Damien Teney - RankMe

92 papers A* 24A 3Misc 2Journal 51Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Procedural Pretraining: Warming Up Language Models with Abstract Data. CoRR Liangze Jiang, Zachary Shinnick, Anton van den Hengel, Hemanth Saratchandran, Damien Teney
2025	J	`jnl`	AugGen: Synthetic Augmentation Can Improve Discriminative Models. CoRR Parsa Rahimi, Damien Teney, Sébastien Marcel
2025	A*	`conf`	Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. AAAI Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad
2025	J	`jnl`	Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers. CoRR Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Damien Teney, Anton van den Hengel
2025	A*	`conf`	Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild. CVPR Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
2025	J	`jnl`	Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild. CoRR Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
2025	J	`jnl`	How does the optimizer implicitly bias the model merging loss landscape? CoRR Chenxiang Zhang, Alexander Theus, Damien Teney, Antonio Orvieto, Jun Pang, Sjouke Mauw
2025	J	`jnl`	Leaner Transformers: More Heads, Less Depth. CoRR Hemanth Saratchandran, Damien Teney, Simon Lucey
2025	J	`jnl`	Meta-RL Induces Exploration in Language Agents. CoRR Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbic
2025	J	`jnl`	Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection. CoRR Ignacio M. De La Jara, Cristian Rodriguez Opazo, Damien Teney, Damith Ranasinghe, Ehsan Abbasnejad
2025	A*	`conf`	OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? ICML Liangze Jiang, Damien Teney
2025	A*	`conf`	Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. ICLR Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel
2025	J	`jnl`	Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning. CoRR Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Anton van den Hengel, Damien Teney
2024	—	`conf`	A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. NAACL-HLT Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
2024	A	`conf`	Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. WACV Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
2024	J	`jnl`	Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res. Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
2024	A*	`conf`	CulturePark: Boosting Cross-cultural Understanding in Large Language Models. NeurIPS Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024	J	`jnl`	CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024	A*	`conf`	Neural Redshift: Random Networks are not Random Functions. CVPR Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad
2024	J	`jnl`	Neural Redshift: Random Networks are not Random Functions. CoRR Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad
2024	J	`jnl`	OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? CoRR Liangze Jiang, Damien Teney
2024	J	`jnl`	Scalable Ensemble Diversification for OOD Generalization and Detection. CoRR Alexander Rubinstein, Luca Scimeca, Damien Teney, Seong Joon Oh
2024	A*	`conf`	Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. ICML Damien Teney, Jindong Wang, Ehsan Abbasnejad
2024	J	`jnl`	Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. CoRR Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Edison Marrese-Taylor, Hamed Damirchi, Anton van den Hengel
2023	J	`jnl`	A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers. CoRR Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
2023	J	`jnl`	Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. CoRR Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
2023	J	`jnl`	Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. CoRR Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
2023	A*	`conf`	ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
2023	J	`jnl`	Learning Diverse Features in Vision Transformers for Improved Generalization. CoRR Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe, Damien Teney
2023	J	`jnl`	Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks. CoRR Luca Scimeca, Alexander Rubinstein, Armand Mihai Nicolicioiu, Damien Teney, Yoshua Bengio
2023	J	`jnl`	Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. CoRR Damien Teney, Jindong Wang, Ehsan Abbasnejad
2023	J	`jnl`	Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. CoRR Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Armand Mihai Nicolicioiu, Yoshua Bengio
2023	J	`jnl`	Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel
2023	J	`jnl`	ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
2022	A*	`conf`	Active Learning by Feature Mixing. CVPR Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi
2022	J	`jnl`	Active Learning by Feature Mixing. CoRR Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi
2022	J	`jnl`	EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering. CoRR Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney
2022	A*	`conf`	Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
2022	J	`jnl`	ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
2022	—	`conf`	Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
2022	J	`jnl`	Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
2022	A*	`conf`	SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
