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Damien Teney
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2020 – today
- 2024
- [j4]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) - [c35]Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad:
Neural Redshift: Random Networks are not Random Functions. CVPR 2024: 4786-4796 - [c34]Damien Teney, Jindong Wang, Ehsan Abbasnejad:
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. ICML 2024 - [c33]Jordan Meadows, Marco Valentino, Damien Teney, André Freitas:
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. NAACL-HLT 2024: 1505-1523 - [c32]Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould:
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. WACV 2024: 5741-5750 - [i38]Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad:
Neural Redshift: Random Networks are not Random Functions. CoRR abs/2403.02241 (2024) - [i37]Cheng Li, Damien Teney, Linyi Yang
, Qingsong Wen, Xing Xie, Jindong Wang:
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR abs/2405.15145 (2024) - [i36]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 abs/2405.17139 (2024) - [i35]Alexander Rubinstein, Luca Scimeca, Damien Teney, Seong Joon Oh:
Scalable Ensemble Diversification for OOD Generalization and Detection. CoRR abs/2409.16797 (2024) - [i34]Liangze Jiang, Damien Teney:
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? CoRR abs/2410.02735 (2024) - 2023
- [c31]Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS 2023 - [i33]Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould:
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. CoRR abs/2303.16604 (2023) - [i32]Jordan Meadows, Marco Valentino, Damien Teney, André Freitas:
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers. CoRR abs/2305.12563 (2023) - [i31]Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould:
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. CoRR abs/2305.16304 (2023) - [i30]Damien Teney, Jindong Wang, Ehsan Abbasnejad:
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. CoRR abs/2305.16817 (2023) - [i29]Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe, Damien Teney:
Learning Diverse Features in Vision Transformers for Improved Generalization. CoRR abs/2308.16274 (2023) - [i28]Luca Scimeca
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks. CoRR abs/2310.02230 (2023) - [i27]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 abs/2310.05143 (2023) - [i26]Luca Scimeca
Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. CoRR abs/2311.16176 (2023) - [i25]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 abs/2311.17949 (2023) - 2022
- [c30]Aishwarya Agrawal, Damien Teney, Aida Nematzadeh:
Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) 2022: 38-43 - [c29]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi
Active Learning by Feature Mixing. CVPR 2022: 12227-12236 - [c28]Damien Teney, Ehsan Abbasnejad, Simon Lucey
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR 2022: 16740-16751 - [c27]Damien Teney, Maxime Peyrard, Ehsan Abbasnejad:
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) 2022: 458-476 - [c26]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 - [i24]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi
Active Learning by Feature Mixing. CoRR abs/2203.07034 (2022) - [i23]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 abs/2206.14355 (2022) - [i22]Damien Teney, Maxime Peyrard, Ehsan Abbasnejad:
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR abs/2207.02598 (2022) - [i21]Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR abs/2209.00613 (2022) - [i20]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 abs/2211.02291 (2022) - 2021
- [c25]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV 2021: 1397-1407 - [c24]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV 2021: 1554-1563 - [c23]Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. ICCV 2021: 2105-2114 - [i19]Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. CoRR abs/2101.06013 (2021) - [i18]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR abs/2104.03149 (2021) - [i17]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 abs/2105.05612 (2021) - [i16]Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. CoRR abs/2108.04024 (2021) - 2020
- [c22]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI 2020: 12071-12078 - [c21]Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi
Counterfactual Vision and Language Learning. CVPR 2020: 10041-10051 - [c20]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) 2020: 580-599 - [c19]Zhibin Liao, Lingqiao Liu
Medical Data Inquiry Using a Question Answering Model. ISBI 2020: 1490-1493 - [c18]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS 2020 - [c17]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 - [i15]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization. CoRR abs/2002.11894 (2020) - [i14]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR abs/2004.09034 (2020) - [i13]Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Prior Class Semantics. CoRR abs/2005.01239 (2020) - [i12]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 abs/2005.09241 (2020)
2010 – 2019
- 2019
- [c16]Damien Teney, Anton van den Hengel
Actively Seeking and Learning From Live Data. CVPR 2019: 1940-1949 - [i11]Damien Teney, Anton van den Hengel:
Actively Seeking and Learning from Live Data. CoRR abs/1904.02865 (2019) - [i10]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 abs/1907.12271 (2019) - [i9]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR abs/1909.13471 (2019) - 2018
- [c15]Peter Anderson
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR 2018: 3674-3683 - [c14]Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. CVPR 2018: 4223-4232 - [c13]Peter Anderson
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. CVPR 2018: 6077-6086 - [c12]Damien Teney
Visual Question Answering as a Meta Learning Task. ECCV (15) 2018: 229-245 - 2017
- [j3]Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick
Visual question answering: A survey of methods and datasets. Comput. Vis. Image Underst. 163: 21-40 (2017) - [j2]Damien Teney
Visual Question Answering: A Tutorial. IEEE Signal Process. Mag. 34(6): 63-75 (2017) - [c11]Damien Teney, Lingqiao Liu
Graph-Structured Representations for Visual Question Answering. CVPR 2017: 3233-3241 - [i8]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 abs/1707.07998 (2017) - [i7]Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. CoRR abs/1708.02711 (2017) - [i6]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 abs/1711.07280 (2017) - [i5]Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. CoRR abs/1711.08105 (2017) - 2016
- [c10]Damien Teney, Martial Hebert:
Learning to Extract Motion from Videos in Convolutional Neural Networks. ACCV (5) 2016: 412-428 - [i4]Damien Teney, Martial Hebert:
Learning to Extract Motion from Videos in Convolutional Neural Networks. CoRR abs/1601.07532 (2016) - [i3]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 abs/1607.05910 (2016) - [i2]Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. CoRR abs/1609.05600 (2016) - [i1]Damien Teney, Anton van den Hengel:
Zero-Shot Visual Question Answering. CoRR abs/1611.05546 (2016) - 2015
- [c9]Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall
Learning similarity metrics for dynamic scene segmentation. CVPR 2015: 2084-2093 - [c8]Akanksha Saran, Damien Teney, Kris M. Kitani:
Hand parsing for fine-grained recognition of human grasps in monocular images. IROS 2015: 5052-5058 - [c7]Iman Abbasnejad, Damien Teney:
A hierarchical Bayesian network for face recognition using 2D and 3D facial data. MLSP 2015: 1-6 - 2014
- [j1]Damien Teney, Justus H. Piater
Multiview feature distributions for object detection and continuous pose estimation. Comput. Vis. Image Underst. 125: 265-282 (2014) - [c6]Damien Teney, Matthew Brown:
Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. BMVC 2014 - 2013
- [b1]Damien Teney:
Probabilistic Models of Visual Appearance For Object Identity, Class, and Pose Inference. University of Liège, Belgium, 2013 - [c5]Damien Teney, Justus H. Piater
Continuous Pose Estimation in 2D Images at Instance and Category Levels. CRV 2013: 121-127 - [c4]Damien Teney, Justus H. Piater
Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images. IbPRIA 2013: 59-68 - 2012
- [c3]Damien Teney, Justus H. Piater
Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges. 3DIMPVT 2012: 160-167 - [c2]Damien Teney, Justus H. Piater
Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences. DICTA 2012: 1-8 - 2011
- [c1]Damien Teney, Justus H. Piater
Probabilistic Object Models for Pose Estimation in 2D Images. DAGM-Symposium 2011: 336-345
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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