Suryansh Kumar

739 total citations
25 papers, 311 citations indexed

About

Suryansh Kumar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Suryansh Kumar has authored 25 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Suryansh Kumar's work include Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (9 papers) and Computer Graphics and Visualization Techniques (6 papers). Suryansh Kumar is often cited by papers focused on Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (9 papers) and Computer Graphics and Visualization Techniques (6 papers). Suryansh Kumar collaborates with scholars based in United States, Belgium and India. Suryansh Kumar's co-authors include Yuchao Dai, Hongdong Li, Luc Van Gool, K. Madhava Krishna, Fisher Yu, Vittorio Ferrari, Anoop Cherian, Alexander Liniger, Guohao Li and Bernard Ghanem and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Suryansh Kumar

23 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suryansh Kumar United States	11	248	105	67	50	46	25	311
Tristan Laidlow United Kingdom	6	280 1.1×	146 1.4×	69 1.0×	75 1.5×	77 1.7×	8	370
Haotong Lin China	7	229 0.9×	107 1.0×	87 1.3×	78 1.6×	41 0.9×	15	337
Shangzhe Wu United Kingdom	8	326 1.3×	65 0.6×	103 1.5×	174 3.5×	42 0.9×	18	411
Andréas Meuleman South Korea	7	178 0.7×	60 0.6×	82 1.2×	34 0.7×	25 0.5×	13	228
Qingan Yan China	15	325 1.3×	117 1.1×	102 1.5×	127 2.5×	111 2.4×	26	440
Noha Radwan United States	3	323 1.3×	63 0.6×	194 2.9×	124 2.5×	34 0.7×	10	382
Kangle Deng United States	4	425 1.7×	90 0.9×	243 3.6×	152 3.0×	45 1.0×	5	509
Martin Lambers Germany	8	299 1.2×	223 2.1×	54 0.8×	31 0.6×	104 2.3×	26	402
Haithem Turki United States	6	204 0.8×	56 0.5×	120 1.8×	67 1.3×	39 0.8×	7	294
Maik Keller Germany	5	289 1.2×	196 1.9×	96 1.4×	57 1.1×	103 2.2×	7	372

Countries citing papers authored by Suryansh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Suryansh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suryansh Kumar

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

Kumar, Suryansh. (2025). Mobile robotic multi-view photometric stereo. ISPRS Journal of Photogrammetry and Remote Sensing. 223. 15–27. 1 indexed citations

Kumar, Suryansh, et al.. (2024). Attention based ConVnet-Recurrent Neural Network for Facial Recognition and Emotion Detection. 1–5.

Kumar, Suryansh, et al.. (2023). Uncertainty-Driven Dense Two-View Structure From Motion. IEEE Robotics and Automation Letters. 8(3). 1763–1770. 3 indexed citations

Chen, Junting, Guohao Li, Suryansh Kumar, Bernard Ghanem, & Fisher Yu. (2023). How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. 20 indexed citations

Liu, Ce, Suryansh Kumar, Shuhang Gu, Radu Timofte, & Luc Van Gool. (2023). Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. 17346–17356. 10 indexed citations

Jain, Nishant, Suryansh Kumar, & Luc Van Gool. (2023). Enhanced Stable View Synthesis. 13208–13217. 3 indexed citations

Jain, Nishant, Suryansh Kumar, & Luc Van Gool. (2023). Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. International Journal of Computer Vision. 132(4). 1310–1335. 3 indexed citations

Kumar, Suryansh, et al.. (2023). Quantum Annealing for Single Image Super-Resolution. 1150–1159. 2 indexed citations

Liniger, Alexander, et al.. (2022). Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields. IEEE Robotics and Automation Letters. 7(4). 12070–12077. 43 indexed citations

10.

Kumar, Suryansh, et al.. (2022). Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2304–2314. 7 indexed citations

11.

Kumar, Suryansh, et al.. (2022). Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3967–3979. 21 indexed citations

12.

Kumar, Suryansh, et al.. (2022). Uncertainty-Aware Deep Multi-View Photometric Stereo. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12591–12601. 22 indexed citations

13.

Huang, Zhiwu, et al.. (2022). Generative Flows with Invertible Attentions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7 indexed citations

14.

Kumar, Suryansh. (2019). A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited.. arXiv (Cornell University). 1 indexed citations

15.

Kumar, Suryansh, Yuchao Dai, & Hongdong Li. (2019). Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(5). 1705–1717. 21 indexed citations

16.

Kumar, Suryansh, Yuchao Dai, & Hongdong Li. (2017). Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion. Pattern Recognition. 71. 428–443. 31 indexed citations

17.

Kumar, Suryansh, Yuchao Dai, & Hongdong Li. (2016). Multi-Body Non-Rigid Structure-from-Motion. ANU Open Research (Australian National University). 148–156. 20 indexed citations

18.

Kumar, Suryansh, et al.. (2014). CRF Based Frontier Detection using Monocular Camera. 1–7. 2 indexed citations

19.

Kumar, Suryansh, et al.. (2014). Markov Random Field based small obstacle discovery over images. 18 indexed citations

20.

Kumar, Suryansh, et al.. (2014). Small Object Discovery and Recognition Using Actively Guided Robot. 8. 4334–4339. 9 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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