Philip H. S. Torr
31 papers · 2014–2022 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(120)
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
Top co-authors
Research topics
Computer Vision
(16)
Machine Learning
(14)
Analysis
(13)
Deep Learning
(11)
Artificial Intelligence
(9)
Core AI
(8)
Core Methods
(7)
Processing
(7)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Techniques
(4)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Keywords
semantic segmentation
(4)
object detection
(3)
convolutional neural network
(3)
conditional random field
(3)
object tracking
(3)
unsupervised learning
(2)
image classification
(2)
recurrent neural network
(2)
correlation filter
(2)
regression forest
(2)
representation learning
(2)
deep learning
(2)
scene understanding
(2)
pose estimation
(1)
online learning
(1)
action recognition
(1)
few-shot learning
(1)
reinforcement learning
(1)
certified robustness
(1)
appearance modeling
(1)
Papers
An Impartial Take to the CNN vs Transformer Robustness Contest
ECCV 2022
Data dependent randomized smoothing
UAI 2022
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting
ECCV 2022
On the Robustness of Quality Measures for GANs
ECCV 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
ECCV 2022
Multi-Shot Temporal Event Localization: A Benchmark
CVPR 2021
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning
CVPR 2021
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
ICLR 2020
Few-shot Action Recognition with Permutation-invariant Attention
ECCV 2020
GDumb: A Simple Approach that Questions Our Progress in Continual Learning
ECCV 2020
Anchor Diffusion for Unsupervised Video Object Segmentation
ICCV 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
ICCV 2019
Proximal Mean-Field for Neural Network Quantization
ICCV 2019
Value Propagation Networks
ICLR 2019
Learn to Pay Attention
ICLR 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
ECCV 2018
Deeply Supervised Salient Object Detection With Short Connections
CVPR 2017
DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents
CVPR 2017
Efficient Linear Programming for Dense CRFs
CVPR 2017
End-To-End Representation Learning for Correlation Filter Based Tracking
CVPR 2017
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
ICCV 2017
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation
CVPR 2017
Pixelwise Instance Segmentation With a Dynamically Instantiated Network
CVPR 2017
ROAM: A Rich Object Appearance Model With Application to Rotoscoping
CVPR 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
ICML 2017
Straight to Shapes: Real-Time Detection of Encoded Shapes
CVPR 2017
Staple: Complementary Learners for Real-Time Tracking
CVPR 2016
Conditional Random Fields as Recurrent Neural Networks
ICCV 2015
Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization
CVPR 2015
Target Identity-Aware Network Flow for Online Multiple Target Tracking
CVPR 2015
Dense Semantic Image Segmentation with Objects and Attributes
CVPR 2014