Avi Singh

1.8k citations
22 papers · 903 · h-index 9

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Speech and dialogue systems
    • Reinforcement Learning in Robotics

Papers in

Avi Singh

20 papers receiving 871 citations

Peers

Avi Singh
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 663
  • Artificial Intelligence 578
  • Health Informatics 10
  • Control and Systems Engineering 84
  • Pharmaceutical Science 14
Replace Rogerio Bonatti with:
Rogerio Bonatti United States
Nakul Gopalan United States
Rongjie Huang China
Arthur Fender Coelho Bucker United Kingdom
Tingwu Wang Canada
Tianlin Shi China
Anchit Gupta India
Samson Yu Singapore
Ishika Singh United States
Clayton, Clay Washington United States
Avi Singh relative to Rogerio Bonatti United States Rogerio Bonatti's profile →
Citations per field
00.5×20×40×65×
Rogerio Bonatti · 1×
Citations per year

Countries citing papers authored by Avi Singh

Since Specialization
Citations

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

Fields of papers citing papers by Avi Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Avi Singh, 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 Avi Singh Line = papers co-authored together Avi Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017346
2
Visual Dialog
2017281
3 2019115
4 202335
5 201829
6 202314
7
Visual Dialog
201913
8 201613
9 201912
10
Few-Shot Goal Inference for Visuomotor Learning and Planning
20189
11 20238
12 20237
13 20176
14 20194
15
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
20213
16 20233
17 20202
18 20171
19 20241
20 20251

About Avi Singh

Avi Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomaterials and Molecular Medicine, having authored 22 papers that have together received 903 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (5 papers), Multimodal Machine Learning Applications (4 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Calcium Carbonate Crystallization and Inhibition (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (663 citations), Artificial Intelligence (578 citations), Health Informatics (10 citations), Control and Systems Engineering (84 citations) and Pharmaceutical Science (14 citations). Avi Singh has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Dhruv Batra, Abhishek Kumar Das, Satwik Kottur, Khushi Gupta, José M. F. Moura, Devi Parikh, Deshraj Jain, Sergey Levine, Chelsea Finn and Sandeep Kumar Singh. Their work appears in journals such as ACS Omega, IEEE Transactions on Pattern Analysis and Machine Intelligence, Phase Transitions, International Journal of Financial Studies and International Journal on Recent and Innovation Trends in Computing and Communication.

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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