Using the Pn Potts model with learning methods to segment live cell images. - Christopher Russell 001; Dimitris N. Metaxas; Christophe Restif; Philip H. S. Torr (ICCV, 2007)

Associative hierarchical CRFs for object class image segmentation. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (ICCV, 2009)

Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. - Lubor Ladicky; Paul Sturgess; Chris Russell 001; Sunando Sengupta; Yalin Bastanlar; William F. Clocksin; Philip H. S. Torr (BMVC, 2010)

Efficient piecewise learning for conditional random fields. - Karteek Alahari; Chris Russell 001; Philip H. S. Torr (CVPR, 2010)

Graph Cut Based Inference with Co-occurrence Statistics. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (ECCV (5), 2010)

What, Where and How Many? Combining Object Detectors and CRFs. - Lubor Ladicky; Paul Sturgess; Karteek Alahari; Chris Russell 001; Philip H. S. Torr (ECCV (4), 2010)

Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. - Chris Russell 001; Lubor Ladicky; Pushmeet Kohli; Philip H. S. Torr (UAI, 2010)

Efficient Second Order Multi-Target Tracking with Exclusion Constraints. - Chris Russell 001; Lourdes Agapito; Francesco Setti (BMVC, 2011)

Energy based multiple model fitting for non-rigid structure from motion. - Chris Russell 001; João Fayad; Lourdes Agapito (CVPR, 2011)

Automated articulated structure and 3D shape recovery from point correspondences. - João Fayad; Chris Russell 001; Lourdes Agapito (ICCV, 2011)

Dense Non-rigid Structure from Motion. - Chris Russell 001; João Fayad; Lourdes Agapito (3DIMPVT, 2012)

In Defence of Negative Mining for Annotating Weakly Labelled Data. - Parthipan Siva; Chris Russell 001; Tao Xiang 002 (ECCV (3), 2012)

Dense multibody motion estimation and reconstruction from a handheld camera. - Anastasios Roussos; Chris Russell 001; Ravi Garg; Lourdes Agapito (ISMAR, 2012)

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. - Lubor Ladicky; Paul Sturgess; Chris Russell 001; Sunando Sengupta; Yalin Bastanlar; William F. Clocksin; Philip H. S. Torr (Int. J. Comput. Vis., 2012)

Learning a Manifold as an Atlas. - Nikolaos Pitelis; Chris Russell 001; Lourdes Agapito (CVPR, 2013)

Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection. - Parthipan Siva; Chris Russell 001; Tao Xiang 002; Lourdes Agapito (CVPR, 2013)

Inference Methods for CRFs with Co-occurrence Statistics. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (Int. J. Comput. Vis., 2013)

Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes. - Chris Russell 001; Rui Yu; Lourdes Agapito (ECCV (7), 2014)

Semi-supervised Learning Using an Unsupervised Atlas. - Nikolaos Pitelis; Chris Russell 001; Lourdes Agapito (ECML/PKDD (2), 2014)

F-formation Detection: Individuating Free-standing Conversational Groups in Images. - Francesco Setti; Chris Russell 001; Chiara Bassetti; Marco Cristani (CoRR, 2014)

Associative Hierarchical Random Fields. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Part-based modelling of compound scenes from images. - Anton van den Hengel; Chris Russell 001; Anthony R. Dick; John W. Bastian; Daniel Pooley; Lachlan Fleming; Lourdes Agapito (CVPR, 2015)

Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. - Rui Yu; Chris Russell 001; Neill D. F. Campbell; Lourdes Agapito (ICCV, 2015)

Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. - Chris Russell 001; Lourdes Agapito; Rui Yu; Andrew W. Fitzgibbon; Liu-Yin Qi (BMVC, 2016)

Solving Jigsaw Puzzles with Linear Programming. - Rui Yu; Chris Russell 001; Lourdes Agapito (BMVC, 2016)

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. - Denis Tomè; Chris Russell 001; Lourdes Agapito (CVPR, 2017)

Counterfactual Fairness. - Matt J. Kusner; Joshua R. Loftus; Chris Russell 001; Ricardo Silva 001 (NIPS, 2017)

When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. - Chris Russell 001; Matt J. Kusner; Joshua R. Loftus; Ricardo Silva 001 (NIPS, 2017)

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning. - Akash Srivastava; Lazar Valkov; Chris Russell 001; Michael U. Gutmann; Charles Sutton (NIPS, 2017)

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. - Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 2017)

Efficient minimization of higher order submodular functions using monotonic Boolean functions. - Srikumar Ramalingam; Chris Russell 001; Lubor Ladicky; Philip H. S. Torr (Discret. Appl. Math., 2017)

Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. - Denis Tomè; Matteo Toso; Lourdes Agapito; Chris Russell 001 (3DV, 2018)

Optimal Submodular Extensions for Marginal Estimation. - Pankaj Pansari; Chris Russell 001; M. Pawan Kumar (AISTATS, 2018)

