Philip H. S. Torr

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 528

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

NeurIPS

Publications

Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation. CoRR (2024)
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. CoRR (2024)
Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. AAAI (2024)
Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip H. S. Torr, Zhifeng Li, Wei Liu
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. CoRR (2024)
Zhongrui Gui, Shuyang Sun, Runjia Li, Jianhao Yuan, Zhaochong An, Karsten Roth, Ameya Prabhu, Philip H. S. Torr
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies. CoRR (2024)
Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip H. S. Torr, Volker Tresp, Jindong Gu
Localizing Events in Videos with Multimodal Queries. CoRR (2024)
Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip H. S. Torr, Wei Liu, Zhifeng Li
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples. CoRR (2024)
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip H. S. Torr
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models. CoRR (2024)
Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Philip H. S. Torr, Nicu Sebe
Cloth Interactive Transformer for Virtual Try-On. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi
Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR (2024)
Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. CoRR (2024)
Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip H. S. Torr
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? CoRR (2024)
Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. CoRR (2024)
Tim Franzmeyer, Edith Elkind, Philip H. S. Torr, Jakob N. Foerster, João F. Henriques
Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR (2024)
Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. CoRR (2024)
Gengyuan Hu, Gengchen Wei, Zekun Lou, Philip H. S. Torr, Wanli Ouyang, Hansen Zhong, Chen Lin
Self-consistent Validation for Machine Learning Electronic Structure. CoRR (2024)
Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip H. S. Torr, Fabio Pizzati
Latent Guard: a Safety Framework for Text-to-image Generation. CoRR (2024)
Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip H. S. Torr, Jindong Gu
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR (2024)
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Risks and Opportunities of Open-Source Generative AI. CoRR (2024)
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip H. S. Torr, Bernard Ghanem, Guohao Li
Can Large Language Model Agents Simulate Human Trust Behaviors? CoRR (2024)
Shashwat Goel, Ameya Prabhu, Philip H. S. Torr, Ponnurangam Kumaraguru, Amartya Sanyal
Corrective Machine Unlearning. CoRR (2024)
Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H. S. Torr, Lewis Hammond, Christian Schröder de Witt
Secret Collusion Among Generative AI Agents. CoRR (2024)
Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip H. S. Torr, Victor Adrian Prisacariu
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing. CoRR (2024)
Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. CoRR (2024)
Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H. S. Torr, Ozan Sener, Puneet K. Dokania
RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning. CoRR (2024)
Ameya Prabhu, Vishaal Udandarao, Philip H. S. Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress. CoRR (2024)
Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. CoRR (2024)
Yudong Luo, Yangchen Pan, Han Wang, Philip H. S. Torr, Pascal Poupart
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization. CoRR (2024)
Qilang Ye, Zitong Yu, Rui Shao, Xinyu Xie, Philip H. S. Torr, Xiaochun Cao
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios. CoRR (2024)
Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models. CoRR (2024)
Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H. S. Torr, Adel Bibi
Universal In-Context Approximation By Prompting Fully Recurrent Models. CoRR (2024)
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR (2024)
Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip H. S. Torr, Adel Bibi, Mohamed Elhoseiny
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. CoRR (2024)
Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? CoRR (2024)
Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR (2024)
Fengyuan Liu, Haochen Luo, Yiming Li, Philip H. S. Torr, Jindong Gu
Model-agnostic Origin Attribution of Generated Images with Few-shot Examples. CoRR (2024)
Aleksandar Petrov, Philip H. S. Torr, Adel Bibi
Prompting a Pretrained Transformer Can Be a Universal Approximator. CoRR (2024)
Yixuan Wu, Yizhou Wang, Shixiang Tang, Wenhao Wu, Tong He, Wanli Ouyang, Jian Wu, Philip H. S. Torr
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM. CoRR (2024)
Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip H. S. Torr, Ashkan Khakzar
Learning Visual Prompts for Guiding the Attention of Vision Transformers. CoRR (2024)
Chenyi Jiang, Yuming Shen, Dubing Chen, Haofeng Zhang, Ling Shao, Philip H. S. Torr
Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning. Int. J. Comput. Vis. 132 (8) (2024)
Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr
Revealing Decurve Flows for Generalized Graph Propagation. CoRR (2024)
Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
On Pretraining Data Diversity for Self-Supervised Learning. CoRR (2024)
Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip H. S. Torr, Volker Tresp, Jindong Gu
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR (2024)
Francesca Babiloni, Ioannis Marras, Jiankang Deng, Filippos Kokkinos, Matteo Maggioni, Grigorios Chrysos, Philip H. S. Torr, Stefanos Zafeiriou
Linear Complexity Self-Attention With $3{\mathrm{rd}}$3 rd Order Polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
Computationally Budgeted Continual Learning: What Does Matter? CoRR (2023)
Jia-Wang Bian, Wenjing Bian, Victor Adrian Prisacariu, Philip H. S. Torr
PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction. CoRR (2023)
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR (2023)
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? CoRR (2023)
Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh
Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Shuyang Sun, Runjia Li, Philip H. S. Torr, Xiuye Gu, Siyang Li
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor. CoRR (2023)
Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, Philip H. S. Torr, M. Pawan Kumar
Provably Correct Physics-Informed Neural Networks. CoRR (2023)
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia
Open World Entity Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
Computationally Budgeted Continual Learning: What Does Matter? CVPR (2023)
Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez
Reliability in Semantic Segmentation: Are We on the Right Track? CoRR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation. CoRR (2023)
Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. CoRR (2023)
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem
Real-Time Evaluation in Online Continual Learning: A New Hope. CVPR (2023)
Aleksandar Petrov, Philip H. S. Torr, Adel Bibi
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. CoRR (2023)
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr
Dynamic Graph Message Passing Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. CVPR Workshops (2023)
Ondrej Bohdal, Timothy M. Hospedales, Philip H. S. Torr, Fazl Barez
Fairness in AI and Its Long-Term Implications on Society. CoRR (2023)
Kejie Li, Jia-Wang Bian, Robert Castle, Philip H. S. Torr, Victor Adrian Prisacariu
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices. CoRR (2023)
Runjia Li, Shuyang Sun, Mohamed Elhoseiny, Philip H. S. Torr
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? CoRR (2023)
Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip H. S. Torr, Bo Zhao
Real-Fake: Effective Training Data Synthesis Through Distribution Matching. CoRR (2023)
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CVPR (2023)
Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, Song Bai
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes. ICCV (2023)
Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr
Deconstructed Generation-Based Zero-Shot Model. AAAI (2023)
Wenqian Yu, Jindong Gu, Zhijiang Li, Philip H. S. Torr
Reliable Evaluation of Adversarial Transferability. CoRR (2023)
Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann
Managing AI Risks in an Era of Rapid Progress. CoRR (2023)
Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi
Is Synthetic Data from Generative Models Ready for Image Recognition? ICLR (2023)
Jindong Gu, Ahmad Beirami, Xuezhi Wang, Alex Beutel, Philip H. S. Torr, Yao Qin
Towards Robust Prompts on Vision-Language Models. CoRR (2023)
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip H. S. Torr, Guoying Zhao
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer. CoRR (2023)
A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr
TIPI: Test Time Adaptation with Transformation Invariance. CVPR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR (2023)
Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi
Label Delay in Continual Learning. CoRR (2023)
Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu
Understanding and Improving In-Context Learning on Vision-language Models. CoRR (2023)
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131 (5) (2023)
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. NeurIPS (2023)
Shuyang Sun, Xiaoyu Yue, Hengshuang Zhao, Philip H. S. Torr, Song Bai
Patch-Based Separable Transformer for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Shuyang Sun, Weijun Wang, Andrew G. Howard, Qihang Yu, Philip H. S. Torr, Liang-Chieh Chen
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. NeurIPS (2023)
Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez
Reliability in Semantic Segmentation: Are we on the Right Track? CVPR (2023)
Hao Tang, Philip H. S. Torr, Nicu Sebe
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem
Real-Time Evaluation in Online Continual Learning: A New Paradigm. CoRR (2023)
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV (2023)
Tom A. Lamb, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Philip H. S. Torr, Francisco Eiras
Faithful Knowledge Distillation. CoRR (2023)
Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal
How robust is unsupervised representation learning to distribution shift? ICLR (2023)
Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. Int. J. Comput. Vis. 131 (3) (2023)
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal
Deep Deterministic Uncertainty: A New Simple Baseline. CVPR (2023)
Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. CoRR (2023)
Shuyang Sun, Weijun Wang, Qihang Yu, Andrew G. Howard, Philip H. S. Torr, Liang-Chieh Chen
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. CoRR (2023)
Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi
Language Model Tokenizers Introduce Unfairness Between Languages. CoRR (2023)
Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, Song Bai
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes. CoRR (2023)
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. CoRR (2023)
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip H. S. Torr, Guoying Zhao
PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer. Int. J. Comput. Vis. 131 (6) (2023)
Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. BMVC (2023)
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR (2023)
Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener
Online Continual Learning Without the Storage Constraint. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Philip H. S. Torr