Urvang Joshi

522 total citations
13 papers, 65 citations indexed

About

Urvang Joshi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Urvang Joshi has authored 13 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Urvang Joshi's work include Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (5 papers) and Advanced Vision and Imaging (5 papers). Urvang Joshi is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (5 papers) and Advanced Vision and Imaging (5 papers). Urvang Joshi collaborates with scholars based in United States, China and Israel. Urvang Joshi's co-authors include Debargha Mukherjee, Dandan Ding, Yue Chen, Zhan Ma, Junjie Wang, Yue Chen, Adrian Grange, Hui Su, Onur G. Guleryuz and Shan Li and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology and 2022 IEEE International Conference on Image Processing (ICIP).

In The Last Decade

Urvang Joshi

12 papers receiving 64 citations

Peers

Urvang Joshi

CVPR

SP

CM

AI

CNC

Wenyan Wu China

Joe Timoney Ireland

Jatuporn Toy Leksut United States

Sylvain Marchand France

Matthias Reso Germany

Mike Bone

Fabien Racapé United States

Gal Ashour Israel

Jun Young Jeong South Korea

Zhonghao Li China

Wenyan Wu China

Urvang Joshi

82 ×1.4

CVPR

48 ×1.4

SP

2 ×0.3

CM

5 ×1.7

AI

1 ×0.5

CNC

Citations per year, relative to Urvang Joshi Urvang Joshi (= 1×) peers Wenyan Wu

Countries citing papers authored by Urvang Joshi

Since Specialization

Citations

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

Fields of papers citing papers by Urvang Joshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urvang Joshi

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

13 of 13 papers shown

1.

Wang, Wenyu, Junjie Wang, Dandan Ding, Urvang Joshi, & Debargha Mukherjee. (2024). ELIM: Extremely Low-Complexity Implicit Neural Model for Super Resolution-Based Coding. 1–5.

2.

Joshi, Urvang, et al.. (2023). Switchable CNNs for in-loop restoration and super-resolution for AV2. 18–18. 1 indexed citations

3.

Ding, Dandan, et al.. (2023). Neural Adaptive Loop Filtering for Video Coding: Exploring Multi-Hypothesis Sample Refinement. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 6057–6071. 11 indexed citations

4.

Wang, Junjie, et al.. (2022). Quadtree-based Guided CNN for AV1 In-loop Filtering. 2022 IEEE International Conference on Image Processing (ICIP). 3331–3335. 2 indexed citations

5.

Joshi, Urvang, et al.. (2022). Switchable CNN-Based Same-Resolution and Super-Resolution In-Loop Restoration for Next Generation Video Codecs. 2022 IEEE International Conference on Image Processing (ICIP). 1946–1950. 3 indexed citations

6.

Parker, Sarah, et al.. (2020). On Extended Transform Partitions For The Next Generation Video CODEC. 3389–3392. 1 indexed citations

7.

Ding, Dandan, et al.. (2020). Guided CNN Restoration with Explicitly Signaled Linear Combination. 3379–3383. 6 indexed citations

8.

Ding, Dandan, et al.. (2019). AV1 in-loop Filtering using a Wide-Activation Structured Residual Network. 1725–1729. 12 indexed citations

9.

Joshi, Urvang, Debargha Mukherjee, Yue Chen, Sarah Parker, & Adrian Grange. (2019). In-loop Frame Super-resolution in AV1. 1–5. 4 indexed citations

10.

Ding, Dandan, et al.. (2019). A CNN-based In-loop Filtering Approach for AV1 Video Codec. 1–5. 15 indexed citations

11.

Su, Hui, et al.. (2019). Context-adaptive recursive-filtering-based intra prediction in video coding. 1–6. 1 indexed citations

12.

Joshi, Urvang, et al.. (2017). Novel modes and adaptive block scanning order for intra prediction in AV1. 16–16. 3 indexed citations

13.

Mukherjee, Debargha, Jingning Han, Yue Chen, et al.. (2017). Novel inter and intra prediction tools under consideration for the emerging AV1 video codec. 15–15. 6 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