Philip H. S. Torr

Affiliations:
  • University of Oxford


According to our database1, Philip H. S. Torr authored at least 434 papers between 1991 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Occluded Video Instance Segmentation: A Benchmark.
Int. J. Comput. Vis., 2022

Dynamic Graph Message Passing Networks for Visual Recognition.
CoRR, 2022

Memory-Driven Text-to-Image Generation.
CoRR, 2022

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness.
CoRR, 2022

An Impartial Take to the CNN vs Transformer Robustness Contest.
CoRR, 2022

Illusionary Attacks on Sequential Decision Makers and Countermeasures.
CoRR, 2022

Universal Adaptive Data Augmentation.
CoRR, 2022

Sample-dependent Adaptive Temperature Scaling for Improved Calibration.
CoRR, 2022

SiamMask: A Framework for Fast Online Object Tracking and Segmentation.
CoRR, 2022

RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness.
CoRR, 2022

How robust are pre-trained models to distribution shift?
CoRR, 2022

Catastrophic overfitting is a bug but also a feature.
CoRR, 2022

Towards the Semantic Weak Generalization Problem in Generative Zero-Shot Learning: Ante-hoc and Post-hoc.
CoRR, 2022

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation.
CoRR, 2022

BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion.
CoRR, 2022

Task-Agnostic Robust Representation Learning.
CoRR, 2022

Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting.
CoRR, 2022

Local and Global GANs with Semantic-Aware Upsampling for Image Generation.
CoRR, 2022

Gradients without Backpropagation.
CoRR, 2022

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training.
CoRR, 2022

On the Robustness of Quality Measures for GANs.
CoRR, 2022

Deeply Explain CNN via Hierarchical Decomposition.
CoRR, 2022

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning to Hash Naturally Sorts.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Zero-Shot Logit Adjustment.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Communicating via Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2022

Adversarial Masking for Self-Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2022

Gradient Matching for Domain Generalization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

KL Guided Domain Adaptation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Multimodal VAEs through Mutual Supervision.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Amortized Rejection Sampling in Universal Probabilistic Programming.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Combating Adversaries with Anti-adversaries.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DeformRS: Certifying Input Deformations with Randomized Smoothing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hypergraph convolution and hypergraph attention.
Pattern Recognit., 2021

Learning Regional Attraction for Line Segment Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Res2Net: A New Multi-Scale Backbone Architecture.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Adversarial Metric Attack and Defense for Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep learning for predicting COVID-19 malignant progression.
Medical Image Anal., 2021

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.
Int. J. Comput. Vis., 2021

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.
CoRR, 2021

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation.
CoRR, 2021

Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS.
CoRR, 2021

PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer.
CoRR, 2021

Adversarial Examples on Segmentation Models Can be Easy to Transfer.
CoRR, 2021

TransMix: Attend to Mix for Vision Transformers.
CoRR, 2021

AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family.
CoRR, 2021

Deep Deterministic Uncertainty for Semantic Segmentation.
CoRR, 2021

Detecting and Quantifying Malicious Activity with Simulation-based Inference.
CoRR, 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.
CoRR, 2021

Multilevel Knowledge Transfer for Cross-Domain Object Detection.
CoRR, 2021

Open-World Entity Segmentation.
CoRR, 2021

Implicit Communication as Minimum Entropy Coupling.
CoRR, 2021

Visual Parser: Representing Part-whole Hierarchies with Transformers.
CoRR, 2021

ANCER: Anisotropic Certification via Sample-wise Volume Maximization.
CoRR, 2021

Large-scale Unsupervised Semantic Segmentation.
CoRR, 2021

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning.
CoRR, 2021

Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition.
CoRR, 2021

Cloth Interactive Transformer for Virtual Try-On.
CoRR, 2021

Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty.
CoRR, 2021

Shape-Tailored Deep Neural Networks.
CoRR, 2021

Occluded Video Instance Segmentation.
CoRR, 2021

Scaling the Convex Barrier with Sparse Dual Algorithms.
CoRR, 2021

Looking Beyond Single Images for Contrastive Semantic Segmentation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Do Different Tracking Tasks Require Different Appearance Models?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Continuous Mapping For Augmentation Design.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

