C. V. Jawahar

14.2k citations
322 papers · 6.5k indexed · 2 hit papers · h-index 37

C. V. Jawahar

307 papers receiving 6.1k citations

Hit Papers

A Lip Sync Expert Is All You Need fo...4262012202620162021200400600

Peers

C. V. Jawahar
Comparison fields: 5 of 164
  • Computer Vision and Pattern Recognition 5.1k
  • Media Technology 828
  • Artificial Intelligence 2.0k
  • Signal Processing 616
  • Human-Computer Interaction 270
Replace Sergey Karayev with:
Sergey Karayev United States
Zhuang Liu China
Jun Yu China
Tiejun Huang China
Bingbing Ni China
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C. V. Jawahar relative to Sergey Karayev United States Sergey Karayev's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. V. Jawahar

Since Specialization
Citations

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

Fields of papers citing papers by C. V. Jawahar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. V. Jawahar. 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 C. V. Jawahar. The network helps show where C. V. Jawahar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside C. V. Jawahar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. V. Jawahar Line = papers co-authored together C. V. Jawahar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20243
4 20240
5 20232
6 202325
7 20221
8
IndicSpeech: Text-to-Speech Corpus for Indian Languages
202010
9 201911
10 2019156
11
Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery.
201829
12
Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation.
20187
13
Scaling Handwritten Student Assessments With a Document Image Workflow System
20182
14 20177
15 201722
16
Oxford-IIIT TRECVID 2009 - Notebook Paper
20091
17
Oxford/IIIT TRECVID 2008 - Notebook paper
20082
18
Geometric Structure Computation from Conics.
200427
19
Multiview Constraints for Recognition of Planar Curves in Fourier Domain
20022
20
Algebraic Constraints on Moving Points in Multiple Views
20020

About C. V. Jawahar

C. V. Jawahar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 322 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (105 papers), Handwritten Text Recognition Techniques (75 papers), Image Retrieval and Classification Techniques (67 papers), Advanced Vision and Imaging (51 papers), Robotics and Sensor-Based Localization (40 papers), Multimodal Machine Learning Applications (37 papers), Natural Language Processing Techniques (35 papers) and Video Analysis and Summarization (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.1k citations), Media Technology (828 citations) and Artificial Intelligence (2.0k citations). C. V. Jawahar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Andrea Vedaldi, Omkar Parkhi, A. Zisserman, Vinay P. Namboodiri, Rudrabha Mukhopadhyay, K R Prajwal, Minesh Mathew, Anoop Namboodiri, Suriya Singh and Andrew Zisserman. Their work appears in journals such as Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters, IEEE Transactions on Biometrics Behavior and Identity Science and Scientific Reports.

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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2026