Russell, Chris

48 publications

TMLR 2025 DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo

NeurIPS 2025 FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models Zihao Fu, Ryan Brown, Shun Shao, Kai Rawal, Eoin D. Delaney, Chris Russell

CVPRW 2025 The Fourth Monocular Depth Estimation Challenge Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad

NeurIPS 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney, Zihao Fu, Sandra Wachter, Brent Mittelstadt, Chris Russell

ICMLW 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin D. Delaney, Zihao Fu, Sandra Wachter, Brent Mittelstadt, Chris Russell

NeurIPSW 2024 The Effect of Fine-Tuning on Language Model Toxicity Will Hawkins, Brent Mittelstadt, Chris Russell

CVPRW 2024 The Third Monocular Depth Estimation Challenge Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder

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

AISTATS 2023 Efficient Fair PCA for Fair Representation Learning Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar

TMLR 2023 Image Retrieval Outperforms Diffusion Models on Data Augmentation Max F Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell

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

ICCV 2023 Learning Adaptive Neighborhoods for Graph Neural Networks Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden

CVPRW 2023 The Second Monocular Depth Estimation Challenge Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao

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

ICML 2023 When Do Minimax-Fair Learning and Empirical Risk Minimization Coincide? Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell

AISTATS 2022 Pairwise Fairness for Ordinal Regression Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell

CVPR 2022 "The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden

ICML 2022 Active Sampling for Min-Max Fairness Jacob D Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang

NeurIPS 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

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, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello

TMLR 2022 Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions That Matter Jaime Spencer, Chris Russell, Simon Hadfield, 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

ICMLW 2022 Pixel-Level Correspondence for Self-Supervised Learning from Video Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox

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

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

CVPR 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball Andrew Elliott, Stephen Law, Chris Russell

NeurIPS 2020 What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes Herman Yau, Chris Russell, Simon Hadfield

NeurIPS 2019 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions Chris Russell, Matteo Toso, Neill Campbell

ICML 2019 Making Decisions That Reduce Discriminatory Impacts Matt Kusner, Chris Russell, Joshua Loftus, Ricardo Silva

AISTATS 2018 Optimal Submodular Extensions for Marginal Estimation Pankaj Pansari, Chris Russell, M. Pawan Kumar

NeurIPS 2017 Counterfactual Fairness Matt J Kusner, Joshua Loftus, Chris Russell, Ricardo Silva

CVPR 2017 Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image Denis Tome, Chris Russell, Lourdes Agapito

NeurIPS 2017 VEEGAN: Reducing Mode Collapse in GANs Using Implicit Variational Learning Akash Srivastava, Lazar Valkov, Chris Russell, Michael U. Gutmann, Charles Sutton

NeurIPS 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness Chris Russell, Matt J Kusner, Joshua Loftus, Ricardo Silva

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

CVPR 2015 Part-Based Modelling of Compound Scenes from Images Anton van den Hengel, Chris Russell, Anthony Dick, John Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito

ECML-PKDD 2014 Semi-Supervised Learning Using an Unsupervised Atlas Nikolaos Pitelis, Chris Russell, Lourdes Agapito

ECCV 2014 Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes Chris Russell, Rui Yu, Lourdes Agapito

CVPR 2013 Learning a Manifold as an Atlas Nikolaos Pitelis, Chris Russell, Lourdes Agapito

CVPR 2013 Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection Parthipan Siva, Chris Russell, Tao Xiang, Lourdes Agapito

ECCV 2012 In Defence of Negative Mining for Annotating Weakly Labelled Data Parthipan Siva, Chris Russell, Tao Xiang

ICCV 2011 Automated Articulated Structure and 3D Shape Recovery from Point Correspondences João Fayad, Chris Russell, Lourdes Agapito

CVPR 2011 Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion Chris Russell, João Fayad, Lourdes Agapito

CVPR 2010 Efficient Piecewise Learning for Conditional Random Fields Karteek Alahari, Chris Russell, Philip H. S. Torr

UAI 2010 Exact and Approximate Inference in Associative Hierarchical Networks Using Graph Cuts Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr

ECCV 2010 Graph Cut Based Inference with Co-Occurrence Statistics Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

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

ICCV 2009 Associative Hierarchical CRFs for Object Class Image Segmentation Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr