| 2025 | AAAI | Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. | Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad |
| 2025 | CVPR | Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild. | Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad |
| 2025 | ICLR | Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. | Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel |
| 2025 | ICML | OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? | Liangze Jiang, Damien Teney |
| 2024 | CVPR | Neural Redshift: Random Networks are not Random Functions. | Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad |
| 2024 | ICML | Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. | Damien Teney, Jindong Wang, Ehsan Abbasnejad |
| 2024 | NAACL | A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. | Jordan Meadows, Marco Valentino, Damien Teney, Andr Freitas |
| 2024 | WACV | Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. | Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould |
| 2022 | ACL | Vision-Language Pretraining: Current Trends and the Future. | Aishwarya Agrawal, Damien Teney, Aida Nematzadeh |
| 2022 | CVPR | Active Learning by Feature Mixing. | Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi |
| 2022 | CVPR | Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. | Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel |
| 2022 | ECCV | Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. | Damien Teney, Maxime Peyrard, Ehsan Abbasnejad |
| 2021 | ICCV | Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. | Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould |
| 2021 | ICCV | Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. | Corentin Dancette, Rmi Cadne, Damien Teney, Matthieu Cord |
| 2021 | ICCV | Unshuffling Data for Improved Generalization in Visual Question Answering. | Damien Teney, Ehsan Abbasnejad, Anton van den Hengel |
| 2020 | AAAI | V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. | Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2020 | CVPR | Counterfactual Vision and Language Learning. | Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel |
| 2020 | ECCV | Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. | Damien Teney, Ehsan Abbasnejad, Anton van den Hengel |
| 2019 | CVPR | Actively Seeking and Learning From Live Data. | Damien Teney, Anton van den Hengel |
| 2018 | CVPR | Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. | Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang |
| 2018 | CVPR | Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. | Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Snderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel |
| 2018 | CVPR | Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. | Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel |
| 2018 | ECCV | Visual Question Answering as a Meta Learning Task. | Damien Teney, Anton van den Hengel |
| 2017 | CVPR | Graph-Structured Representations for Visual Question Answering. | Damien Teney, Lingqiao Liu, Anton van den Hengel |
| 2016 | ACCV | Learning to Extract Motion from Videos in Convolutional Neural Networks. | Damien Teney, Martial Hebert |
| 2015 | CVPR | Learning similarity metrics for dynamic scene segmentation. | Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall |
| 2015 | IROS | Hand parsing for fine-grained recognition of human grasps in monocular images. | Akanksha Saran, Damien Teney, Kris M. Kitani |
| 2014 | BMVC | Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. | Damien Teney, Matthew Brown |
| 2013 | IBPRIA | Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images. | Damien Teney, Justus H. Piater |
| 2012 | DICTA | Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences. | Damien Teney, Justus H. Piater |