Yash Bhalgat

451 total citations
8 papers, 139 citations indexed

About

Yash Bhalgat is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Yash Bhalgat has authored 8 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Yash Bhalgat's work include Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Yash Bhalgat is often cited by papers focused on Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Yash Bhalgat collaborates with scholars based in United Kingdom, South Korea and Canada. Yash Bhalgat's co-authors include Markus Nagel, Nojun Kwak, Tijmen Blankevoort, Jinwon Lee, Hannah Rose Kirk, Max Bain, Yifu Tao, Nived Chebrolu, Maurice Fallon and João F. Henriques and has published in prestigious journals such as Seoul National University Open Repository (Seoul National University), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Neural Information Processing Systems.

In The Last Decade

Yash Bhalgat

7 papers receiving 132 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yash Bhalgat United Kingdom	4	100	72	19	18	9	8	139
Oren Rippel United States	3	94 0.9×	84 1.2×	17 0.9×	5 0.3×	6 0.7×	4	164
Angelos Katharopoulos Switzerland	4	89 0.9×	75 1.0×	16 0.8×	15 0.8×	2 0.2×	4	162
Niv Giladi Israel	2	73 0.7×	76 1.1×	18 0.9×	8 0.4×	19 2.1×	3	162
Kaixiong Gong China	5	157 1.6×	212 2.9×	8 0.4×	8 0.4×	10 1.1×	11	277
Jinnian Zhang China	6	62 0.6×	36 0.5×	36 1.9×	11 0.6×	2 0.2×	9	125
Mary Phuong Austria	4	78 0.8×	113 1.6×	12 0.6×	3 0.2×	4 0.4×	6	159
Jaemin Na South Korea	3	127 1.3×	152 2.1×	7 0.4×	6 0.3×	11 1.2×	7	216
Danlu Chen United States	2	138 1.4×	100 1.4×	17 0.9×	4 0.2×	3 0.3×	3	188
Chaim Baskin Israel	6	118 1.2×	85 1.2×	7 0.4×	7 0.4×	3 0.3×	13	182
Rui-Wei Zhao China	8	150 1.5×	103 1.4×	5 0.3×	10 0.6×	5 0.6×	37	234

Countries citing papers authored by Yash Bhalgat

Since Specialization

Citations

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

Fields of papers citing papers by Yash Bhalgat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yash Bhalgat

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

Chen, Shuai, Yash Bhalgat, Xinghui Li, et al.. (2024). Neural Refinement for Absolute Pose Regression with Feature Synthesis. 20987–20996. 6 indexed citations

2.

Tao, Yifu, et al.. (2024). SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection. 17983–17989. 11 indexed citations

3.

Bhalgat, Yash, João F. Henriques, & Andrew Zisserman. (2023). A Light Touch Approach to Teaching Transformers Multi-view Geometry. 4958–4969. 3 indexed citations

4.

Bhalgat, Yash, et al.. (2022). A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning. 806–822. 9 indexed citations

5.

Bhalgat, Yash, et al.. (2022). Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2703–2713. 3 indexed citations

6.

Bhalgat, Yash, et al.. (2020). Structured Convolutions for Efficient Neural Network Design. Neural Information Processing Systems. 33. 5553–5564. 1 indexed citations

7.

Bhalgat, Yash, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, & Nojun Kwak. (2020). LSQ+: Improving low-bit quantization through learnable offsets and better initialization. Seoul National University Open Repository (Seoul National University). 2978–2985. 104 indexed citations

8.

Bhalgat, Yash, Jean Charléty, & Laurent Duval. (2018). Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks. 47. 1618–1622. 2 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.

Explore authors with similar magnitude of impact