Chris Russell

CoRR, 2024

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

OxonFair: A Flexible Toolkit for Algorithmic Fairness.

[BibT_eX]

[DOI]

CoRR, 2024

Resource-constrained Fairness.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

The Third Monocular Depth Estimation Challenge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.

[BibT_eX]

[DOI]

Int. J. Geogr. Inf. Sci., December, 2023

Novel View Synthesis of Humans Using Differentiable Rendering.

[BibT_eX]

[DOI]

Guillaume Rochette

IEEE Trans. Biom. Behav. Identity Sci., July, 2023

Image retrieval outperforms diffusion models on data augmentation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

A data augmentation perspective on diffusion models and retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

The Monocular Depth Estimation Challenge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Translating Images into Maps (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

[BibT_eX]

[DOI]

Harvineet Singh

Volkan Cevher

Rumi Chunara

Proceedings of the International Conference on Machine Learning, 2023

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Adaptive Neighborhoods for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Second Monocular Depth Estimation Challenge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Efficient fair PCA for fair representation learning.

[BibT_eX]

[DOI]

Michele Donini

Muhammad Bilal Zafar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision.

[BibT_eX]

[DOI]

Junaid Ali

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.

[BibT_eX]

[DOI]

Big Data Soc., July, 2022

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Counterfactual Models for Fair and Adequate Explanations.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2022

4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation.

[BibT_eX]

[DOI]

Armin Mustafa

Carl-Johann Simon-Gabriel

Adrian Hilton

Int. J. Comput. Vis., 2022

Pixel-level Correspondence for Self-Supervised Learning from Video.

[BibT_eX]

[DOI]

CoRR, 2022

Assaying Out-Of-Distribution Generalization in Transfer Learning.

[BibT_eX]

[DOI]

Florian Wenzel

Andrea Dittadi

Peter V. Gehler

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.

[BibT_eX]

[DOI]

Michael Lohaus

Krishnaram Kenthapadi

Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Translating Images into Maps.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models.

[BibT_eX]

[DOI]

Paul Rolland

Volkan Cevher

Proceedings of the International Conference on Machine Learning, 2022

Active Sampling for Min-Max Fairness.

[BibT_eX]

[DOI]

Jacob D. Abernethy

Pranjal Awasthi

Jamie Morgenstern

Jie Zhang

Proceedings of the International Conference on Machine Learning, 2022

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Measuring Fairness of Rankings under Noisy Sensitive Information.

[BibT_eX]

[DOI]

Azin Ghazimatin

Ziawasch Abedjan

Jacek Golebiowski

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.

[BibT_eX]

[DOI]

Dominik Zietlow

Michael Lohaus

Guha Balakrishnan

Francesco Locatello

Bernhard Schölkopf

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pairwise Fairness for Ordinal Regression.

[BibT_eX]

[DOI]

Samira Samadi

Muhammad Bilal Zafar

Krishnaram Kenthapadi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Epistemic fragmentation poses a threat to the governance of online targeting.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2021

Translating Images into Maps.

[BibT_eX]

[DOI]

Avishkar Saha

Oscar Mendez Maldonado

CoRR, 2021

Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI.

[BibT_eX]

[DOI]

Comput. Law Secur. Rev., 2021

Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation.

[BibT_eX]

[DOI]

Avishkar Saha

Oscar Mendez Maldonado

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering.

[BibT_eX]

[DOI]

Guillaume Rochette

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.

[BibT_eX]

[DOI]

Andrew Elliott

Stephen Law

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fair and Adequate Explanations.

[BibT_eX]

[DOI]

Nicholas Asher

Soumya Paul

Proceedings of the Machine Learning and Knowledge Extraction, 2021

2020

Adequate and fair explanations.

[BibT_eX]

[DOI]

Nicholas Asher

Soumya Paul

CoRR, 2020

What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes.

[BibT_eX]

[DOI]

Herman Yau

Simon Hadfield

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.

[BibT_eX]

[DOI]

Stephen Law

Brooks Paige

ACM Trans. Intell. Syst. Technol., 2019

Linear programming-based submodular extensions for marginal estimation.

[BibT_eX]

[DOI]

Pankaj Pansari

M. Pawan Kumar

Comput. Vis. Image Underst., 2019

Adversarial Perturbations on the Perceptual Ball.

[BibT_eX]

[DOI]

Andrew Elliott

Stephen Law

CoRR, 2019

Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions.

[BibT_eX]

[DOI]

Matteo Toso

Neill D. F. Campbell

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.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

U4D: Unsupervised 4D Dynamic Scene Understanding.

[BibT_eX]

[DOI]

Armin Mustafa

Adrian Hilton

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Efficient Search for Diverse Coherent Explanations.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Explaining Explanations in AI.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency.

[BibT_eX]

[DOI]

Guillaume Rochette

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Causal Interventions for Fairness.

[BibT_eX]

[DOI]

CoRR, 2018

Causal Reasoning for Algorithmic Fairness.

[BibT_eX]

[DOI]

CoRR, 2018

Worst-case Optimal Submodular Extensions for Marginal Estimation.

[BibT_eX]

[DOI]

Pankaj Pansari

M. Pawan Kumar

CoRR, 2018

Optimal Submodular Extensions for Marginal Estimation.

[BibT_eX]

[DOI]

Pankaj Pansari

M. Pawan Kumar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Efficient minimization of higher order submodular functions using monotonic Boolean functions.

[BibT_eX]

[DOI]

Discret. Appl. Math., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Counterfactual Fairness.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Denis Tomè

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Solving Jigsaw Puzzles with Linear Programming.

[BibT_eX]

[DOI]

Rui Yu

Proceedings of the British Machine Vision Conference 2016, 2016

Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Part-based modelling of compound scenes from images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Associative Hierarchical Random Fields.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

Semi-supervised Learning Using an Unsupervised Atlas.

[BibT_eX]

[DOI]

Nikolaos Pitelis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes.

[BibT_eX]

[DOI]

Rui Yu

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Inference Methods for CRFs with Co-occurrence Statistics.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2013

Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning a Manifold as an Atlas.

[BibT_eX]

[DOI]

Nikolaos Pitelis

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2012

Dense multibody motion estimation and reconstruction from a handheld camera.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Symposium on Mixed and Augmented Reality, 2012

In Defence of Negative Mining for Annotating Weakly Labelled Data.

[BibT_eX]

[DOI]

Parthipan Siva

Tao Xiang

Proceedings of the Computer Vision - ECCV 2012, 2012

Dense Non-rigid Structure from Motion.

[BibT_eX]

[DOI]

João Fayad

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011

Automated articulated structure and 3D shape recovery from point correspondences.

[BibT_eX]

[DOI]

João Fayad

Proceedings of the IEEE International Conference on Computer Vision, 2011

Energy based multiple model fitting for non-rigid structure from motion.

[BibT_eX]

[DOI]

João Fayad

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Efficient Second Order Multi-Target Tracking with Exclusion Constraints.

[BibT_eX]

[DOI]

Francesco Setti

Proceedings of the British Machine Vision Conference, 2011

2010

Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

What, Where and How Many? Combining Object Detectors and CRFs.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2010

Graph Cut Based Inference with Co-occurrence Statistics.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

Efficient piecewise learning for conditional random fields.

[BibT_eX]

[DOI]

Karteek Alahari