2022	J	`jnl`	SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
2022	—	`conf`	Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) Aishwarya Agrawal, Damien Teney, Aida Nematzadeh
2021	A*	`conf`	Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
2021	J	`jnl`	Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
2021	J	`jnl`	Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
2021	A*	`conf`	Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. ICCV Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould
2021	J	`jnl`	Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. CoRR Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould
2021	J	`jnl`	Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. CoRR Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel
2021	A*	`conf`	Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	A*	`conf`	Counterfactual Vision and Language Learning. CVPR Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel
2020	A*	`conf`	Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel
2020	—	`conf`	Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	J	`jnl`	Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	—	`conf`	Medical Data Inquiry Using a Question Answering Model. ISBI Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans
2020	A*	`conf`	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
2020	J	`jnl`	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
2020	J	`jnl`	Unshuffling Data for Improved Generalization. CoRR Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	A*	`conf`	V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2020	J	`jnl`	Visual Question Answering with Prior Class Semantics. CoRR Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel
2019	A*	`conf`	Actively Seeking and Learning From Live Data. CVPR Damien Teney, Anton van den Hengel
2019	J	`jnl`	Actively Seeking and Learning from Live Data. CoRR Damien Teney, Anton van den Hengel
2019	J	`jnl`	On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2019	J	`jnl`	V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2018	A*	`conf`	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. CVPR Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang
2018	A*	`conf`	Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. CVPR Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel
2018	A*	`conf`	Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
2018	—	`conf`	Visual Question Answering as a Meta Learning Task. ECCV (15) Damien Teney, Anton van den Hengel
2017	J	`jnl`	Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang
2017	A*	`conf`	Graph-Structured Representations for Visual Question Answering. CVPR Damien Teney, Lingqiao Liu, Anton van den Hengel
2017	J	`jnl`	Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. CoRR Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel
2017	J	`jnl`	Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
2017	J	`jnl`	Visual Question Answering as a Meta Learning Task. CoRR Damien Teney, Anton van den Hengel
2017	J	`jnl`	Visual Question Answering: A Tutorial. IEEE Signal Process. Mag. Damien Teney, Qi Wu, Anton van den Hengel
2017	J	`jnl`	Visual question answering: A survey of methods and datasets. Comput. Vis. Image Underst. Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel
2016	J	`jnl`	Graph-Structured Representations for Visual Question Answering. CoRR Damien Teney, Lingqiao Liu, Anton van den Hengel
2016	—	`conf`	Learning to Extract Motion from Videos in Convolutional Neural Networks. ACCV (5) Damien Teney, Martial Hebert
2016	J	`jnl`	Learning to Extract Motion from Videos in Convolutional Neural Networks. CoRR Damien Teney, Martial Hebert
2016	J	`jnl`	Visual Question Answering: A Survey of Methods and Datasets. CoRR Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel
2016	J	`jnl`	Zero-Shot Visual Question Answering. CoRR Damien Teney, Anton van den Hengel
2015	—	`conf`	A hierarchical Bayesian network for face recognition using 2D and 3D facial data. MLSP Iman Abbasnejad, Damien Teney
2015	A	`conf`	Hand parsing for fine-grained recognition of human grasps in monocular images. IROS Akanksha Saran, Damien Teney, Kris M. Kitani
2015	A*	`conf`	Learning similarity metrics for dynamic scene segmentation. CVPR Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall
2014	J	`jnl`	Multiview feature distributions for object detection and continuous pose estimation. Comput. Vis. Image Underst. Damien Teney, Justus H. Piater
2014	A	`conf`	Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. BMVC Damien Teney, Matthew Brown
2013	—	`conf`	Continuous Pose Estimation in 2D Images at Instance and Category Levels. CRV Damien Teney, Justus H. Piater
2013	Misc	`conf`	Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images. IbPRIA Damien Teney, Justus H. Piater
2013	—	`—`	Probabilistic Models of Visual Appearance For Object Identity, Class, and Pose Inference. Damien Teney
2012	Misc	`conf`	Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences. DICTA Damien Teney, Justus H. Piater
2012	—	`conf`	Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges. 3DIMPVT Damien Teney, Justus H. Piater
2011	—	`conf`	Probabilistic Object Models for Pose Estimation in 2D Images. DAGM-Symposium Damien Teney, Justus H. Piater