You Never Cluster Alone.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

FACMAC: Factored Multi-Agent Centralised Policy Gradients.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Overcoming the Convex Barrier for Simplex Inputs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

How Benign is Benign Overfitting ?
Proceedings of the 9th International Conference on Learning Representations, 2021

Scaling the Convex Barrier with Active Sets.
Proceedings of the 9th International Conference on Learning Representations, 2021

Understanding the effects of data parallelism and sparsity on neural network training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Capturing Label Characteristics in VAEs.
Proceedings of the 9th International Conference on Learning Representations, 2021

Progressive Skeletonization: Trimming more fat from a network at initialization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Point Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Vision Transformer with Progressive Sampling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Solving Inefficiency of Self-supervised Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Aggregation with Feature Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Scalable FPGA Median Filtering via a Directional Median Cascade.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Shot Temporal Event Localization: A Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Mirror Descent View for Neural Network Quantization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Using Hindsight to Anchor Past Knowledge in Continual Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ROAM: A Rich Object Appearance Model with Application to Rotoscoping.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

On the Robustness of Semantic Segmentation Models to Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Branch and Bound for Piecewise Linear Neural Network Verification.
J. Mach. Learn. Res., 2020

DGPose: Deep Generative Models for Human Body Analysis.
Int. J. Comput. Vis., 2020

On Batch Normalisation for Approximate Bayesian Inference.
CoRR, 2020

Data Dependent Randomized Smoothing.
CoRR, 2020

Learning to Sample the Most Useful Training Patches from Images.
CoRR, 2020

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
CoRR, 2020

Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation.
CoRR, 2020

Diagnosing and Preventing Instabilities in Recurrent Video Processing.
CoRR, 2020

WordCraft: An Environment for Benchmarking Commonsense Agents.
CoRR, 2020

STEER : Simple Temporal Regularization For Neural ODEs.
CoRR, 2020

Rethinking Semi-Supervised Learning in VAEs.
CoRR, 2020

Simulation-Based Inference for Global Health Decisions.
CoRR, 2020

A Revised Generative Evaluation of Visual Dialogue.
CoRR, 2020

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis.
CoRR, 2020

Data Parallelism in Training Sparse Neural Networks.
CoRR, 2020

Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control.
CoRR, 2020

Image-to-Image Translation with Text Guidance.
CoRR, 2020

Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation.
CoRR, 2020

Global Texture Enhancement for Fake Face Detection in the Wild.
CoRR, 2020

Rethinking Class Relations: Absolute-relative Few-shot Learning.
CoRR, 2020

Few-shot Action Recognition via Improved Attention with Self-supervision.
CoRR, 2020

Few-shot Learning with Multi-scale Self-supervision.
CoRR, 2020

Devon: Deformable Volume Network for Learning Optical Flow.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Lagrangian Decomposition for Neural Network Verification.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Calibrating Deep Neural Networks using Focal Loss.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

STEER : Simple Temporal Regularization For Neural ODE.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continual Learning in Low-rank Orthogonal Subspaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta-Learning Deep Visual Words for Fast Video Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Instance Segmentation of LiDAR Point Clouds.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

SECI-GAN: Semantic and Edge Completion for dynamic objects removal.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Stable Rank Normalization for Improved Generalization in Neural Networks and GANs.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Signal Propagation Perspective for Pruning Neural Networks at Initialization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Scalable FPGA Median Filtering using Multiple Efficient Passes.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Few-Shot Action Recognition with Permutation-Invariant Attention.
Proceedings of the Computer Vision - ECCV 2020, 2020

Domain-Invariant Stereo Matching Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep FusionNet for Point Cloud Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

XingGAN for Person Image Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

GDumb: A Simple Approach that Questions Our Progress in Continual Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

