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ORCIDChris Russell 0001
Christopher Russell 0001
Person information
- affiliation: Amazon Web Services
- affiliation: Alan Turing Institute, London, UK
- affiliation: University of Surrey, Guildford, UK
- affiliation: University of London, University College London, UK
- affiliation: University of London, Queen Mary College, UK
- affiliation: Oxford Brookes University, UK
Other persons with the same name
- Chris Russell 0002 — City University, Centre for Information Behaviour and the Evaluation of Research, London, UK
- Chris Russell 0003 — CareerBuilder, Nocross, Georgia
- Christopher Russell 0002
![[0000-0002-1942-7296]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1942-7296")
— Commonwealth Scientific and Industrial Research Organisation, North Ryde, Australia - Christopher Russell 0003 — University of Leeds, Faculty of Biological Sciences, UK
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2020 – today
- 2024
[i43]Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV. CoRR abs/2403.01569 (2024)- 2023
- [j14]Stephen Law, Rikuo Hasegawa, Brooks Paige, Chris Russell, Andrew Elliott:
Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals. Int. J. Geogr. Inf. Sci. 37(12): 2575-2596 (2023) - [j13]Guillaume Rochette, Chris Russell, Richard Bowden:
Novel View Synthesis of Humans Using Differentiable Rendering. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 374-384 (2023) - [c57]Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell:
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES 2023: 809-833 - [c56]Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar:
Efficient fair PCA for fair representation learning. AISTATS 2023: 5250-5270 - [c55]Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello:
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR 2023: 553-573 - [c54]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:
The Second Monocular Depth Estimation Challenge. CVPR Workshops 2023: 3064-3076 - [c53]Jaime Spencer, Simon Hadfield, Chris Russell, Richard Bowden:
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. ICCV 2023: 15722-15733 - [c52]Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
Learning Adaptive Neighborhoods for Graph Neural Networks. ICCV 2023: 22484-22493 - [c51]Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell:
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023: 31969-31989 - [c50]Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
Translating Images into Maps (Extended Abstract). IJCAI 2023: 6486-6491 - [c49]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:
The Monocular Depth Estimation Challenge. WACV (Workshops) 2023: 623-632 - [i42]Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello:
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CoRR abs/2301.05169 (2023) - [i41]Brent D. Mittelstadt, Sandra Wachter, Chris Russell:
The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default. CoRR abs/2302.02404 (2023) - [i40]Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar:
Efficient fair PCA for fair representation learning. CoRR abs/2302.13319 (2023) - [i39]Guillaume Rochette, Chris Russell, Richard Bowden:
Novel View Synthesis of Humans using Differentiable Rendering. CoRR abs/2303.15880 (2023) - [i38]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:
The Second Monocular Depth Estimation Challenge. CoRR abs/2304.07051 (2023) - [i37]Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell:
A data augmentation perspective on diffusion models and retrieval. CoRR abs/2304.10253 (2023) - [i36]Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
Learning Adaptive Neighborhoods for Graph Neural Networks. CoRR abs/2307.09065 (2023) - [i35]Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. CoRR abs/2307.10713 (2023) - [i34]Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell:
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. CoRR abs/2310.11867 (2023) - 2022
- [j12]Johann Laux, Fabian Stephany, Chris Russell, Sandra Wachter, Brent D. Mittelstadt:
The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising. Big Data Soc. 9(2): 205395172211325 (2022) - [j11]Armin Mustafa, Chris Russell, Adrian Hilton:
4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation. Int. J. Comput. Vis. 130(6): 1583-1606 (2022) - [j10]Nicholas Asher, Lucas de Lara, Soumya Paul, Chris Russell:
Counterfactual Models for Fair and Adequate Explanations. Mach. Learn. Knowl. Extr. 4(2): 316-349 (2022) - [j9]Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. Trans. Mach. Learn. Res. 2022 (2022) - [c48]Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell:
Pairwise Fairness for Ordinal Regression. AISTATS 2022: 3381-3417 - [c47]Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell:
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CVPR 2022: 10400-10411 - [c46]Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
'The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. CVPR 2022: 19506-19515 - [c45]Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski:
Measuring Fairness of Rankings under Noisy Sensitive Information. FAccT 2022: 2263-2279 - [c44]Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel:
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. ICLR 2022 - [c43]Jacob D. Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang:
Active Sampling for Min-Max Fairness. ICML 2022: 53-65 - [c42]Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello:
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML 2022: 18741-18753 - [c41]Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
