Chris Russell - RankMe

140 papers A* 30A 9B 1C 2Journal 78Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent Benchmarks Fail Public Sector Requirements. CoRR Jonathan Rystrøm, Chris Schmitz, Karolina Korgul, Jan Batzner, Chris Russell
2026	J	`jnl`	Evaluating the Ability of Explanations to Disambiguate Models in a Rashomon Set. CoRR Kaivalya Rawal, Eoin Delaney, Zihao Fu, Sandra Wachter, Chris Russell
2026	J	`jnl`	LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations. CoRR William Lugoloobi, Thomas Foster, William Bankes, Chris Russell
2026	J	`jnl`	Task-Specific Knowledge Distillation via Intermediate Probes. CoRR Ryan Brown, Chris Russell
2025	J	`jnl`	CAST: Compositional Analysis via Spectral Tracking for Understanding Transformer Layer Functions. CoRR Zihao Fu, Ming Liao, Chris Russell, Zhenguang G. Cai
2025	J	`jnl`	Critical Appraisal of Fairness Metrics in Clinical Predictive AI. CoRR João Matos, Ben Van Calster, Leo Anthony Celi, Paula Dhiman, Judy Wawira Gichoya, Richard D. Riley, Chris Russell, Sara Khalid, Gary S. Collins
2025	J	`jnl`	DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. Trans. Mach. Learn. Res. Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo
2025	—	`conf`	Deepfakes on Demand: The rise of accessible non-consensual deepfake image generators: The rise of accessible non-consensual deepfake image generators. FAccT Will Hawkins, Brent D. Mittelstadt, Chris Russell
2025	J	`jnl`	Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators. CoRR Will Hawkins, Chris Russell, Brent D. Mittelstadt
2025	—	`conf`	Evaluating Model Explanations without Ground Truth. FAccT Kaivalya Rawal, Zihao Fu, Eoin Delaney, Chris Russell
2025	J	`jnl`	Evaluating Model Explanations without Ground Truth. CoRR Kaivalya Rawal, Zihao Fu, Eoin Delaney, Chris Russell
2025	J	`jnl`	FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models. CoRR Zihao Fu, Ryan Brown, Shun Shao, Kai Rawal, Eoin Delaney, Chris Russell
2025	J	`jnl`	It's a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web Agents. CoRR Karolina Korgul, Yushi Yang, Arkadiusz Drohomirecki, Piotr Blaszczyk, Will Howard, Lukas Aichberger, Chris Russell, Philip H. S. Torr, Adam Mahdi, Adel Bibi
2025	A*	`conf`	LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations. EMNLP Harry Mayne, Ryan Othniel Kearns, Yushi Yang, Andrew M. Bean, Eoin D. Delaney, Chris Russell, Adam Mahdi
2025	J	`jnl`	LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations. CoRR Harry Mayne, Ryan Othniel Kearns, Yushi Yang, Andrew M. Bean, Eoin Delaney, Chris Russell, Adam Mahdi
2025	J	`jnl`	LLMs Encode How Difficult Problems Are. CoRR William Lugoloobi, Chris Russell
2025	J	`jnl`	Multi-use LLM Watermarking and the False Detection Problem. CoRR Zihao Fu, Chris Russell
2025	J	`jnl`	OxEnsemble: Fair Ensembles for Low-Data Classification. CoRR Jonathan Rystrøm, Zihao Fu, Chris Russell
2025	—	`conf`	The Fourth Monocular Depth Estimation Challenge. CVPR Workshops 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
2025	J	`jnl`	The Fourth Monocular Depth Estimation Challenge. CoRR 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
2024	J	`jnl`	DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. CoRR Pengyun Wang, Yadi Cao, Chris Russell, Siyu Heng, Junyu Luo, Yanxin Shen, Xiao Luo
2024	J	`jnl`	Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV. CoRR Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
2024	A*	`conf`	OxonFair: A Flexible Toolkit for Algorithmic Fairness. NeurIPS Eoin Delaney, Zihao Fu, Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2024	J	`jnl`	OxonFair: A Flexible Toolkit for Algorithmic Fairness. CoRR Eoin Delaney, Zihao Fu, Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2024	J	`jnl`	Resource-constrained Fairness. CoRR Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell
2024	—	`conf`	The Third Monocular Depth Estimation Challenge. CVPR Workshops 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
2024	J	`jnl`	The Third Monocular Depth Estimation Challenge. CoRR 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
2024	J	`jnl`	The effect of fine-tuning on language model toxicity. CoRR Will Hawkins, Brent D. Mittelstadt, Chris Russell
2023	J	`jnl`	A data augmentation perspective on diffusion models and retrieval. CoRR Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
2023	—	`conf`	Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023	J	`jnl`	Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CoRR Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023	A	`conf`	Efficient fair PCA for fair representation learning. AISTATS Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar
