Philip Torr

Diagnosing and Preventing Instabilities in Recurrent Video Processing

Oct 17, 2020
Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip Torr, Ales Leonardis, Gregory Slabaugh

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HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

Sep 29, 2020
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, Bastian Leibe

* Pre-print. Accepted for Publication in the International Journal of Computer Vision, 19 August 2020. Code is available at https://github.com/JonathonLuiten/HOTA-metrics

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Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection

Aug 26, 2020
Carlo Biffi, Steven McDonagh, Philip Torr, Ales Leonardis, Sarah Parisot

* Accepted at ECCV 2020. Camera-ready version and Appendices

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Simulation-Based Inference for Global Health Decisions

May 14, 2020
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin

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Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control

Mar 18, 2020
Christian Schroeder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Böhmer, Shimon Whiteson

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Using Hindsight to Anchor Past Knowledge in Continual Learning

Feb 19, 2020
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip Torr, David Lopez-Paz

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Global Texture Enhancement for Fake Face Detection in the Wild

Feb 01, 2020
Zhengzhe Liu, Xiaojuan Qi, Jiaya Jia, Philip Torr

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Domain-invariant Stereo Matching Networks

Nov 29, 2019
Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr

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Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

Jul 08, 2019
Atılım Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat, Frank Wood

* 14 pages, 8 figures

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Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation

Jun 20, 2019
Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip Torr, Stuart Golodetz

* Tommaso Cavallari and Stuart Golodetz contributed equally to this paper

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Res2Net: A New Multi-scale Backbone Architecture

Apr 02, 2019
Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr

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Long-term Tracking in the Wild: A Benchmark

Aug 10, 2018
Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves

* To appear at ECCV 2018

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Prototypical Priors: From Improving Classification to Zero-Shot Learning

Apr 25, 2018
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip Torr

* 12 Pages, 6 Figures, 2 Tables, in British Machine Vision Conference (BMVC), 2015

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Deeply supervised salient object detection with short connections

Mar 16, 2018
Qibin Hou, Ming-Ming Cheng, Xiao-Wei Hu, Ali Borji, Zhuowen Tu, Philip Torr

* Q. Hou, M. M. Cheng, X. Hu, A. Borji, Z. Tu and P. H. S. Torr, "Deeply Supervised Salient Object Detection with Short Connections," IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018
* IEEE TPAMI 2018 (IEEE CVPR 2017)

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Philip Torr

Diagnosing and Preventing Instabilities in Recurrent Video Processing

HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection

Simulation-Based Inference for Global Health Decisions

Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control

Using Hindsight to Anchor Past Knowledge in Continual Learning

Global Texture Enhancement for Fake Face Detection in the Wild

Domain-invariant Stereo Matching Networks

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation

Res2Net: A New Multi-scale Backbone Architecture

Long-term Tracking in the Wild: A Benchmark

Prototypical Priors: From Improving Classification to Zero-Shot Learning

Deeply supervised salient object detection with short connections

A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials

Online Real-time Multiple Spatiotemporal Action Localisation and Prediction

Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation

Higher Order Conditional Random Fields in Deep Neural Networks

Staple: Complementary Learners for Real-Time Tracking

Learning to Navigate the Energy Landscape

Joint Object-Material Category Segmentation from Audio-Visual Cues

Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference

ImageSpirit: Verbal Guided Image Parsing