← Authors

Philip H. S. Torr

31 papers · 2014–2022 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (43) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (110) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (10)

Conferences

CVPR (14) ECCV (7) ICCV (5) ICLR (3) ICML (1) UAI (1)

Top co-authors

Puneet K. Dokania (5) Thalaiyasingam Ajanthan (4) Stuart Golodetz (3) Namhoon Lee (3) Song Bai (3) Luca Bertinetto (3) Hongguang Zhang (2) Nicholas A. Lord (2) Bernard Ghanem (2) Motasem Alfarra (2)

Research topics

Computer Vision (1)

Keywords

semantic segmentation (4) conditional random field (3) object detection (3) object tracking (3) unsupervised learning (2) scene understanding (2) correlation filter (2) recurrent neural network (2) representation learning (2) regression forest (2) deep learning (2) convolutional neural network (2) pose estimation (1) online learning (1) action recognition (1) image classification (1) few-shot learning (1) mean field approximation (1) certified robustness (1) multi-agent reinforcement learning (1)

Papers

Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting ECCV 2022
Data dependent randomized smoothing UAI 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness ECCV 2022
On the Robustness of Quality Measures for GANs ECCV 2022
An Impartial Take to the CNN vs Transformer Robustness Contest ECCV 2022
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021
Multi-Shot Temporal Event Localization: A Benchmark CVPR 2021
GDumb: A Simple Approach that Questions Our Progress in Continual Learning ECCV 2020
Few-shot Action Recognition with Permutation-invariant Attention ECCV 2020
A Signal Propagation Perspective for Pruning Neural Networks at Initialization ICLR 2020
Proximal Mean-Field for Neural Network Quantization ICCV 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation ICCV 2019
Value Propagation Networks ICLR 2019
Anchor Diffusion for Unsupervised Video Object Segmentation ICCV 2019
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence ECCV 2018
Learn to Pay Attention ICLR 2018
DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents CVPR 2017
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction ICCV 2017
ROAM: A Rich Object Appearance Model With Application to Rotoscoping CVPR 2017
Straight to Shapes: Real-Time Detection of Encoded Shapes CVPR 2017
Deeply Supervised Salient Object Detection With Short Connections CVPR 2017
End-To-End Representation Learning for Correlation Filter Based Tracking CVPR 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017
Pixelwise Instance Segmentation With a Dynamically Instantiated Network CVPR 2017
Efficient Linear Programming for Dense CRFs CVPR 2017
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation CVPR 2017
Staple: Complementary Learners for Real-Time Tracking CVPR 2016
Target Identity-Aware Network Flow for Online Multiple Target Tracking CVPR 2015
Conditional Random Fields as Recurrent Neural Networks ICCV 2015
Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization CVPR 2015
Dense Semantic Image Segmentation with Objects and Attributes CVPR 2014