Vincent Casser

1.2k total citations · 1 hit paper
8 papers, 544 citations indexed

About

Vincent Casser is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Vincent Casser has authored 8 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Environmental Engineering and 2 papers in Aerospace Engineering. Recurrent topics in Vincent Casser's work include Advanced Neural Network Applications (3 papers), Robotic Path Planning Algorithms (3 papers) and Advanced Vision and Imaging (2 papers). Vincent Casser is often cited by papers focused on Advanced Neural Network Applications (3 papers), Robotic Path Planning Algorithms (3 papers) and Advanced Vision and Imaging (2 papers). Vincent Casser collaborates with scholars based in United States, Germany and Saudi Arabia. Vincent Casser's co-authors include Henrik Kretzschmar, Xinchen Yan, Pratul P. Srinivasan, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron, Neil Smith, Bernard Ghanem, Jean Lahoud and Matthias Müller and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Vincent Casser

8 papers receiving 529 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.

Block-NeRF: Scalable Large Scene Neural View Synthesis

2022 413 citations Matthew Tancik, Vincent Casser et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent Casser United States	5	397	183	122	113	61	8	544
Naty Hoffman United States	9	314 0.8×	251 1.4×	63 0.5×	138 1.2×	45 0.7×	14	554
Shuaifeng Zhi China	9	329 0.8×	78 0.4×	142 1.2×	129 1.1×	99 1.6×	26	487
Lars Mescheder Germany	7	486 1.2×	126 0.7×	66 0.5×	147 1.3×	33 0.5×	8	630
Qiangeng Xu United States	7	537 1.4×	232 1.3×	168 1.4×	328 2.9×	187 3.1×	7	771
Haiyu Zhao Singapore	9	878 2.2×	106 0.6×	65 0.5×	251 2.2×	162 2.7×	14	1.2k
David Hafner Germany	5	594 1.5×	84 0.5×	142 1.2×	44 0.4×	49 0.8×	11	712
Zhixin Shu United States	13	824 2.1×	335 1.8×	62 0.5×	282 2.5×	59 1.0×	27	963
Noa Fish Israel	9	454 1.1×	283 1.5×	65 0.5×	506 4.5×	147 2.4×	12	760
Kangxue Yin Canada	12	467 1.2×	361 2.0×	54 0.4×	363 3.2×	75 1.2×	16	725
Zaiwei Zhang United States	9	187 0.5×	58 0.3×	79 0.6×	165 1.5×	121 2.0×	12	384

Countries citing papers authored by Vincent Casser

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Casser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Casser

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Casser. A scholar is included among the top collaborators of Vincent Casser 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 Vincent Casser. Vincent Casser 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:

8 of 8 papers shown

1.

Hung, Wei-Chih, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, & Dragomir Anguelov. (2024). LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. 8272–8279. 3 indexed citations

2.

Zhu, Alex Zihao, et al.. (2022). Instance Segmentation with Cross-Modal Consistency. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). abs/1703. 10277. 2009–2016. 2 indexed citations

3.

Tancik, Matthew, Vincent Casser, Xinchen Yan, et al.. (2022). Block-NeRF: Scalable Large Scene Neural View Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8238–8248. 413 indexed citations breakdown →

4.

Casser, Vincent, Kai Kang, Hanspeter Pfister, & Daniel Haehn. (2020). Fast Mitochondria Detection for Connectomics. 111–120. 12 indexed citations

5.

Li, Guohao, Matthias Mueller, Vincent Casser, et al.. (2018). Teaching UAVs to Race With Observational Imitation Learning. arXiv (Cornell University). 9 indexed citations

6.

Müller, Matthias, Vincent Casser, Jean Lahoud, Neil Smith, & Bernard Ghanem. (2018). Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. International Journal of Computer Vision. 126(9). 902–919. 99 indexed citations

7.

Müller, Matthias, Vincent Casser, Neil Smith, Dominik L. Michels, & Bernard Ghanem. (2017). Teaching UAVs to Race Using Sim4CV. arXiv (Cornell University). 2 indexed citations

8.

Mueller, Matthias, Vincent Casser, Neil Smith, Dominik L. Michels, & Bernard Ghanem. (2017). Teaching UAVs to Race Using UE4Sim. 4 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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