AutoSimulate: (Quickly) Learning Synthetic Data Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Graph Message Passing Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Holistically-Attracted Wireframe Parsing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Siam R-CNN: Visual Tracking by Re-Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Global Texture Enhancement for Fake Face Detection in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unifying Training and Inference for Panoptic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ManiGAN: Text-Guided Image Manipulation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cross-Modal Deep Face Normals With Deactivable Skip Connections.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bipartite Graph Reasoning GANs for Person Image Generation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Real-Time Highly Accurate Dense Depth on a Power Budget Using an FPGA-CPU Hybrid SoC.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials.
SIAM J. Imaging Sci., 2019

Deeply Supervised Salient Object Detection with Short Connections.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

BING: Binarized normed gradients for objectness estimation at 300fps.
Comput. Vis. Media, 2019

Lessons from reinforcement learning for biological representations of space.
CoRR, 2019

Transflow Learning: Repurposing Flow Models Without Retraining.
CoRR, 2019

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks.
CoRR, 2019

Hijacking Malaria Simulators with Probabilistic Programming.
CoRR, 2019

Straight to Shapes++: Real-time Instance Segmentation Made More Accurate.
CoRR, 2019

Alpha MAML: Adaptive Model-Agnostic Meta-Learning.
CoRR, 2019

Continual Learning with Tiny Episodic Memories.
CoRR, 2019

Domain Partitioning Network.
CoRR, 2019

Adversarial Metric Attack for Person Re-identification.
CoRR, 2019

A Conditional Deep Generative Model of People in Natural Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Etalumis: bringing probabilistic programming to scientific simulators at scale.
Proceedings of the International Conference for High Performance Computing, 2019

Multi-Agent Common Knowledge Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Controllable Text-to-Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Snip: single-Shot Network Pruning based on Connection sensitivity.
Proceedings of the 7th International Conference on Learning Representations, 2019

Meta-learning with differentiable closed-form solvers.
Proceedings of the 7th International Conference on Learning Representations, 2019

An Empirical Study of Detection-Based Video Instance Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Anchor Diffusion for Unsupervised Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Proximal Mean-Field for Neural Network Quantization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GA-Net: Guided Aggregation Net for End-To-End Stereo Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Fast Online Object Tracking and Segmentation: A Unifying Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Adapt for Stereo.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

3D Hand Shape and Pose From Images in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dual Graph Convolutional Network for Semantic Segmentation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

The StarCraft Multi-Agent Challenge.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation.
IEEE Trans. Vis. Comput. Graph., 2018

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.
IEEE Signal Process. Mag., 2018

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.
SIAM J. Imaging Sci., 2018

Real-Time Dense Stereo Matching With ELAS on FPGA-Accelerated Embedded Devices.
IEEE Robotics Autom. Lett., 2018

Sequential Optimization for Efficient High-Quality Object Proposal Generation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

CODE: Coherence Based Decision Boundaries for Feature Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learn to Interpret Atari Agents.
CoRR, 2018

Visual Dialogue without Vision or Dialogue.
CoRR, 2018

Meta Learning Deep Visual Words for Fast Video Object Segmentation.
CoRR, 2018

Deeper Interpretability of Deep Networks.
CoRR, 2018

R$^3$SGM: Real-time Raster-Respecting Semi-Global Matching for Power-Constrained Systems.
CoRR, 2018

Low Rank Structure of Learned Representations.
CoRR, 2018

DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis.
CoRR, 2018

Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction.
CoRR, 2018

WebSeg: Learning Semantic Segmentation from Web Searches.
CoRR, 2018

With Friends Like These, Who Needs Adversaries?
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Unified View of Piecewise Linear Neural Network Verification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Live Collaborative Large-Scale Dense 3D Reconstruction Using Consumer-Grade Hardware.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018

Learn to Pay Attention.
Proceedings of the 6th International Conference on Learning Representations, 2018

