Philip H.S. Torr
71 papers · 2009–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Academic Marathon (16)
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Academic Marathon
(16)
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Cross-Pollinator
(12)
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Renaissance Researcher
(9)
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Conference Loyalist
(36)
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Topic Evolution
π€
Dynamic Duo
(11)
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Deep Specialist
(13)
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Keyword Champion
(2)
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Conference Pioneer
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Trend Setter
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Century Club
(71)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(353)
β
The Questioner
(5)
β‘
Prolific Year
(12)
Conferences
CVPR (36)
NIPS (9)
ICCV (8)
AAAI (6)
JMLR (5)
ECCV (4)
IJCAI (2)
WACV (1)
Top co-authors
Keywords
semantic segmentation
(10)
zero-shot learning
(5)
continual learning
(5)
3d reconstruction
(5)
generative adversarial network
(4)
image classification
(4)
depth estimation
(4)
convolutional neural network
(4)
object detection
(4)
contrastive learning
(4)
self-supervised learning
(4)
vision-language model
(3)
representation learning
(3)
video object segmentation
(3)
domain adaptation
(3)
image generation
(3)
adversarial attack
(3)
vision transformer
(3)
instance segmentation
(3)
large language model
(3)
Papers
Vision-Language Models Do Not Understand Negation
CVPR 2025
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
AAAI 2024
Scaling the Convex Barrier with Sparse Dual Algorithms
JMLR 2024
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
NIPS 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
NIPS 2024
Set-based Neural Network Encoding Without Weight Tying
NIPS 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NIPS 2024
Label Delay in Online Continual Learning
NIPS 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
NIPS 2024
Label Alignment Regularization for Distribution Shift
JMLR 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NIPS 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models
NIPS 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
NIPS 2024
RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing
WACV 2023
Deconstructed Generation-Based Zero-Shot Model
AAAI 2023
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
AAAI 2023
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration
AAAI 2023
Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning
CVPR 2023
TIPI: Test Time Adaptation With Transformation Invariance
CVPR 2023
Real-Time Evaluation in Online Continual Learning: A New Hope
CVPR 2023
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
CVPR 2023
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Reliability in Semantic Segmentation: Are We on the Right Track?
CVPR 2023
Computationally Budgeted Continual Learning: What Does Matter?
CVPR 2023
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
ICCV 2023
Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer
ICCV 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
ICCV 2023
Combating Adversaries with Anti-adversaries
AAAI 2022
Zero-Shot Logit Adjustment
IJCAI 2022
Learning to Hash Naturally Sorts
IJCAI 2022
BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion
CVPR 2022
Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning
CVPR 2022
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
CVPR 2022
TransMix: Attend To Mix for Vision Transformers
CVPR 2022
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset
CVPR 2022
DeformRS: Certifying Input Deformations with Randomized Smoothing
AAAI 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
CVPR 2022
PhysFormer: Facial Video-Based Physiological Measurement With Temporal Difference Transformer
CVPR 2022
Vision Transformer With Progressive Sampling
ICCV 2021
Point Transformer
ICCV 2021
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers
CVPR 2021
Solving Inefficiency of Self-Supervised Representation Learning
ICCV 2021
Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation
ICCV 2021
Aggregation With Feature Detection
ICCV 2021
Siam R-CNN: Visual Tracking by Re-Detection
CVPR 2020
Dynamic Graph Message Passing Networks
CVPR 2020
Cross-Modal Deep Face Normals With Deactivable Skip Connections
CVPR 2020
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
CVPR 2020
Global Texture Enhancement for Fake Face Detection in the Wild
CVPR 2020
Holistically-Attracted Wireframe Parsing
CVPR 2020
ManiGAN: Text-Guided Image Manipulation
CVPR 2020
Unifying Training and Inference for Panoptic Segmentation
CVPR 2020
Branch and Bound for Piecewise Linear Neural Network Verification
JMLR 2020
AutoSimulate: (Quickly) Learning Synthetic Data Generation
ECCV 2020
XingGAN for Person Image Generation
ECCV 2020
3D Hand Shape and Pose From Images in the Wild
CVPR 2019
Learning to Adapt for Stereo
CVPR 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
CVPR 2019
Fast Online Object Tracking and Segmentation: A Unifying Approach
CVPR 2019
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
CVPR 2019
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification
CVPR 2019
FlipDial: A Generative Model for Two-Way Visual Dialogue
CVPR 2018
Long-term Tracking in the Wild: a Benchmark
ECCV 2018
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
CVPR 2018
Learning to Compare: Relation Network for Few-Shot Learning
CVPR 2018
Weakly- and Semi-Supervised Panoptic Segmentation
ECCV 2018
Multi-Agent Diverse Generative Adversarial Networks
CVPR 2018
Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation
CVPR 2013
Mesh Based Semantic Modelling for Indoor and Outdoor Scenes
CVPR 2013
Improved Moves for Truncated Convex Models
JMLR 2011
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs
JMLR 2009