Damien Teney

7.2k total citations · 1 hit paper
29 papers, 3.8k citations indexed

About

Damien Teney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Damien Teney has authored 29 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Damien Teney's work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Damien Teney is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Damien Teney collaborates with scholars based in Australia, Switzerland and United States. Damien Teney's co-authors include Stephen Jay Gould, Chris Buehler, Peter Anderson, Mark Johnson, Xiaodong He, Lei Zhang, Anton van den Hengel, Qi Wu, Ehsan Abbasnejad and Chunhua Shen and has published in prestigious journals such as IEEE Signal Processing Magazine, Computer Vision and Image Understanding and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Damien Teney

25 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

2018 3.0k citations Peter Anderson, Xiaodong He et al. ANU Open Research (Australian National University) profile →

Peers

Countries citing papers authored by Damien Teney

Since Specialization

Citations

This map shows the geographic impact of Damien Teney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Damien Teney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damien Teney more than expected).

Fields of papers citing papers by Damien Teney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damien Teney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Damien Teney. The network helps show where Damien Teney may publish in the future.

Co-authorship network of co-authors of Damien Teney

This figure shows the co-authorship network connecting the top 25 collaborators of Damien Teney. A scholar is included among the top collaborators of Damien Teney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Damien Teney. Damien Teney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Bao Gia Doan, Afshar Shamsi, Xiaoyu Guo, Arash Mohammadi, Hamid Alinejad‐Rokny, Dino Sejdinović, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad	0
2	A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers 2024 ·(unknown), (unknown), Damien Teney, André Freitas	0
3	Neural Redshift: Random Networks are not Random Functions 2024 ·Damien Teney, (unknown), (unknown), Ehsan Abbasnejad	5
4	Bi-directional Training for Composed Image Retrieval via Text Prompt Learning 2024 ·Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Jay Gould	14
5	SelecMix: Debiased Learning by Contradicting-Pair Sampling 2022 ·(unknown), Jin-Hwa Kim, (unknown), (unknown), (unknown), Damien Teney, (unknown)	0
6	Active Learning by Feature Mixing 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·(unknown), Ehsan Abbasnejad, Damien Teney, (unknown), Anton van den Hengel, Qinfeng Shi	65
7	Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in\n Visual Question Answering 2021 ·arXiv (Cornell University) ·Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord	41
8	Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Corentin Dancette, Rémi Cadène, Damien Teney, (unknown)	0
9	Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Zheyuan Liu, Cristian Rodríguez-Opazo, Damien Teney, Stephen Jay Gould	102
10	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law 2020 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel	7
11	Counterfactual Vision-and-Language Navigation: Unravelling the Unseen 2020 ·Neural Information Processing Systems ·(unknown), Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel	13
12	Actively Seeking and Learning From Live Data 2019 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·Damien Teney, Anton van den Hengel	10
13	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering breakdown → 2018 ·ANU Open Research (Australian National University) ·Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Jay Gould, Lei Zhang	2973
14	Bottom-Up and Top-Down Attention for Image Captioning and VQA. 2017 ·arXiv (Cornell University) ·Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Jay Gould, Lei Zhang	144
15	Visual Question Answering: A Tutorial 2017 ·IEEE Signal Processing Magazine ·Damien Teney, Qi Wu, Anton van den Hengel	24
16	A hierarchical Bayesian network for face recognition using 2D and 3D facial data 2015 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·(unknown), Damien Teney	6
17	Hand parsing for fine-grained recognition of human grasps in monocular images 2015 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·(unknown), Damien Teney, Kris Kitani	8
18	Multiview feature distributions for object detection and continuous pose estimation 2014 ·Computer Vision and Image Understanding ·Damien Teney, Justus Piater	17
19	Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences 2012 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·Damien Teney, Justus Piater	3
20	Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges 2012 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·Damien Teney, Justus Piater	7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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