R3SGM: Real-Time Raster-Respecting Semi-Global Matching for Power-Constrained Systems.
Proceedings of the International Conference on Field-Programmable Technology, 2018

Long-Term Tracking in the Wild: A Benchmark.
Proceedings of the Computer Vision - ECCV 2018, 2018

Weakly- and Semi-supervised Panoptic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Semi-supervised Deep Generative Model for Human Body Analysis.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning to Compare: Relation Network for Few-Shot Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

FlipDial: A Generative Model for Two-Way Visual Dialogue.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Agent Diverse Generative Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Incremental Tube Construction for Human Action Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

Deep Fully-Connected Part-Based Models for Human Pose Estimation.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Efficient minimization of higher order submodular functions using monotonic Boolean functions.
Discret. Appl. Math., 2017

Piecewise Linear Neural Network verification: A comparative study.
CoRR, 2017

InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure.
CoRR, 2017

Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos.
CoRR, 2017

Learning Arbitrary Potentials in CRFs with Gradient Descent.
CoRR, 2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.
CoRR, 2017

Learning Disentangled Representations with Semi-Supervised Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Random forests versus Neural Networks - What's best for camera localization?
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to superoptimize programs.
Proceedings of the 5th International Conference on Learning Representations, 2017

The Visual Object Tracking VOT2017 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

End-to-End Representation Learning for Correlation Filter Based Tracking.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

ROAM: A Rich Object Appearance Model with Application to Rotoscoping.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Straight to Shapes: Real-Time Detection of Encoded Shapes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Pixelwise Instance Segmentation with a Dynamically Instantiated Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Linear Programming for Dense CRFs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Holistic, Instance-level Human Parsing.
Proceedings of the British Machine Vision Conference 2017, 2017

Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017

Probabilistic Object Reconstruction with Online Global Model Correction.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Object Proposal Generation Using Two-Stage Cascade SVMs.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Struck: Structured Output Tracking with Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference.
Int. J. Comput. Vis., 2016

Inducing Interpretable Representations with Variational Autoencoders.
CoRR, 2016

Random Forests versus Neural Networks - What's Best for Camera Relocalization?
CoRR, 2016

Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels.
CoRR, 2016

Learning to superoptimize programs - Workshop Version.
CoRR, 2016

Playing Doom with SLAM-Augmented Deep Reinforcement Learning.
CoRR, 2016

Adaptive Neural Compilation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning feed-forward one-shot learners.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Recurrent Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation.
Proceedings of the Computer Vision - ECCV 2016, 2016

The Visual Object Tracking VOT2016 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


Efficient Continuous Relaxations for Dense CRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

HFS: Hierarchical Feature Selection for Efficient Image Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Fully-Convolutional Siamese Networks for Object Tracking.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Higher Order Conditional Random Fields in Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Staple: Complementary Learners for Real-Time Tracking.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Heterogeneous wireless system testbed for remote image processing in automated vehicles.
Proceedings of the 10th International Symposium on Communication Systems, 2016

Fully-trainable deep matching.
Proceedings of the British Machine Vision Conference 2016, 2016

Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos.
Proceedings of the British Machine Vision Conference 2016, 2016

Bottom-up Instance Segmentation using Deep Higher-Order CRFs.
Proceedings of the British Machine Vision Conference 2016, 2016

Joint Training of Generic CNN-CRF Models with Stochastic Optimization.
Proceedings of the Computer Vision - ACCV 2016, 2016

Learning to Navigate the Energy Landscape.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Very High Frame Rate Volumetric Integration of Depth Images on Mobile Devices.
IEEE Trans. Vis. Comput. Graph., 2015

SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips.
ACM Trans. Graph., 2015

Global Contrast Based Salient Region Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation.
CoRR, 2015

SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes.
CoRR, 2015

Higher Order Potentials in End-to-End Trainable Conditional Random Fields.
CoRR, 2015

DenseCut: Densely Connected CRFs for Realtime GrabCut.
Comput. Graph. Forum, 2015

