Chris Russell

Orcid: 0000-0003-1665-1759

Affiliations:
  • Amazon Web Services
  • Alan Turing Institute, London, UK
  • University of Surrey, Guildford, UK
  • University of London, University College London, UK
  • University of London, Queen Mary College, UK
  • Oxford Brookes University, UK


According to our database1, Chris Russell authored at least 84 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV.
CoRR, 2024

2023
Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.
Int. J. Geogr. Inf. Sci., December, 2023

Novel View Synthesis of Humans Using Differentiable Rendering.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023

A data augmentation perspective on diffusion models and retrieval.
CoRR, 2023

The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default.
CoRR, 2023

The Monocular Depth Estimation Challenge.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Translating Images into Maps (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
Proceedings of the International Conference on Machine Learning, 2023

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Adaptive Neighborhoods for Graph Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

Efficient fair PCA for fair representation learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising.
Big Data Soc., July, 2022

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter.
Trans. Mach. Learn. Res., 2022

Counterfactual Models for Fair and Adequate Explanations.
Mach. Learn. Knowl. Extr., 2022

4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation.
Int. J. Comput. Vis., 2022

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter.
CoRR, 2022

Pixel-level Correspondence for Self-Supervised Learning from Video.
CoRR, 2022

Assaying Out-Of-Distribution Generalization in Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Translating Images into Maps.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models.
Proceedings of the International Conference on Machine Learning, 2022

Active Sampling for Min-Max Fairness.
Proceedings of the International Conference on Machine Learning, 2022

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Measuring Fairness of Rankings under Noisy Sensitive Information.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

'The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pairwise Fairness for Ordinal Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Epistemic fragmentation poses a threat to the governance of online targeting.
Nat. Mach. Intell., 2021

Translating Images into Maps.
CoRR, 2021

Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI.
Comput. Law Secur. Rev., 2021

Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fair and Adequate Explanations.
Proceedings of the Machine Learning and Knowledge Extraction, 2021

2020
Adequate and fair explanations.
CoRR, 2020

What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices.
ACM Trans. Intell. Syst. Technol., 2019

Linear programming-based submodular extensions for marginal estimation.
Comput. Vis. Image Underst., 2019

Adversarial Perturbations on the Perceptual Ball.
CoRR, 2019

Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Making Decisions that Reduce Discriminatory Impacts.
Proceedings of the 36th International Conference on Machine Learning, 2019

U4D: Unsupervised 4D Dynamic Scene Understanding.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Efficient Search for Diverse Coherent Explanations.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Explaining Explanations in AI.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Causal Interventions for Fairness.
CoRR, 2018

Causal Reasoning for Algorithmic Fairness.
CoRR, 2018

Worst-case Optimal Submodular Extensions for Marginal Estimation.
CoRR, 2018

Optimal Submodular Extensions for Marginal Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture.
Proceedings of the 2018 International Conference on 3D Vision, 2018

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

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.
CoRR, 2017

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Counterfactual Fairness.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Solving Jigsaw Puzzles with Linear Programming.
Proceedings of the British Machine Vision Conference 2016, 2016

Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Part-based modelling of compound scenes from images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

F-formation Detection: Individuating Free-standing Conversational Groups in Images.
CoRR, 2014

Semi-supervised Learning Using an Unsupervised Atlas.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes.
Proceedings of the Computer Vision - ECCV 2014, 2014

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

Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning a Manifold as an Atlas.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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

Dense multibody motion estimation and reconstruction from a handheld camera.
Proceedings of the 11th IEEE International Symposium on Mixed and Augmented Reality, 2012

In Defence of Negative Mining for Annotating Weakly Labelled Data.
Proceedings of the Computer Vision - ECCV 2012, 2012

Dense Non-rigid Structure from Motion.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
Automated articulated structure and 3D shape recovery from point correspondences.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Energy based multiple model fitting for non-rigid structure from motion.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Efficient Second Order Multi-Target Tracking with Exclusion Constraints.
Proceedings of the British Machine Vision Conference, 2011

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

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

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

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

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


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