| 4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation | 0 | 0.34 | 2022 |
| Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball | 0 | 0.34 | 2021 |
| W Hy Fairness Cannot Be Automated : B Ridging The Gap Between Eu Non-Discrimination Law And Ai | 1 | 0.37 | 2021 |
| Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency | 0 | 0.34 | 2019 |
| Efficient Search for Diverse Coherent Explanations. | 7 | 0.49 | 2019 |
| Explaining Explanations in AI. | 13 | 0.79 | 2019 |
| Making Decisions that Reduce Discriminatory Impacts | 0 | 0.34 | 2019 |
| Linear programming-based submodular extensions for marginal estimation. | 0 | 0.34 | 2019 |
| Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions | 0 | 0.34 | 2019 |
| Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture | 5 | 0.40 | 2018 |
| Causal Reasoning for Algorithmic Fairness. | 1 | 0.36 | 2018 |
| Optimal Submodular Extensions for Marginal Estimation. | 0 | 0.34 | 2018 |
| Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. | 2 | 0.37 | 2018 |
| Causal Interventions for Fairness. | 1 | 0.36 | 2018 |
| Counterfactual Fairness. | 0 | 0.34 | 2017 |
| When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. | 11 | 0.71 | 2017 |
| VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning | 34 | 1.23 | 2017 |
| Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. | 4 | 0.38 | 2017 |
| Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. | 28 | 1.18 | 2017 |
| Solving Jigsaw Puzzles with Linear Programming. | 2 | 0.37 | 2016 |
| Direct, Dense, and Deformable:Template-Based Non-Rigid 3D Reconstruction from RGB Video | 13 | 0.48 | 2015 |
| Part-based modelling of compound scenes from images | 7 | 0.45 | 2015 |
| Video Pop-Up: Monocular 3d Reconstruction Of Dynamic Scenes | 33 | 0.78 | 2014 |
| Semi-supervised Learning Using an Unsupervised Atlas. | 9 | 1.20 | 2014 |
| Associative Hierarchical Random Fields | 38 | 0.96 | 2014 |
| Inference Methods for CRFs with Co-occurrence Statistics | 32 | 0.89 | 2013 |
| Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection | 78 | 1.76 | 2013 |
| Learning a Manifold as an Atlas | 8 | 0.53 | 2013 |
| Dense multibody motion estimation and reconstruction from a handheld camera | 16 | 0.72 | 2012 |
| Dense Non-rigid Structure from Motion | 13 | 0.56 | 2012 |
| In defence of negative mining for annotating weakly labelled data | 59 | 1.76 | 2012 |
| Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction | 99 | 4.30 | 2012 |
| Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions | 8 | 0.46 | 2011 |
| Efficient Second Order Multi-Target Tracking with Exclusion Constraints. | 1 | 0.36 | 2011 |
| Energy based multiple model fitting for non-rigid structure from motion | 41 | 1.05 | 2011 |
| Automated articulated structure and 3D shape recovery from point correspondences | 28 | 0.81 | 2011 |
| What, where and how many? combining object detectors and CRFs | 177 | 7.55 | 2010 |
| Graph cut based inference with co-occurrence statistics | 157 | 6.51 | 2010 |
| Efficient Piecewise Learning For Conditional Random Fields | 16 | 0.69 | 2010 |
| Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts | 10 | 0.96 | 2010 |
| Associative hierarchical CRFs for object class image segmentation | 180 | 8.12 | 2009 |
| Using the Pn Potts model with learning methods to segment live cell images. | 0 | 0.34 | 2007 |
