Ersin Yumer

6.4k total citations
30 papers, 1.9k citations indexed

About

Ersin Yumer is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ersin Yumer has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ersin Yumer's work include Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (9 papers) and Human Pose and Action Recognition (8 papers). Ersin Yumer is often cited by papers focused on Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (9 papers) and Human Pose and Action Recognition (8 papers). Ersin Yumer collaborates with scholars based in United States, Canada and United Kingdom. Ersin Yumer's co-authors include Shuicheng Yan, Duygu Ceylan, Kalyan Sunkavalli, Radomír Měch, Siddhartha Chaudhuri, Xinchen Yan, Vladimir G. Kim, Evangelos Kalogerakis, Leonidas Guibas and Hao Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ersin Yumer

29 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ersin Yumer United States	17	1.4k	712	631	230	156	30	1.9k
Bernhard Kerbl Austria	12	1.1k 0.8×	502 0.7×	688 1.1×	205 0.9×	81 0.5×	37	1.9k
Nathan Carr United States	24	950 0.7×	820 1.2×	1.0k 1.6×	116 0.5×	66 0.4×	54	1.8k
Shubham Tulsiani United States	17	1.2k 0.8×	696 1.0×	442 0.7×	246 1.1×	156 1.0×	36	1.6k
Mathieu Aubry France	14	1.1k 0.8×	603 0.8×	303 0.5×	184 0.8×	172 1.1×	30	1.6k
Dong Tian United States	21	1.2k 0.9×	494 0.7×	362 0.6×	152 0.7×	95 0.6×	72	1.7k
Chen-Hsuan Lin United States	10	616 0.4×	480 0.7×	421 0.7×	169 0.7×	67 0.4×	26	983
Daniel Ritchie United States	14	574 0.4×	475 0.7×	361 0.6×	160 0.7×	107 0.7×	36	1.1k
Tokiichiro Takahashi Japan	13	764 0.5×	525 0.7×	731 1.2×	67 0.3×	122 0.8×	83	1.4k
Hung‐Kuo Chu Taiwan	15	825 0.6×	394 0.6×	312 0.5×	133 0.6×	33 0.2×	78	1.3k
Siddhartha Chaudhuri United States	24	1.4k 1.0×	1.6k 2.2×	1.0k 1.6×	527 2.3×	95 0.6×	39	2.4k

Countries citing papers authored by Ersin Yumer

Since Specialization

Citations

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

Fields of papers citing papers by Ersin Yumer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ersin Yumer

This figure shows the co-authorship network connecting the top 25 collaborators of Ersin Yumer. A scholar is included among the top collaborators of Ersin Yumer 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 Ersin Yumer. Ersin Yumer 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

Yang, Ze, Shenlong Wang, Sivabalan Manivasagam, et al.. (2021). S³: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. 13279–13288. 46 indexed citations

Chen, Yun, Frieda Rong, Shenlong Wang, et al.. (2021). GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. 7226–7236. 61 indexed citations

Liu, Jerry, Wenyuan Zeng, Raquel Urtasun, & Ersin Yumer. (2021). Deep Structured Reactive Planning. 4897–4904. 18 indexed citations

Liu, Han, Kangxue Yin, Ruizhen Hu, et al.. (2020). FAME: 3D Shape Generation via Functionality-Aware Model Evolution. IEEE Transactions on Visualization and Computer Graphics. 28(4). 1758–1772. 8 indexed citations

Yumer, Ersin, et al.. (2020). Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints. International Conference on Learning Representations. 3 indexed citations

Urtasun, Raquel, et al.. (2020). Hierarchical Verification for Adversarial Robustness. arXiv (Cornell University). 1. 6072–6082.

Wang, He, Sören Pirk, Ersin Yumer, et al.. (2019). Learning a Generative Model for Multi‐Step Human‐Object Interactions from Videos. Computer Graphics Forum. 38(2). 367–378. 8 indexed citations

Vo, Minh, Ersin Yumer, Kalyan Sunkavalli, et al.. (2018). Automatic Adaptation of Person Association for Multiview Tracking in Group Activities. arXiv (Cornell University). 2 indexed citations

Mitra, Niloy J., Tobias Ritschel, Iasonas Kokkinos, et al.. (2018). Deep Learning for Graphics. Eurographics. 13–15. 1 indexed citations

10.

Yumer, Ersin, et al.. (2018). Learning Design Semantics for Mobile Apps. 569–579. 85 indexed citations

11.

Tung, Hsiao-Yu Fish, et al.. (2017). Self-supervised learning of motion capture. Neural Information Processing Systems. 30. 5242–5252. 44 indexed citations

12.

Park, Eunbyung, Shuicheng Yan, Ersin Yumer, Duygu Ceylan, & Alexander C. Berg. (2017). Transformation-Grounded Image Generation Network for Novel 3D View Synthesis. 702–711. 150 indexed citations

13.

Zou, Chuhang, Ersin Yumer, Shuicheng Yan, Duygu Ceylan, & Derek Hoiem. (2017). 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. 900–909. 117 indexed citations

14.

Shu, Zhixin, Ersin Yumer, Sunil Hadap, et al.. (2017). Neural Face Editing with Intrinsic Image Disentangling. 5444–5453. 167 indexed citations

15.

Li, Jun, Kai Xu, Siddhartha Chaudhuri, et al.. (2017). GRASS. ACM Transactions on Graphics. 36(4). 1–14. 181 indexed citations

16.

Yang, Xiao, et al.. (2017). Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks. 4342–4351. 119 indexed citations

17.

Yumer, Ersin, et al.. (2017). Skippy. ACM Transactions on Graphics. 36(4). 1–12. 11 indexed citations

18.

Gardner, Marc-André, Kalyan Sunkavalli, Ersin Yumer, et al.. (2017). Learning to predict indoor illumination from a single image. ACM Transactions on Graphics. 36(6). 1–14. 183 indexed citations

19.

Huang, Haibin, Evangelos Kalogerakis, Siddhartha Chaudhuri, et al.. (2017). Learning local shape descriptors with view-based convolutional networks. 2 indexed citations

20.

Huang, Haibin, Evangelos Kalogerakis, Siddhartha Chaudhuri, et al.. (2017). Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks. ACM Transactions on Graphics. 37(1). 1–14. 96 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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