Translating Images into Maps. ICRA 2022: 9200-9206 - [c40]Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell:
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. NeurIPS 2022 - [c39]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:
Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS 2022 - [i33]Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello:
Score matching enables causal discovery of nonlinear additive noise models. CoRR abs/2203.04413 (2022) - [i32]Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell:
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CoRR abs/2203.04913 (2022) - [i31]Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. CoRR abs/2204.02944 (2022) - [i30]Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell:
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. CoRR abs/2204.04440 (2022) - [i29]Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox:
Pixel-level Correspondence for Self-Supervised Learning from Video. CoRR abs/2207.03866 (2022) - [i28]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:
Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR abs/2207.09239 (2022) - [i27]Jaime Spencer Martin, Chris Russell, Simon Hadfield, Richard Bowden:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. CoRR abs/2208.01489 (2022) - [i26]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:
The Monocular Depth Estimation Challenge. CoRR abs/2211.12174 (2022) - 2021
- [j8]Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI. Comput. Law Secur. Rev. 41: 105567 (2021) - [j7]Silvia Milano, Brent D. Mittelstadt, Sandra Wachter, Christopher Russell:
Epistemic fragmentation poses a threat to the governance of online targeting. Nat. Mach. Intell. 3(6): 466-472 (2021) - [c38]Nicholas Asher, Soumya Paul, Chris Russell:
Fair and Adequate Explanations. CD-MAKE 2021: 79-97 - [c37]Andrew Elliott, Stephen Law, Chris Russell:
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. CVPR 2021: 10693-10702 - [c36]Guillaume Rochette, Chris Russell, Richard Bowden:
Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering. FG 2021: 1-8 - [c35]Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden:
Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation. ICRA 2021: 5133-5139 - [i25]Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell:
Pairwise Fairness for Ordinal Regression. CoRR abs/2105.03153 (2021) - [i24]Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel:
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. CoRR abs/2107.08221 (2021) - [i23]Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden:
Translating Images into Maps. CoRR abs/2110.00966 (2021) - [i22]Guillaume Rochette, Chris Russell, Richard Bowden:
Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering. CoRR abs/2111.12731 (2021) - 2020
- [c34]Herman Yau, Chris Russell, Simon Hadfield:
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes. NeurIPS 2020 - [i21]Nicholas Asher, Soumya Paul, Chris Russell:
Adequate and fair explanations. CoRR abs/2001.07578 (2020) - [i20]Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI. CoRR abs/2005.05906 (2020) - [i19]Herman Yau, Chris Russell, Simon Hadfield:
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes. CoRR abs/2011.05064 (2020)
2010 – 2019
- 2019
- [j6]Pankaj Pansari, Chris Russell, M. Pawan Kumar:
Linear programming-based submodular extensions for marginal estimation. Comput. Vis. Image Underst. 189 (2019) - [j5]Stephen Law, Brooks Paige, Chris Russell:
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. ACM Trans. Intell. Syst. Technol. 10(5): 54:1-54:19 (2019) - [c33]Guillaume Rochette, Chris Russell, Richard Bowden:
Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. BMVC 2019: 175 - [c32]Chris Russell:
Efficient Search for Diverse Coherent Explanations. FAT 2019: 20-28 - [c31]Brent D. Mittelstadt, Chris Russell, Sandra Wachter:
Explaining Explanations in AI. FAT 2019: 279-288 - [c30]Armin Mustafa, Chris Russell, Adrian Hilton:
U4D: Unsupervised 4D Dynamic Scene Understanding. ICCV 2019: 10422-10431 - [c29]Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva:
Making Decisions that Reduce Discriminatory Impacts. ICML 2019: 3591-3600 - [c28]Chris Russell, Matteo Toso, Neill D. F. Campbell:
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. NeurIPS 2019: 1474-1484 - [i18]Chris Russell:
Efficient Search for Diverse Coherent Explanations. CoRR abs/1901.04909 (2019) - [i17]Armin Mustafa, Chris Russell, Adrian Hilton:
U4D: Unsupervised 4D Dynamic Scene Understanding. CoRR abs/1907.09905 (2019) - [i16]Guillaume Rochette, Chris Russell, Richard Bowden:
Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. CoRR abs/1909.06119 (2019) - [i15]Andrew Elliott, Stephen Law, Chris Russell:
Adversarial Perturbations on the Perceptual Ball. CoRR abs/1912.09405 (2019) - 2018
- [c27]Denis Tomè, Matteo Toso, Lourdes Agapito, Chris Russell:
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. 3DV 2018: 474-483 - [c26]Pankaj Pansari, Chris Russell, M. Pawan Kumar:
Optimal Submodular Extensions for Marginal Estimation. AISTATS 2018: 327-335 - [i14]Pankaj Pansari, Chris Russell, M. Pawan Kumar:
Worst-case Optimal Submodular Extensions for Marginal Estimation. CoRR abs/1801.06490 (2018) - [i13]Joshua R. Loftus, Chris Russell, Matt J. Kusner, Ricardo Silva:
Causal Reasoning for Algorithmic Fairness. CoRR abs/1805.05859 (2018) - [i12]Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva:
Causal Interventions for Fairness. CoRR abs/1806.02380 (2018) - [i11]Stephen Law, Brooks Paige, Chris Russell:
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. CoRR abs/1807.07155 (2018) - [i10]Denis Tomè, Matteo Toso, Lourdes Agapito, Chris Russell:
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. CoRR abs/1808.01525 (2018) - [i9]Brent D. Mittelstadt, Chris Russell, Sandra Wachter:
Explaining Explanations in AI. CoRR abs/1811.01439 (2018) - 2017
- [j4]Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr:
Efficient minimization of higher order submodular functions using monotonic Boolean functions. Discret. Appl. Math. 220: 1-19 (2017) - [c25]Denis Tomè, Chris Russell, Lourdes Agapito:
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. CVPR 2017: 5689-5698 - [c24]Akash Srivastava, Lazar Valkov, Chris Russell, Michael U. Gutmann, Charles Sutton:
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning. NIPS 2017: 3308-3318 - [c23]Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva:
Counterfactual Fairness. NIPS 2017: 4066-4076 - [c22]Chris Russell, Matt J. Kusner, Joshua R. Loftus, Ricardo Silva:
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. NIPS 2017: 6414-6423 - [i8]Denis Tomè, Chris Russell, Lourdes Agapito:
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. CoRR abs/1701.00295 (2017) - [i7]Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva:
Counterfactual Fairness. CoRR abs/1703.06856 (2017) - [i6]Liu-Yin Qi, Rui Yu, Lourdes Agapito, Andrew W. Fitzgibbon, Chris Russell:
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. CoRR abs/1708.01654 (2017) - [i5]Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. CoRR abs/1711.00399 (2017) - 2016
- [c21]Chris Russell, Lourdes Agapito, Rui Yu, Andrew W. Fitzgibbon, Liu-Yin Qi:
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. BMVC 2016 - [c20]Rui Yu, Chris Russell, Lourdes Agapito:
Solving Jigsaw Puzzles with Linear Programming. BMVC 2016 - 2015
- [c19]Anton van den Hengel, Chris Russell, Anthony R. Dick, John W. Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito:
Part-based modelling of compound scenes from images. CVPR 2015: 878-886 - [c18]Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito:
Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. ICCV 2015: 918-926 - [i4]Rui Yu, Chris Russell, Lourdes Agapito:
Solving Jigsaw Puzzles with Linear Programming. CoRR abs/1511.04472 (2015) - 2014
- [j3]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Associative Hierarchical Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1056-1077 (2014) - [c17]Chris Russell, Rui Yu, Lourdes Agapito:
Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes. ECCV (7) 2014: 583-598 - [c16]Nikolaos Pitelis, Chris Russell, Lourdes Agapito:
Semi-supervised Learning Using an Unsupervised Atlas. ECML/PKDD (2) 2014: 565-580 - [i3]Francesco Setti, Chris Russell, Chiara Bassetti, Marco Cristani:
F-formation Detection: Individuating Free-standing Conversational Groups in Images. CoRR abs/1409.2702 (2014) - 2013
- [j2]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Inference Methods for CRFs with Co-occurrence Statistics. Int. J. Comput. Vis. 103(2): 213-225 (2013) - [c15]Nikolaos Pitelis, Chris Russell, Lourdes Agapito:
Learning a Manifold as an Atlas. CVPR 2013: 1642-1649 - [c14]Parthipan Siva, Chris Russell, Tao Xiang, Lourdes Agapito:
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection. CVPR 2013: 3238-3245 - 2012
- [j1]Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr:
Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. Int. J. Comput. Vis. 100(2): 122-133 (2012) - [c13]Chris Russell, João Fayad, Lourdes Agapito:
Dense Non-rigid Structure from Motion. 3DIMPVT 2012: 509-516 - [c12]Parthipan Siva, Chris Russell, Tao Xiang:
In Defence of Negative Mining for Annotating Weakly Labelled Data. ECCV (3) 2012: 594-608 - [c11]Anastasios Roussos, Chris Russell, Ravi Garg, Lourdes Agapito:
Dense multibody motion estimation and reconstruction from a handheld camera. ISMAR 2012: 31-40 - [i2]Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr:
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. CoRR abs/1203.3512 (2012) - 2011
- [c10]Chris Russell, Lourdes Agapito, Francesco Setti:
Efficient Second Order Multi-Target Tracking with Exclusion Constraints. BMVC 2011: 1-11 - [c9]Chris Russell, João Fayad, Lourdes Agapito:
Energy based multiple model fitting for non-rigid structure from motion. CVPR 2011: 3009-3016 - [c8]João Fayad, Chris Russell, Lourdes Agapito:
Automated articulated structure and 3D shape recovery from point correspondences. ICCV 2011: 431-438 - [i1]Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr:
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions. CoRR abs/1109.2304 (2011) - 2010
- [c7]Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr:
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. BMVC 2010: 1-11 - [c6]Karteek Alahari, Chris Russell, Philip H. S. Torr:
Efficient piecewise learning for conditional random fields. CVPR 2010: 895-901 - [c5]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) 2010: 239-253 - [c4]Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr:
What, Where and How Many? Combining Object Detectors and CRFs. ECCV (4) 2010: 424-437 - [c3]Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr:
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI 2010: 501-508
2000 – 2009
- 2009
- [c2]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Associative hierarchical CRFs for object class image segmentation. ICCV 2009: 739-746 - 2007
- [c1]Christopher Russell, Dimitris N. Metaxas, Christophe Restif, Philip H. S. Torr:
Using the Pn Potts model with learning methods to segment live cell images. ICCV 2007: 1-8
Coauthor Index
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