SemanticPaint: interactive segmentation and learning of 3D world.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

SemanticPaint: interactive segmentation and learning of 3D worlds.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Incremental dense multi-modal 3D scene reconstruction.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

An embarrassingly simple approach to zero-shot learning.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Conditional Random Fields as Recurrent Neural Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Exploiting uncertainty in regression forests for accurate camera relocalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Target Identity-aware Network Flow for online multiple target tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

Prototypical Priors: From Improving Classification to Zero-Shot Learning.
Proceedings of the British Machine Vision Conference 2015, 2015

Joint Object-Material Category Segmentation from Audio-Visual Cues.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
ImageSpirit: Verbal Guided Image Parsing.
ACM Trans. Graph., 2014

Associative Hierarchical Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces.
Int. J. Comput. Vis., 2014

Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos.
Int. J. Comput. Vis., 2014

Exploiting projective geometry for view-invariant monocular human motion analysis in man-made environments.
Comput. Vis. Image Underst., 2014

A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies.
CoRR, 2014

Feature sampling and partitioning for visual vocabulary generation on large action classification datasets.
CoRR, 2014

A Framework for the Volumetric Integration of Depth Images.
CoRR, 2014

Bilateral Functions for Global Motion Modeling.
Proceedings of the Computer Vision - ECCV 2014, 2014


Dense Semantic Image Segmentation with Objects and Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

BING: Binarized Normed Gradients for Objectness Estimation at 300fps.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Distributed Non-convex ADMM-based inference in large-scale random fields.
Proceedings of the British Machine Vision Conference, 2014

2013
Inference Methods for CRFs with Co-occurrence Statistics.
Int. J. Comput. Vis., 2013

ImageSpirit: Verbal Guided Image Parsing.
CoRR, 2013

Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Urban 3D semantic modelling using stereo vision.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Mesh Based Semantic Modelling for Indoor and Outdoor Scenes.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors.
Int. J. Comput. Vis., 2012

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction.
Int. J. Comput. Vis., 2012

Automatic dense visual semantic mapping from street-level imagery.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking.
Proceedings of the Computer Vision - ECCV 2012, 2012

Efficient discriminative learning of parametric nearest neighbor classifiers.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A tiered move-making algorithm for general pairwise MRFs.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Efficient online structured output learning for keypoint-based object tracking.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference.
Proceedings of the British Machine Vision Conference, 2012

Scalable Cascade Inference for Semantic Image Segmentation.
Proceedings of the British Machine Vision Conference, 2012

Learning discriminative space-time actions from weakly labelled videos.
Proceedings of the British Machine Vision Conference, 2012

Latent SVMs for Human Detection with a Locally Affine Deformation Field.
Proceedings of the British Machine Vision Conference, 2012

A Robust Stereo Prior for Human Segmentation.
Proceedings of the Computer Vision, 2012

2011
Improved Moves for Truncated Convex Models.
J. Mach. Learn. Res., 2011

Learning Anchor Planes for Classification.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Locally Linear Support Vector Machines.
Proceedings of the 28th International Conference on Machine Learning, 2011

Struck: Structured output tracking with kernels.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Multiple-Instance Learning with Structured Bag Models.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Proposal generation for object detection using cascaded ranking SVMs.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

The light-path less traveled.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Human Instance Segmentation from Video using Detector-based Conditional Random Fields.
Proceedings of the British Machine Vision Conference, 2011

Hand detection using multiple proposals.
Proceedings of the British Machine Vision Conference, 2011

2010
Dynamic Graph Cuts and Their Applications in Computer Vision.
Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts.
Proceedings of the UAI 2010, 2010

What, Where and How Many? Combining Object Detectors and CRFs.
Proceedings of the Computer Vision, 2010

Graph Cut Based Inference with Co-occurrence Statistics.
Proceedings of the Computer Vision - ECCV 2010, 2010

