Damien Teney

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 63

Top Topics

Image Retrieval

Question Answering

Top Venues

Publications

Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. WACV (2024)
Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. NAACL-HLT (2024)
Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Edison Marrese-Taylor, Hamed Damirchi, Anton van den Hengel
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. CoRR (2024)
Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad
Neural Redshift: Random Networks are not Random Functions. CoRR (2024)
Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res. 2024 (2024)
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR (2024)
Damien Teney, Jindong Wang, Ehsan Abbasnejad
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. CoRR (2023)
Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. CoRR (2023)
Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR (2023)
Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Armand Mihai Nicolicioiu, Yoshua Bengio
Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. CoRR (2023)
Luca Scimeca, Alexander Rubinstein, Armand Mihai Nicolicioiu, Damien Teney, Yoshua Bengio
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks. CoRR (2023)
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS (2023)
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR (2023)
Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. CoRR (2023)
Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe, Damien Teney
Learning Diverse Features in Vision Transformers for Improved Generalization. CoRR (2023)
Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers. CoRR (2023)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi
Active Learning by Feature Mixing. CoRR (2022)
Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) (2022)
Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering. CoRR (2022)
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR (2022)
Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR (2022)
Aishwarya Agrawal, Damien Teney, Aida Nematzadeh
Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) (2022)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi
Active Learning by Feature Mixing. CVPR (2022)
Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR (2022)
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR (2022)
Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS (2022)
Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. CoRR (2021)
Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. CoRR (2021)
Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. ICCV (2021)
Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV (2021)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV (2021)
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR (2021)
Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR (2021)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS (2020)
Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel
Visual Question Answering with Prior Class Semantics. CoRR (2020)
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS (2020)
Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans
Medical Data Inquiry Using a Question Answering Model. ISBI (2020)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Unshuffling Data for Improved Generalization. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) (2020)
Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI (2020)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR (2020)
Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel
Counterfactual Vision and Language Learning. CVPR (2020)
Damien Teney, Anton van den Hengel
Actively Seeking and Learning from Live Data. CoRR (2019)
Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR (2019)
Damien Teney, Anton van den Hengel
Actively Seeking and Learning From Live Data. CVPR (2019)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR (2019)
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. CVPR (2018)
Damien Teney, Anton van den Hengel
Visual Question Answering as a Meta Learning Task. ECCV (15) (2018)
Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. CVPR (2018)
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR (2018)
Damien Teney, Qi Wu, Anton van den Hengel
Visual Question Answering: A Tutorial. IEEE Signal Process. Mag. 34 (6) (2017)
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR (2017)
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang
Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR (2017)
Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. CoRR (2017)
Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel
Visual question answering: A survey of methods and datasets. Comput. Vis. Image Underst. 163 (2017)
Damien Teney, Anton van den Hengel
Visual Question Answering as a Meta Learning Task. CoRR (2017)
Damien Teney, Lingqiao Liu, Anton van den Hengel
Graph-Structured Representations for Visual Question Answering. CVPR (2017)
Damien Teney, Anton van den Hengel
Zero-Shot Visual Question Answering. CoRR (2016)
Damien Teney, Martial Hebert
Learning to Extract Motion from Videos in Convolutional Neural Networks. CoRR (2016)
Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel
Visual Question Answering: A Survey of Methods and Datasets. CoRR (2016)
Damien Teney, Lingqiao Liu, Anton van den Hengel
Graph-Structured Representations for Visual Question Answering. CoRR (2016)
Damien Teney, Martial Hebert
Learning to Extract Motion from Videos in Convolutional Neural Networks. ACCV (5) (2016)
Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall
Learning similarity metrics for dynamic scene segmentation. CVPR (2015)
Akanksha Saran, Damien Teney, Kris M. Kitani
Hand parsing for fine-grained recognition of human grasps in monocular images. IROS (2015)
Iman Abbasnejad, Damien Teney
A hierarchical Bayesian network for face recognition using 2D and 3D facial data. MLSP (2015)
Damien Teney, Justus H. Piater
Multiview feature distributions for object detection and continuous pose estimation. Comput. Vis. Image Underst. 125 (2014)
Damien Teney, Matthew Brown
Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. BMVC (2014)
Damien Teney, Justus H. Piater
Continuous Pose Estimation in 2D Images at Instance and Category Levels. CRV (2013)
Damien Teney, Justus H. Piater
Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images. IbPRIA (2013)
Damien Teney, Justus H. Piater
Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences. DICTA (2012)
Damien Teney, Justus H. Piater
Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges. 3DIMPVT (2012)
Damien Teney, Justus H. Piater
Probabilistic Object Models for Pose Estimation in 2D Images. DAGM-Symposium (2011)