Adrien Gaidon

5.2k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Adrien Gaidon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Adrien Gaidon has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Automotive Engineering. Recurrent topics in Adrien Gaidon's work include Advanced Vision and Imaging (16 papers), Human Pose and Action Recognition (10 papers) and Optical measurement and interference techniques (8 papers). Adrien Gaidon is often cited by papers focused on Advanced Vision and Imaging (16 papers), Human Pose and Action Recognition (10 papers) and Optical measurement and interference techniques (8 papers). Adrien Gaidon collaborates with scholars based in United States, France and United Kingdom. Adrien Gaidon's co-authors include Qiao Wang, Eleonora Vig, Yohann Cabon, Zaïd Harchaoui, Cordelia Schmid, Kuan-Hui Lee, Vitor Guizilini, Juan Carlos Niebles, Rareş Ambruş and Ehsan Adeli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Robotics and Automation Letters.

In The Last Decade

Adrien Gaidon

38 papers receiving 1.7k 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.

VirtualWorlds as Proxy for Multi-object Tracking Analysis

2016 567 citations Adrien Gaidon et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Adrien Gaidon United States	19	1.5k	481	248	226	164	40	1.8k
Renjie Liao Canada	20	1.6k 1.1×	461 1.0×	284 1.1×	141 0.6×	451 2.8×	46	2.2k
Haofeng Chen United States	5	1.3k 0.9×	540 1.1×	359 1.4×	178 0.8×	102 0.6×	5	1.7k
Dawei Du United States	22	1.8k 1.3×	529 1.1×	178 0.7×	516 2.3×	200 1.2×	41	2.3k
Fangchen Liu United States	8	1.1k 0.7×	491 1.0×	336 1.4×	119 0.5×	93 0.6×	24	1.5k
Lewei Lu China	9	881 0.6×	328 0.7×	203 0.8×	195 0.9×	116 0.7×	19	1.3k
Wenqi Xian United States	5	1.3k 0.9×	468 1.0×	335 1.4×	135 0.6×	106 0.6×	9	1.6k
Huansheng Song China	16	944 0.7×	170 0.4×	208 0.8×	112 0.5×	201 1.2×	71	1.3k
Shuai Yi China	21	2.4k 1.7×	592 1.2×	241 1.0×	196 0.9×	294 1.8×	47	2.9k
Tao Yang China	22	935 0.6×	203 0.4×	88 0.4×	445 2.0×	139 0.8×	114	1.5k

Countries citing papers authored by Adrien Gaidon

Since Specialization

Citations

This map shows the geographic impact of Adrien Gaidon'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 Adrien Gaidon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Gaidon more than expected).

Fields of papers citing papers by Adrien Gaidon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrien Gaidon. 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 Adrien Gaidon. The network helps show where Adrien Gaidon may publish in the future.

Co-authorship network of co-authors of Adrien Gaidon

This figure shows the co-authorship network connecting the top 25 collaborators of Adrien Gaidon. A scholar is included among the top collaborators of Adrien Gaidon 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 Adrien Gaidon. Adrien Gaidon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Katherine, Dian Chen, Takuya Ikeda, et al.. (2025). OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. 16020–16027.

2.

Kowal, Matthew, Achal Dave, Rareş Ambruş, et al.. (2024). Understanding Video Transformers via Universal Concept Discovery. 10946–10956. 1 indexed citations

3.

Tokmakov, Pavel, Jie Li, & Adrien Gaidon. (2023). Breaking the “Object” in Video Object Segmentation. 22836–22845. 12 indexed citations

4.

Guizilini, Vitor, et al.. (2023). Towards Zero-Shot Scale-Aware Monocular Depth Estimation. 9199–9209. 29 indexed citations

5.

Guizilini, Vitor, et al.. (2023). Robust Self-Supervised Extrinsic Self-Calibration. 1932–1939. 3 indexed citations

6.

Chen, Dian, Jie Li, Vitor Guizilini, Rareş Ambruş, & Adrien Gaidon. (2023). Viewpoint Equivariance for Multi-View 3D Object Detection. 9213–9222. 12 indexed citations

7.

Guizilini, Vitor, et al.. (2022). Full Surround Monodepth From Multiple Cameras. IEEE Robotics and Automation Letters. 7(2). 5397–5404. 39 indexed citations

8.

Guizilini, Vitor, Kuan-Hui Lee, Rareş Ambruş, & Adrien Gaidon. (2022). Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics and Automation Letters. 7(2). 3491–3498. 32 indexed citations

9.

McAllister, Rowan, et al.. (2022). Control-Aware Prediction Objectives for Autonomous Driving. 2022 International Conference on Robotics and Automation (ICRA). 1–8. 8 indexed citations

10.

Ambruş, Rareş, Dennis Park, Wadim Kehl, et al.. (2021). Single-Shot Scene Reconstruction. 5 indexed citations

11.

Cao, Kaidi, Yining Chen, Junwei Lu, et al.. (2021). Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. International Conference on Learning Representations. 2 indexed citations

12.

Liu, Bingbin, Ehsan Adeli, Zhangjie Cao, et al.. (2020). Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics and Automation Letters. 5(2). 3485–3492. 125 indexed citations

13.

Cao, Zhangjie, et al.. (2020). Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. 46 indexed citations

14.

Guizilini, Vitor, Rui Hou, Jie Li, Rareş Ambruş, & Adrien Gaidon. (2020). Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. arXiv (Cornell University). 18 indexed citations

15.

Wang, Mingyu, Negar Mehr, Adrien Gaidon, & Mac Schwager. (2020). Game-Theoretic Planning for Risk-Aware Interactive Agents. 6998–7005. 22 indexed citations

16.

Guizilini, Vitor, Rareş Ambruş, Sudeep Pillai, & Adrien Gaidon. (2019). PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation.. arXiv (Cornell University). 10 indexed citations

17.

Gaidon, Adrien, Zaïd Harchaoui, & C. Schmid. (2013). Temporal Localization of Actions with Actoms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2782–2795. 123 indexed citations

18.

Gaidon, Adrien, Zaïd Harchaoui, & Cordelia Schmid. (2011). Actom sequence models for efficient action detection. HAL (Le Centre pour la Communication Scientifique Directe). 3201–3208. 86 indexed citations

19.

Douze, Matthijs, Adrien Gaidon, Hervé Jeǵou, Marcin Marszałek, & Cordelia Schmid. (2008). INRIA-LEAR'S Video Copy Detection System.. HAL (Le Centre pour la Communication Scientifique Directe). 44 indexed citations

20.

Harzallah, Hedi, Cordelia Schmid, Frédéric Jurie, & Adrien Gaidon. (2008). Classification aided two stage localization. HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations

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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