Discrete minimum ratio curves and surfaces.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Efficient piecewise learning for conditional random fields.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers.
Proceedings of the British Machine Vision Conference, 2010

Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction.
Proceedings of the British Machine Vision Conference, 2010

2009
Global Stereo Reconstruction under Second-Order Smoothness Priors.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs.
J. Mach. Learn. Res., 2009

Robust Higher Order Potentials for Enforcing Label Consistency.
Int. J. Comput. Vis., 2009

Associative hierarchical CRFs for object class image segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Efficient discriminative learning of parts-based models.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Combining Appearance and Structure from Motion Features for Road Scene Understanding.
Proceedings of the British Machine Vision Conference, 2009

2008
Pose estimation and tracking using multivariate regression.
Pattern Recognit. Lett., 2008

Reconstructing relief surfaces.
Image Vis. Comput., 2008

Learning Layered Motion Segmentations of Video.
Int. J. Comput. Vis., 2008

Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts.
Int. J. Comput. Vis., 2008

Measuring uncertainty in graph cut solutions.
Comput. Vis. Image Underst., 2008

Improved Moves for Truncated Convex Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Ambiguity Modeling in Latent Spaces.
Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008

Efficiently solving convex relaxations for MAP estimation.
Proceedings of the Machine Learning, 2008

On partial optimality in multi-label MRFs.
Proceedings of the Machine Learning, 2008

Body Language Based Individual Identification in Video Using Gait and Actions.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

Randomized trees for human pose detection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Exact inference in multi-label CRFs with higher order cliques.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Reduce, reuse & recycle: Efficiently solving multi-label MRFs.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

From Visual Query to Visual Portrayal.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
VideoTrace: rapid interactive scene modelling from video.
ACM Trans. Graph., 2007

Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Dynamic Graph Cuts for Efficient Inference in Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Estimating 3D hand pose using hierarchical multi-label classification.
Image Vis. Comput., 2007

Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming.
Int. J. Comput. Vis., 2007

An Analysis of Convex Relaxations for MAP Estimation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Gaussian Process Latent Variable Models for Human Pose Estimation.
Proceedings of the Machine Learning for Multimodal Interaction , 2007

Using the P<sup>n</sup> Potts model with learning methods to segment live cell images.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

An Invariant Large Margin Nearest Neighbour Classifier.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A shape hierarchy for 3D modelling from video.
Proceedings of the 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2007, 2007

Interactive 3D Model Completion.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

P3 & Beyond: Solving Energies with Higher Order Cliques.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

On New View Synthesis Using Multiview Stereo.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Using Strong Shape Priors for Stereo.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

OBJCUT for Face Detection.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Learning Class-Specific Edges for Object Detection and Segmentation.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Rapid Interactive Modelling from Video with Graph Cuts.
Proceedings of the 27th Annual Conference of the European Association for Computer Graphics, 2006

Multivariate Relevance Vector Machines for Tracking.
Proceedings of the Computer Vision, 2006

Fast Memory-Efficient Generalized Belief Propagation.
Proceedings of the Computer Vision, 2006

Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts.
Proceedings of the Computer Vision, 2006

PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts.
Proceedings of the Computer Vision, 2006

Solving Markov Random Fields using Second Order Cone Programming Relaxations.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

An Object Category Specific mrffor Segmentation.
Proceedings of the Toward Category-Level Object Recognition, 2006

Fields of Experts for Image-based Rendering.
Proceedings of the British Machine Vision Conference 2006, 2006

Regression-Based Human Motion Capture From Voxel Data.
Proceedings of the British Machine Vision Conference 2006, 2006

Building Models of Regular Scenes from Structure and Motion.
Proceedings of the British Machine Vision Conference 2006, 2006

Hierarchical Model Fitting to 2D and 3D Data.
Proceedings of the Third International Conference on Computer Graphics, 2006

2005
Learning Layered Motion Segmentation of Video.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Effciently Solving Dynamic Markov Random Fields Using Graph Cuts.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Multi-View Stereo via Volumetric Graph-Cuts.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

