Kavita Bala

152 papers receiving 6.3k citations

Hit Papers

Inside-Outside Net: Detecting Objects in Cont...20072026201320192016201520072015250500750

Peers

Kavita Bala
Comparison fields: 5 of 153
  • Computer Vision and Pattern Recognition 4.3k
  • Computer Graphics and Computer-Aided Design 2.6k
  • Computational Mechanics 1.4k
  • Computer Networks and Communications 690
  • Artificial Intelligence 603
Replace Ren Ng with:
Ren Ng United States
Greg Humphreys United States
Sylvain Paris United States
Bernd Girod United States
Michael F. Cohen United States
Johannes Kopf United States
Ming C. Lin United States
Connelly Barnes United States
Avideh Zakhor United States
Rynson W. H. Lau Hong Kong
Kavita Bala relative to Ren Ng United States Ren Ng's profile →
Citations per field
00.5×3.7×
Ren Ng · 1×
Citations per year

Countries citing papers authored by Kavita Bala

Since Specialization
Citations

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

Fields of papers citing papers by Kavita Bala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavita Bala

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 9
4 26
5 8
6
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networksbreakdown →
915
7
Band-Sifting Decomposition for Image-Based Material Editing
1
8 29
9 1
10 64
11 2
12 12
13
Implementing the render cache and the edge-and-point image on graphics hardware
6
14 21
15 30
16 29
17 5
18 7
19 5
20 53

About Kavita Bala

Kavita Bala is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 163 papers that have together received 6.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (80 papers), Advanced Vision and Imaging (57 papers) and 3D Shape Modeling and Analysis (37 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.6k citations), Computer Vision and Pattern Recognition (4.3k citations) and Acoustics and Ultrasonics (87 citations). Kavita Bala has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Sean Bell, Bruce Walter, Shuang Zhao, C. Lawrence Zitnick, Ross Girshick, Noah Snavely, Ganesh Ramanarayanan, Steve Marschner, Donald P. Greenberg and Miloš Hašan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Communications Magazine.

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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