Philip H. S. Torr

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

Achievements

+10 more ↓

🏃 Academic Marathon (8) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (5)

🌍 Conference Polyglot (6) 🏃 Academic Marathon (8) 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🗃️ Keyword Collector (110) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (31) 🔥 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