Worst-case Optimal Submodular Extensions for Marginal Estimation. - Pankaj Pansari; Chris Russell 001; M. Pawan Kumar (CoRR, 2018)

Causal Reasoning for Algorithmic Fairness. - Joshua R. Loftus; Chris Russell 001; Matt J. Kusner; Ricardo Silva 001 (CoRR, 2018)

Causal Interventions for Fairness. - Matt J. Kusner; Chris Russell 001; Joshua R. Loftus; Ricardo Silva 001 (CoRR, 2018)

Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. - Guillaume Rochette; Chris Russell 001; Richard Bowden (BMVC, 2019)

Explaining Explanations in AI. - Brent D. Mittelstadt 002; Chris Russell 001; Sandra Wachter (FAT, 2019)

Efficient Search for Diverse Coherent Explanations. - Chris Russell 001 (FAT, 2019)

U4D: Unsupervised 4D Dynamic Scene Understanding. - Armin Mustafa; Chris Russell 001; Adrian Hilton 001 (ICCV, 2019)

Making Decisions that Reduce Discriminatory Impacts. - Matt J. Kusner; Chris Russell 001; Joshua R. Loftus; Ricardo Silva 001 (ICML, 2019)

Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. - Chris Russell 001; Matteo Toso; Neill D. F. Campbell (NeurIPS, 2019)

Adversarial Perturbations on the Perceptual Ball. - Andrew Elliott; Stephen Law; Chris Russell 001 (CoRR, 2019)

Linear programming-based submodular extensions for marginal estimation. - Pankaj Pansari; Chris Russell 001; M. Pawan Kumar (Comput. Vis. Image Underst., 2019)

Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. - Stephen Law; Brooks Paige; Chris Russell 001 (ACM Trans. Intell. Syst. Technol., 2019)

What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes. - Herman Yau; Chris Russell 001; Simon Hadfield (NeurIPS, 2020)

Adequate and fair explanations. - Nicholas Asher; Soumya Paul; Chris Russell 001 (CoRR, 2020)

Fair and Adequate Explanations. - Nicholas Asher; Soumya Paul; Chris Russell 001 (CD-MAKE, 2021)

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. - Andrew Elliott; Stephen Law; Chris Russell 001 (CVPR, 2021)

Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering. - Guillaume Rochette; Chris Russell 001; Richard Bowden (FG, 2021)

Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation. - Avishkar Saha; Oscar Mendez Maldonado; Chris Russell 001; Richard Bowden (ICRA, 2021)

Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI. - Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (Comput. Law Secur. Rev., 2021)

Translating Images into Maps. - Avishkar Saha; Oscar Mendez Maldonado; Chris Russell 001; Richard Bowden (CoRR, 2021)

Epistemic fragmentation poses a threat to the governance of online targeting. - Silvia Milano; Brent D. Mittelstadt 002; Sandra Wachter; Christopher Russell 001 (Nat. Mach. Intell., 2021)

Pairwise Fairness for Ordinal Regression. - Matthäus Kleindessner; Samira Samadi; Muhammad Bilal Zafar; Krishnaram Kenthapadi; Chris Russell 001 (AISTATS, 2022)

'The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. - Avishkar Saha; Oscar Mendez; Chris Russell 001; Richard Bowden (CVPR, 2022)

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. - Dominik Zietlow; Michael Lohaus; Guha Balakrishnan; Matthäus Kleindessner; Francesco Locatello; Bernhard Schölkopf; Chris Russell 001 (CVPR, 2022)

Measuring Fairness of Rankings under Noisy Sensitive Information. - Azin Ghazimatin; Matthäus Kleindessner; Chris Russell 001; Ziawasch Abedjan; Jacek Golebiowski (FAccT, 2022)

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. - Lukas Schott; Julius von Kügelgen; Frederik Träuble; Peter Vincent Gehler; Chris Russell 001; Matthias Bethge; Bernhard Schölkopf; Francesco Locatello; Wieland Brendel (ICLR, 2022)

Active Sampling for Min-Max Fairness. - Jacob D. Abernethy; Pranjal Awasthi; Matthäus Kleindessner; Jamie Morgenstern; Chris Russell 001; Jie Zhang 096 (ICML, 2022)

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. - Paul Rolland; Volkan Cevher; Matthäus Kleindessner; Chris Russell 001; Dominik Janzing; Bernhard Schölkopf; Francesco Locatello (ICML, 2022)

Translating Images into Maps. - Avishkar Saha; Oscar Mendez; Chris Russell 001; Richard Bowden (ICRA, 2022)

Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. - Michael Lohaus; Matthäus Kleindessner; Krishnaram Kenthapadi; Francesco Locatello; Chris Russell 001 (NeurIPS, 2022)