OBJ CUT.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Hierarchical Part-Based Human Body Pose Estimation.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Invariant Fitting of Two View Geometry.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Dense stereo using pivoted dynamic programming.
Image Vis. Comput., 2004

Modelling and Interpretation of Architecture from Several Images.
Int. J. Comput. Vis., 2004

Learning Layered Pictorial Structures from Video.
Proceedings of the ICVGIP 2004, 2004

Hand Pose Estimation Using Hierarchical Detection.
Proceedings of the Computer Vision in Human-Computer Interaction, 2004

Interactive Image Segmentation Using an Adaptive GMMRF Model.
Proceedings of the Computer Vision, 2004

Likelihood Models For Template Matching using the PDF Projection Theorem.
Proceedings of the British Machine Vision Conference, 2004

Extending Pictorial Structures for Object Recognition.
Proceedings of the British Machine Vision Conference, 2004

2003
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Filtering Using a Tree-Based Estimator.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Gaze Manipulation for One-to-one Teleconferencing.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Shape Context and Chamfer Matching in Cluttered Scenes.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Bayesian Stochastic Mesh Optimization for 3D reconstruction.
Proceedings of the British Machine Vision Conference, 2003

Learning a Kinematic Prior for Tree-Based Filtering.
Proceedings of the British Machine Vision Conference, 2003

Solving Markov Random Fields using Semi Definite Programming.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Template-Based Hand Detection and Tracking.
Proceedings of the Advanced Studies in Biometrics, Summer School on Biometrics, 2003

2002
Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting.
Int. J. Comput. Vis., 2002

A Bayesian Estimation of Building Shape Using MCMC.
Proceedings of the Computer Vision, 2002

Dense Stereo Using Pivoted Dynamic.
Proceedings of the British Machine Vision Conference 2002, 2002

NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag.
Proceedings of the British Machine Vision Conference 2002, 2002

2001
An Integrated Bayesian Approach to Layer Extraction from Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Computationally Efficient Face Detection.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Combining Single View Recognition and Multiple View Stereo for Architectural Scenes.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
MLESAC: A New Robust Estimator with Application to Estimating Image Geometry.
Comput. Vis. Image Underst., 2000

Layer Extraction with a Bayesian Model of Shapes.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

A Six Point Solution for Structure and Motion.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

Automatic 3D Modelling of Architecture.
Proceedings of the British Machine Vision Conference 2000, 2000

1999
The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences.
Int. J. Comput. Vis., 1999

Model Selection for Two View Geometry: A Review.
Proceedings of the Shape, Contour and Grouping in Computer Vision, 1999

Feature Based Methods for Structure and Motion Estimation.
Proceedings of the Vision Algorithms: Theory and Practice, 1999

1998
Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix.
Comput. Vis. Image Underst., 1998

Geometrically Constrained Structure from Motion: Points on Planes.
Proceedings of the 3D Structure from Multiple Images of Large-Scale Environments, 1998

Robust Computation and Parametrization of Multiple View Relations.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor.
Proceedings of the Computer Vision, 1998

1997
Performance characterization of fundamental matrix estimation under image degradation.
Mach. Vis. Appl., 1997

Robust parameterization and computation of the trifocal tensor.
Image Vis. Comput., 1997

The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix.
Int. J. Comput. Vis., 1997

An Assessment of Information Criteria for Motion Model Selection.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
3D Model Acquisition from Extended Image Sequences.
Proceedings of the Computer Vision, 1996

1995
Robust Detection of Degenerate Configurations for the Fundamental Matrix.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

1994
Stochastic Motion Clustering.
Proceedings of the Computer Vision, 1994

Robust Vision.
Proceedings of the British Machine Vision Conference, 1994

1993
Statistical detection of independent movement from a moving camera.
Image Vis. Comput., 1993

1991
Cooperating Motion Processes.
Proceedings of the British Machine Vision Conference, 1991


  Loading...