Rajeev Yasarla

1.0k total citations · 1 hit paper
19 papers, 620 citations indexed

About

Rajeev Yasarla is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Rajeev Yasarla has authored 19 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Rajeev Yasarla's work include Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (6 papers) and Image Enhancement Techniques (6 papers). Rajeev Yasarla is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (6 papers) and Image Enhancement Techniques (6 papers). Rajeev Yasarla collaborates with scholars based in United States and United Kingdom. Rajeev Yasarla's co-authors include Vishal M. Patel, Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Federico Perazzi, Puyang Wang, Ilker Hacihaliloglu, Pengfei Guo, Shanshan Jiang, Jinyuan Zhou and Jisoo Jeong and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Rajeev Yasarla

17 papers receiving 607 citations

Hit Papers

TransWeather: Transformer-based Restoration of Images Deg... 2022 2026 2023 2024 2022 50 100 150 200
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.

  1. TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
    2022 239 citations Jeya Maria Jose Valanarasu, Rajeev Yasarla 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 Career Trend Papers Cites
Rajeev Yasarla United States 10 543 187 47 35 32 19 620
Yuning Cui Germany 13 531 1.0× 249 1.3× 35 0.7× 16 0.5× 22 0.7× 32 679
Fangxun Bao China 13 422 0.8× 220 1.2× 25 0.5× 39 1.1× 12 0.4× 24 502
Fuzhi Yang China 2 541 1.0× 280 1.5× 49 1.0× 30 0.9× 8 0.3× 2 640
Lerenhan Li China 8 743 1.4× 376 2.0× 44 0.9× 17 0.5× 57 1.8× 10 785
Akshay Dudhane India 16 702 1.3× 219 1.2× 98 2.1× 59 1.7× 37 1.2× 29 782
Tiantong Guo United States 9 308 0.6× 175 0.9× 36 0.8× 21 0.6× 20 0.6× 13 367
Yuda Song China 4 544 1.0× 283 1.5× 15 0.3× 9 0.3× 57 1.8× 6 593
Zhiying Jiang China 11 838 1.5× 462 2.5× 31 0.7× 17 0.5× 19 0.6× 41 992
Xiaojie Chu United States 5 399 0.7× 164 0.9× 39 0.8× 22 0.6× 8 0.3× 7 493

Countries citing papers authored by Rajeev Yasarla

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Yasarla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Yasarla

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

All Works

19 of 19 papers shown
1.
Yasarla, Rajeev, Hong Cai, Shizhong Han, et al.. (2025). Distilling Multi-Modal Large Language Models for Autonomous Driving. 27575–27585. 1 indexed citations
2.
Yasarla, Rajeev, Shizhong Han, Hong Cai, & Fatih Porikli. (2025). DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos. 2501–2510.
3.
Yasarla, Rajeev, et al.. (2025). HexaGen3D: StableDiffusion is One Step Away from Fast and Diverse Text-to-3D Generation. 1247–1257. 1 indexed citations
4.
Yasarla, Rajeev, Jeya Maria Jose Valanarasu, Sriram Vishwanath, & Vishal M. Patel. (2024). Self-Supervised Denoising Transformer with Gaussian Process. 1463–1473. 1 indexed citations
5.
Yasarla, Rajeev, Renliang Weng, Wongun Choi, Vishal M. Patel, & Amir Sadeghian. (2024). 3SD: Self-Supervised Saliency Detection With No Labels. 312–321. 4 indexed citations
6.
Yasarla, Rajeev, et al.. (2023). MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. 8720–8730. 8 indexed citations
7.
Yasarla, Rajeev & Vishal M. Patel. (2022). CNN-Based Restoration of a Single Face Image Degraded by Atmospheric Turbulence. IEEE Transactions on Biometrics Behavior and Identity Science. 4(2). 222–233. 14 indexed citations
8.
Yasarla, Rajeev, Vishwanath A. Sindagi, & Vishal M. Patel. (2022). Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN. 2022 26th International Conference on Pattern Recognition (ICPR). 1967–1974. 1 indexed citations
9.
Yasarla, Rajeev, et al.. (2022). NBD-GAP: Non-Blind Image Deblurring without Clean Target Images. 2022 IEEE International Conference on Image Processing (ICIP). 62. 3431–3435.
10.
Valanarasu, Jeya Maria Jose, et al.. (2022). TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2343–2353. 239 indexed citations breakdown →
11.
Yasarla, Rajeev, Vishwanath A. Sindagi, & Vishal M. Patel. (2021). Semi-Supervised Image Deraining Using Gaussian Processes. IEEE Transactions on Image Processing. 30. 6570–6582. 18 indexed citations
12.
Yasarla, Rajeev & Vishal M. Patel. (2021). Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty. 1694–1698. 20 indexed citations
13.
Yasarla, Rajeev, Jeya Maria Jose Valanarasu, & Vishal M. Patel. (2020). Exploring Overcomplete Representations for Single Image Deraining Using CNNs. IEEE Journal of Selected Topics in Signal Processing. 15(2). 229–239. 21 indexed citations
14.
Guo, Pengfei, Puyang Wang, Rajeev Yasarla, et al.. (2020). Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs. IEEE Transactions on Medical Imaging. 40(10). 2832–2844. 15 indexed citations
15.
Valanarasu, Jeya Maria Jose, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, & Vishal M. Patel. (2020). Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data. IEEE Journal of Selected Topics in Signal Processing. 14(6). 1221–1234. 22 indexed citations
16.
Yasarla, Rajeev & Vishal M. Patel. (2020). Confidence Measure Guided Single Image De-Raining. IEEE Transactions on Image Processing. 29. 4544–4555. 54 indexed citations
17.
Yasarla, Rajeev, Vishwanath A. Sindagi, & Vishal M. Patel. (2020). Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes. 2723–2733. 146 indexed citations
18.
Yasarla, Rajeev, Federico Perazzi, & Vishal M. Patel. (2020). Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks. IEEE Transactions on Image Processing. 29. 6251–6263. 54 indexed citations
19.
Sindagi, Vishwanath A., Poojan Oza, Rajeev Yasarla, & Vishal M. Patel. (2019). Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions.. arXiv (Cornell University). 1 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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