Assaying Out-Of-Distribution Generalization in Transfer Learning. - Florian Wenzel; Andrea Dittadi; Peter V. Gehler; Carl-Johann Simon-Gabriel; Max Horn; Dominik Zietlow; David Kernert; Chris Russell 001; Thomas Brox; Bernt Schiele; Bernhard Schölkopf; Francesco Locatello (NeurIPS, 2022)

Pixel-level Correspondence for Self-Supervised Learning from Video. - Yash Sharma 001; Yi Zhu; Chris Russell 001; Thomas Brox (CoRR, 2022)

4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation. - Armin Mustafa; Chris Russell 001; Adrian Hilton 001 (Int. J. Comput. Vis., 2022)

Counterfactual Models for Fair and Adequate Explanations. - Nicholas Asher; Lucas de Lara; Soumya Paul; Chris Russell 001 (Mach. Learn. Knowl. Extr., 2022)

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. - Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden (Trans. Mach. Learn. Res., 2022)

The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising. - Johann Laux; Fabian Stephany; Chris Russell 001; Sandra Wachter; Brent D. Mittelstadt 002 (Big Data Soc., 2022)

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. - Junaid Ali 001; Matthäus Kleindessner; Florian Wenzel; Kailash Budhathoki; Volkan Cevher; Chris Russell 001 (AIES, 2023)

Efficient fair PCA for fair representation learning. - Matthäus Kleindessner; Michele Donini; Chris Russell 001; Muhammad Bilal Zafar (AISTATS, 2023)

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. - Yuejiang Liu; Alexandre Alahi; Chris Russell 001; Max Horn; Dominik Zietlow; Bernhard Schölkopf; Francesco Locatello (CLeaR, 2023)

The Second Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Michaela Trescakova; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Ali Anwar 002; Hao Chen 041; et al. (CVPR Workshops, 2023)

Learning Adaptive Neighborhoods for Graph Neural Networks. - Avishkar Saha; Oscar Mendez; Chris Russell 001; Richard Bowden (ICCV, 2023)

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. - Jaime Spencer; Simon Hadfield; Chris Russell 001; Richard Bowden (ICCV, 2023)

When do Minimax-fair Learning and Empirical Risk Minimization Coincide? - Harvineet Singh; Matthäus Kleindessner; Volkan Cevher; Rumi Chunara; Chris Russell 001 (ICML, 2023)

Translating Images into Maps (Extended Abstract). - Avishkar Saha; Oscar Mendez; Chris Russell 001; Richard Bowden (IJCAI, 2023)

The Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Heng Cong; Stefano Mattoccia; Matteo Poggi; et al. (WACV (Workshops), 2023)

The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default. - Brent D. Mittelstadt 002; Sandra Wachter; Chris Russell 001 (CoRR, 2023)

A data augmentation perspective on diffusion models and retrieval. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (CoRR, 2023)

Image retrieval outperforms diffusion models on data augmentation. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (Trans. Mach. Learn. Res., 2023)

Novel View Synthesis of Humans Using Differentiable Rendering. - Guillaume Rochette; Chris Russell 001; Richard Bowden (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals. - Stephen Law; Rikuo Hasegawa; Brooks Paige; Chris Russell 001; Andrew Elliott (Int. J. Geogr. Inf. Sci., 2023)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

OxonFair: A Flexible Toolkit for Algorithmic Fairness. - Eoin Delaney; Zihao Fu; Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (NeurIPS, 2024)

Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV. - Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden (CoRR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Resource-constrained Fairness. - Sofie Goethals; Eoin Delaney; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 2024)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Siyu Heng; Junyu Luo 002; Yanxin Shen; Xiao Luo 001 (CoRR, 2024)

The effect of fine-tuning on language model toxicity. - Will Hawkins; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 2024)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

Deepfakes on Demand: The rise of accessible non-consensual deepfake image generators: The rise of accessible non-consensual deepfake image generators. - Will Hawkins; Brent D. Mittelstadt 002; Chris Russell 001 (FAccT, 2025)

Evaluating Model Explanations without Ground Truth. - Kaivalya Rawal; Zihao Fu; Eoin Delaney; Chris Russell 001 (FAccT, 2025)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Yanxin Shen; Junyu Luo 002; Ming Zhang 004; Siyu Heng; Xiao Luo 001 (Trans. Mach. Learn. Res., 2025)

Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators. - Will Hawkins; Chris Russell 001; Brent D. Mittelstadt 002 (CoRR, 2025)

Multi-use LLM Watermarking and the False Detection Problem. - Zihao Fu; Chris Russell 001 (CoRR, 2025)

Critical Appraisal of Fairness Metrics in Clinical Predictive AI. - João Matos; Ben Van Calster; Leo Anthony Celi; Paula Dhiman; Judy Wawira Gichoya; Richard D. Riley; Chris Russell 001; Sara Khalid; Gary S. Collins (CoRR, 2025)