Chris Russell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
14
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | EMNLP | LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations. | Harry Mayne, Ryan Othniel Kearns, Yushi Yang, Andrew M. Bean, Eoin D. Delaney, Chris Russell, Adam Mahdi |
| 2024 | CVPR | 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 |
| 2023 | AIES | Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. | Junaid Ali, Matthus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell |
| 2023 | AISTATS | Efficient fair PCA for fair representation learning. | Matthus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar |
| 2023 | CVPR | 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 |
| 2023 | ICCV | Learning Adaptive Neighborhoods for Graph Neural Networks. | Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2023 | ICCV | Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. | Jaime Spencer, Simon Hadfield, Chris Russell, Richard Bowden |
| 2023 | ICML | When do Minimax-fair Learning and Empirical Risk Minimization Coincide? | Harvineet Singh, Matthus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell |
| 2023 | IJCAI | Translating Images into Maps (Extended Abstract). | Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2023 | WACV | The Monocular Depth Estimation Challenge. | 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 | AISTATS | Pairwise Fairness for Ordinal Regression. | Matthus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell |
| 2022 | CVPR | 'The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. | Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2022 | CVPR | Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. | Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthus Kleindessner, Francesco Locatello, Bernhard Schlkopf, Chris Russell |
| 2022 | ICLR | Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. | Lukas Schott, Julius von Kgelgen, Frederik Truble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schlkopf, Francesco Locatello, Wieland Brendel |
| 2022 | ICML | Active Sampling for Min-Max Fairness. | Jacob D. Abernethy, Pranjal Awasthi, Matthus Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang |
| 2022 | ICML | Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. | Paul Rolland, Volkan Cevher, Matthus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schlkopf, Francesco Locatello |
| 2022 | ICRA | Translating Images into Maps. | Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2021 | CVPR | Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. | Andrew Elliott, Stephen Law, Chris Russell |
| 2021 | ICRA | Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation. | Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2019 | BMVC | Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. | Guillaume Rochette, Chris Russell, Richard Bowden |
| 2019 | ICCV | U4D: Unsupervised 4D Dynamic Scene Understanding. | Armin Mustafa, Chris Russell, Adrian Hilton |
| 2019 | ICML | Making Decisions that Reduce Discriminatory Impacts. | Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva |
| 2018 | AISTATS | Optimal Submodular Extensions for Marginal Estimation. | Pankaj Pansari, Chris Russell, M. Pawan Kumar |
| 2017 | CVPR | Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. | Denis Tom, Chris Russell, Lourdes Agapito |
| 2016 | BMVC | Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. | Chris Russell, Lourdes Agapito, Rui Yu, Andrew W. Fitzgibbon, Liu-Yin Qi |
| 2016 | BMVC | Solving Jigsaw Puzzles with Linear Programming. | Rui Yu, Chris Russell, Lourdes Agapito |
| 2015 | CVPR | Part-based modelling of compound scenes from images. | Anton van den Hengel, Chris Russell, Anthony R. Dick, John W. Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito |
| 2015 | ICCV | Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. | Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito |
| 2014 | ECCV | Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes. | Chris Russell, Rui Yu, Lourdes Agapito |
| 2013 | CVPR | Learning a Manifold as an Atlas. | Nikolaos Pitelis, Chris Russell, Lourdes Agapito |
| 2013 | CVPR | Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection. | Parthipan Siva, Chris Russell, Tao Xiang, Lourdes Agapito |
| 2012 | ECCV | In Defence of Negative Mining for Annotating Weakly Labelled Data. | Parthipan Siva, Chris Russell, Tao Xiang |
| 2012 | ISMAR | Dense multibody motion estimation and reconstruction from a handheld camera. | Anastasios Roussos, Chris Russell, Ravi Garg, Lourdes Agapito |
| 2011 | BMVC | Efficient Second Order Multi-Target Tracking with Exclusion Constraints. | Chris Russell, Lourdes Agapito, Francesco Setti |
| 2011 | CVPR | Energy based multiple model fitting for non-rigid structure from motion. | Chris Russell, Joo Fayad, Lourdes Agapito |
| 2011 | ICCV | Automated articulated structure and 3D shape recovery from point correspondences. | Joo Fayad, Chris Russell, Lourdes Agapito |
| 2010 | BMVC | Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. | Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr |
| 2010 | CVPR | Efficient piecewise learning for conditional random fields. | Karteek Alahari, Chris Russell, Philip H. S. Torr |
| 2010 | ECCV | Graph Cut Based Inference with Co-occurrence Statistics. | Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr |
| 2010 | ECCV | What, Where and How Many? Combining Object Detectors and CRFs. | Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr |
| 2010 | UAI | Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. | Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr |
| 2009 | ICCV | Associative hierarchical CRFs for object class image segmentation. | Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr |