Ramesh Ashok Tabib

698 total citations
28 papers, 166 citations indexed

About

Ramesh Ashok Tabib is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Ramesh Ashok Tabib has authored 28 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 10 papers in Geology. Recurrent topics in Ramesh Ashok Tabib's work include 3D Surveying and Cultural Heritage (10 papers), 3D Shape Modeling and Analysis (10 papers) and Advanced Image Processing Techniques (8 papers). Ramesh Ashok Tabib is often cited by papers focused on 3D Surveying and Cultural Heritage (10 papers), 3D Shape Modeling and Analysis (10 papers) and Advanced Image Processing Techniques (8 papers). Ramesh Ashok Tabib collaborates with scholars based in India. Ramesh Ashok Tabib's co-authors include Uma Mudenagudi, Ujwala Patil, Chaitra Desai and Prabin Kumar Bora and has published in prestigious journals such as Computers & Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Procedia Computer Science.

In The Last Decade

Ramesh Ashok Tabib

27 papers receiving 162 citations

Peers

Ramesh Ashok Tabib

CVPR

MT

GEOLO

CM

EE

Zhouyan He China

Renjiao Yi China

Tuo Feng China

Zizhuang Wei China

Chaitra Desai India

Daeyun Shin United States

Nianjin Ye China

Keyang Luo China

Julien Weissenberg Switzerland

Jason Rock United States

Zhouyan He China

Ramesh Ashok Tabib

169 ×1.3

CVPR

47 ×1.1

MT

23 ×0.6

GEOLO

68 ×1.9

CM

31 ×1.2

EE

Citations per year, relative to Ramesh Ashok Tabib Ramesh Ashok Tabib (= 1×) peers Zhouyan He

Countries citing papers authored by Ramesh Ashok Tabib

Since Specialization

Citations

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

Fields of papers citing papers by Ramesh Ashok Tabib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh Ashok Tabib. 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 Ramesh Ashok Tabib. The network helps show where Ramesh Ashok Tabib may publish in the future.

Co-authorship network of co-authors of Ramesh Ashok Tabib

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Ashok Tabib. A scholar is included among the top collaborators of Ramesh Ashok Tabib 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 Ramesh Ashok Tabib. Ramesh Ashok Tabib 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

1.

Tabib, Ramesh Ashok, et al.. (2026). RIFLe-Net: Rotation Invariant Feature Learning Network towards affordance detection in 3D point clouds. Computers & Graphics. 135. 104551–104551.

2.

Desai, Chaitra, et al.. (2024). HNN: Hierarchical Noise-Deinterlace Net Towards Image Denoising. 3007–3016. 2 indexed citations

3.

Tabib, Ramesh Ashok, et al.. (2024). LGAfford-Net: A Local Geometry Aware Affordance Detection Network for 3D Point Clouds. 5261–5270. 2 indexed citations

4.

Tabib, Ramesh Ashok, et al.. (2023). ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields. 1 indexed citations

5.

Tabib, Ramesh Ashok, et al.. (2023). TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards Upsampling. 2264–2274. 1 indexed citations

6.

Tabib, Ramesh Ashok, et al.. (2022). Metric-KNN is All You Need. 1–2. 2 indexed citations

7.

Desai, Chaitra, et al.. (2022). AquaGAN: Restoration of Underwater Images. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 295–303. 18 indexed citations

8.

Tabib, Ramesh Ashok, et al.. (2022). PROJECT-BASED LEARNING IN MACHINE LEARNING COURSE: EXPERIENCE AND OUTCOMES. EDULEARN proceedings. 1. 1545–1551. 1 indexed citations

9.

Tabib, Ramesh Ashok, et al.. (2022). DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5089–5096. 4 indexed citations

10.

Tabib, Ramesh Ashok, et al.. (2022). VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2977–2984. 10 indexed citations

11.

Desai, Chaitra, et al.. (2021). Rendering of Synthetic Underwater Images Towards Restoration. 1–2. 5 indexed citations

12.

Desai, Chaitra, et al.. (2021). RUIG: Realistic Underwater Image Generation Towards Restoration. 2181–2189. 20 indexed citations

13.

Tabib, Ramesh Ashok, et al.. (2021). PointDCCNet: 3D Object Categorization Network using Point Cloud Decomposition. 2200–2208. 5 indexed citations

14.

Tabib, Ramesh Ashok, et al.. (2020). Learning-Based Hole Detection in 3D Point Cloud Towards Hole Filling. Procedia Computer Science. 171. 475–482. 18 indexed citations

15.

Desai, Chaitra, et al.. (2020). Framework for Underwater Image Enhancement. Procedia Computer Science. 171. 491–497. 9 indexed citations

16.

Tabib, Ramesh Ashok, et al.. (2020). Deep Features for Categorization of Heritage Images Towards 3D Reconstruction. Procedia Computer Science. 171. 483–490. 3 indexed citations

17.

Patil, Ujwala, et al.. (2019). Deep Learning based Radial Blur Estimation and Image Enhancement. 1–5. 3 indexed citations

18.

Tabib, Ramesh Ashok, et al.. (2019). Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring. 1008–1016. 1 indexed citations

19.

Tabib, Ramesh Ashok, et al.. (2014). Multilevel Framework for Summarization of Surveillance Videos. 265–270. 6 indexed citations

20.

Tabib, Ramesh Ashok, et al.. (2013). Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule. 24. 1–4. 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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