conftrace_

Philip H.S. Torr

71 papers · 2009–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (18) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16)
πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) 🏠 Conference Loyalist (36) 🧬 Topic Evolution 🀝 Dynamic Duo (11) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (71) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (353) ❓ The Questioner (5) ⚑ Prolific Year (12)

Conferences

CVPR (36) NIPS (9) ICCV (8) AAAI (6) JMLR (5) ECCV (4) IJCAI (2) WACV (1)

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