2023	J	`jnl`	Efficient fair PCA for fair representation learning. CoRR Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar
2023	C	`conf`	Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
2023	J	`jnl`	Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. CoRR Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
2023	J	`jnl`	Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals. Int. J. Geogr. Inf. Sci. Stephen Law, Rikuo Hasegawa, Brooks Paige, Chris Russell, Andrew Elliott
2023	J	`jnl`	Image retrieval outperforms diffusion models on data augmentation. Trans. Mach. Learn. Res. Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
2023	A*	`conf`	Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. ICCV Jaime Spencer, Simon Hadfield, Chris Russell, Richard Bowden
2023	J	`jnl`	Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. CoRR Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
2023	A*	`conf`	Learning Adaptive Neighborhoods for Graph Neural Networks. ICCV Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2023	J	`jnl`	Learning Adaptive Neighborhoods for Graph Neural Networks. CoRR Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2023	J	`jnl`	Novel View Synthesis of Humans Using Differentiable Rendering. IEEE Trans. Biom. Behav. Identity Sci. Guillaume Rochette, Chris Russell, Richard Bowden
2023	J	`jnl`	Novel View Synthesis of Humans using Differentiable Rendering. CoRR Guillaume Rochette, Chris Russell, Richard Bowden
2023	—	`conf`	The Monocular Depth Estimation Challenge. WACV (Workshops) Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
2023	—	`conf`	The Second Monocular Depth Estimation Challenge. CVPR Workshops 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
2023	J	`jnl`	The Second Monocular Depth Estimation Challenge. CoRR 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
2023	J	`jnl`	The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default. CoRR Brent D. Mittelstadt, Sandra Wachter, Chris Russell
2023	A*	`conf`	Translating Images into Maps (Extended Abstract). IJCAI Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2023	A*	`conf`	When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell
2022	J	`jnl`	"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. CoRR Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2022	A*	`conf`	'The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. CVPR Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2022	J	`jnl`	4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation. Int. J. Comput. Vis. Armin Mustafa, Chris Russell, Adrian Hilton
2022	A*	`conf`	Active Sampling for Min-Max Fairness. ICML Jacob D. Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang
2022	A*	`conf`	Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. NeurIPS Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell
2022	J	`jnl`	Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. CoRR Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell
2022	A*	`conf`	Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS 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
2022	J	`jnl`	Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
2022	J	`jnl`	Counterfactual Models for Fair and Adequate Explanations. Mach. Learn. Knowl. Extr. Nicholas Asher, Lucas de Lara, Soumya Paul, Chris Russell
2022	J	`jnl`	Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. CoRR Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
2022	J	`jnl`	Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. Trans. Mach. Learn. Res. Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
2022	A*	`conf`	Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CVPR Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
2022	J	`jnl`	Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CoRR Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
2022	—	`conf`	Measuring Fairness of Rankings under Noisy Sensitive Information. FAccT Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski
2022	A	`conf`	Pairwise Fairness for Ordinal Regression. AISTATS Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
2022	J	`jnl`	Pixel-level Correspondence for Self-Supervised Learning from Video. CoRR Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox
2022	A*	`conf`	Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
2022	J	`jnl`	Score matching enables causal discovery of nonlinear additive noise models. CoRR Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello
2022	J	`jnl`	The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising. Big Data Soc. Johann Laux, Fabian Stephany, Chris Russell, Sandra Wachter, Brent D. Mittelstadt
2022	J	`jnl`	The Monocular Depth Estimation Challenge. CoRR Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
2022	A*	`conf`	Translating Images into Maps. ICRA Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2022	A*	`conf`	Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. ICLR Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
2021	A*	`conf`	Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation. ICRA Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
2021	A*	`conf`	Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. CVPR Andrew Elliott, Stephen Law, Chris Russell
2021	C	`conf`	Fair and Adequate Explanations. CD-MAKE Nicholas Asher, Soumya Paul, Chris Russell
2021	B	`conf`	Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering. FG Guillaume Rochette, Chris Russell, Richard Bowden
2021	J	`jnl`	Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering. CoRR Guillaume Rochette, Chris Russell, Richard Bowden
2021	J	`jnl`	Pairwise Fairness for Ordinal Regression. CoRR Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
2021	J	`jnl`	Translating Images into Maps. CoRR Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden
2021	J	`jnl`	Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. CoRR Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
2021	J	`jnl`	Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI. Comput. Law Secur. Rev. Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2020	J	`jnl`	Adequate and fair explanations. CoRR Nicholas Asher, Soumya Paul, Chris Russell
2020	J	`jnl`	What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes. CoRR Herman Yau, Chris Russell, Simon Hadfield
2020	A*	`conf`	What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes. NeurIPS Herman Yau, Chris Russell, Simon Hadfield
2020	J	`jnl`	Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI. CoRR Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2019	J	`jnl`	Adversarial Perturbations on the Perceptual Ball. CoRR Andrew Elliott, Stephen Law, Chris Russell
2019	—	`conf`	Efficient Search for Diverse Coherent Explanations. FAT Chris Russell
2019	J	`jnl`	Efficient Search for Diverse Coherent Explanations. CoRR Chris Russell
2019	—	`conf`	Explaining Explanations in AI. FAT Brent D. Mittelstadt, Chris Russell, Sandra Wachter
2019	A*	`conf`	Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. NeurIPS Chris Russell, Matteo Toso, Neill D. F. Campbell
2019	J	`jnl`	Linear programming-based submodular extensions for marginal estimation. Comput. Vis. Image Underst. Pankaj Pansari, Chris Russell, M. Pawan Kumar
2019	A*	`conf`	Making Decisions that Reduce Discriminatory Impacts. ICML Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva
2019	J	`jnl`	Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. ACM Trans. Intell. Syst. Technol. Stephen Law, Brooks Paige, Chris Russell
2019	A*	`conf`	U4D: Unsupervised 4D Dynamic Scene Understanding. ICCV Armin Mustafa, Chris Russell, Adrian Hilton
2019	J	`jnl`	U4D: Unsupervised 4D Dynamic Scene Understanding. CoRR Armin Mustafa, Chris Russell, Adrian Hilton
2019	A	`conf`	Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. BMVC Guillaume Rochette, Chris Russell, Richard Bowden
2019	J	`jnl`	Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. CoRR Guillaume Rochette, Chris Russell, Richard Bowden
2018	J	`jnl`	Causal Interventions for Fairness. CoRR Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva
2018	J	`jnl`	Causal Reasoning for Algorithmic Fairness. CoRR Joshua R. Loftus, Chris Russell, Matt J. Kusner, Ricardo Silva
2018	J	`jnl`	Explaining Explanations in AI. CoRR Brent D. Mittelstadt, Chris Russell, Sandra Wachter
2018	A	`conf`	Optimal Submodular Extensions for Marginal Estimation. AISTATS Pankaj Pansari, Chris Russell, M. Pawan Kumar
2018	—	`conf`	Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. 3DV Denis Tomè, Matteo Toso, Lourdes Agapito, Chris Russell
2018	J	`jnl`	Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. CoRR Denis Tomè, Matteo Toso, Lourdes Agapito, Chris Russell
2018	J	`jnl`	Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. CoRR Stephen Law, Brooks Paige, Chris Russell
2018	J	`jnl`	Worst-case Optimal Submodular Extensions for Marginal Estimation. CoRR Pankaj Pansari, Chris Russell, M. Pawan Kumar
2017	J	`jnl`	Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. CoRR Liu-Yin Qi, Rui Yu, Lourdes Agapito, Andrew W. Fitzgibbon, Chris Russell
