating desired behavior from large multi-agent data. ICLR (2024)
Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. CoRR (2024)
Yufan Chen, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ruiping Liu, Philip Torr, Rainer Stiefelhagen
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models. CoRR (2024)
Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr
Catastrophic overfitting can be induced with discriminative non-robust features. Trans. Mach. Learn. Res. 2023 (2023)