2017	J	`jnl`	Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. CoRR Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2017	—	`conf`	Counterfactual Fairness. NIPS Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva
2017	J	`jnl`	Counterfactual Fairness. CoRR Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva
2017	J	`jnl`	Efficient minimization of higher order submodular functions using monotonic Boolean functions. Discret. Appl. Math. Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr
2017	A*	`conf`	Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. CVPR Denis Tomè, Chris Russell, Lourdes Agapito
2017	J	`jnl`	Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. CoRR Denis Tomè, Chris Russell, Lourdes Agapito
2017	—	`conf`	VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning. NIPS Akash Srivastava, Lazar Valkov, Chris Russell, Michael U. Gutmann, Charles Sutton
2017	—	`conf`	When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. NIPS Chris Russell, Matt J. Kusner, Joshua R. Loftus, Ricardo Silva
2016	A	`conf`	Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. BMVC Chris Russell, Lourdes Agapito, Rui Yu, Andrew W. Fitzgibbon, Liu-Yin Qi
2016	A	`conf`	Solving Jigsaw Puzzles with Linear Programming. BMVC Rui Yu, Chris Russell, Lourdes Agapito
2015	A*	`conf`	Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. ICCV Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito
2015	A*	`conf`	Part-based modelling of compound scenes from images. CVPR Anton van den Hengel, Chris Russell, Anthony R. Dick, John W. Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito
2015	J	`jnl`	Solving Jigsaw Puzzles with Linear Programming. CoRR Rui Yu, Chris Russell, Lourdes Agapito
2014	J	`jnl`	Associative Hierarchical Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
2014	J	`jnl`	F-formation Detection: Individuating Free-standing Conversational Groups in Images. CoRR Francesco Setti, Chris Russell, Chiara Bassetti, Marco Cristani
2014	—	`conf`	Semi-supervised Learning Using an Unsupervised Atlas. ECML/PKDD (2) Nikolaos Pitelis, Chris Russell, Lourdes Agapito
2014	—	`conf`	Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes. ECCV (7) Chris Russell, Rui Yu, Lourdes Agapito
2013	J	`jnl`	Inference Methods for CRFs with Co-occurrence Statistics. Int. J. Comput. Vis. Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
2013	A*	`conf`	Learning a Manifold as an Atlas. CVPR Nikolaos Pitelis, Chris Russell, Lourdes Agapito
2013	A*	`conf`	Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection. CVPR Parthipan Siva, Chris Russell, Tao Xiang, Lourdes Agapito
2012	—	`conf`	Dense Non-rigid Structure from Motion. 3DIMPVT Chris Russell, João Fayad, Lourdes Agapito
2012	A*	`conf`	Dense multibody motion estimation and reconstruction from a handheld camera. ISMAR Anastasios Roussos, Chris Russell, Ravi Garg, Lourdes Agapito
2012	J	`jnl`	Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts CoRR Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr
2012	—	`conf`	In Defence of Negative Mining for Annotating Weakly Labelled Data. ECCV (3) Parthipan Siva, Chris Russell, Tao Xiang
2012	J	`jnl`	Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. Int. J. Comput. Vis. Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr
2011	A*	`conf`	Automated articulated structure and 3D shape recovery from point correspondences. ICCV João Fayad, Chris Russell, Lourdes Agapito
2011	J	`jnl`	Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions CoRR Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr
2011	A	`conf`	Efficient Second Order Multi-Target Tracking with Exclusion Constraints. BMVC Chris Russell, Lourdes Agapito, Francesco Setti
2011	A*	`conf`	Energy based multiple model fitting for non-rigid structure from motion. CVPR Chris Russell, João Fayad, Lourdes Agapito
2010	A*	`conf`	Efficient piecewise learning for conditional random fields. CVPR Karteek Alahari, Chris Russell, Philip H. S. Torr
2010	A	`conf`	Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr
2010	—	`conf`	Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
2010	A	`conf`	Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. BMVC Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr
2010	—	`conf`	What, Where and How Many? Combining Object Detectors and CRFs. ECCV (4) Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr
2009	A*	`conf`	Associative hierarchical CRFs for object class image segmentation. ICCV Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr