Tejas Gokhale

538 total citations
20 papers, 218 citations indexed

About

Tejas Gokhale is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Tejas Gokhale has authored 20 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 1 paper in Infectious Diseases. Recurrent topics in Tejas Gokhale's work include Multimodal Machine Learning Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tejas Gokhale is often cited by papers focused on Multimodal Machine Learning Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tejas Gokhale collaborates with scholars based in United States, India and United Kingdom. Tejas Gokhale's co-authors include Chitta Baral, Yezhou Yang, Pratyay Banerjee, Zhiyuan Fang, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Arindam Mitra, Abhishek Chaudhary and Maitreya Patel and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Maryland Shared Open Access Repository (USMAI Consortium) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Tejas Gokhale

17 papers receiving 216 citations

Peers

Tejas Gokhale

CVPR

RNMI

Peyman Passban Ireland

Christian Bartz Germany

Anastasia Pentina Austria

Chenglin Wu China

Raphael Gontijo Lopes United States

Ruotian Luo United States

Assaf Arbelle United States

Namyup Kim South Korea

Evgenii Zheltonozhskii Israel

Peyman Passban Ireland

Tejas Gokhale

150 ×0.9

82 ×0.5

CVPR

6 ×0.9

5 ×0.8

RNMI

9 ×1.8

Citations per year, relative to Tejas Gokhale Tejas Gokhale (= 1×) peers Peyman Passban

Countries citing papers authored by Tejas Gokhale

Since Specialization

Citations

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

Fields of papers citing papers by Tejas Gokhale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejas Gokhale

This figure shows the co-authorship network connecting the top 25 collaborators of Tejas Gokhale. A scholar is included among the top collaborators of Tejas Gokhale 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 Tejas Gokhale. Tejas Gokhale 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

Gokhale, Tejas, et al.. (2025). Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling. 620–629.

Patel, Maitreya, Tejas Gokhale, Chitta Baral, & Yezhou Yang. (2024). ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14554–14562. 3 indexed citations

Luo, Man, Tejas Gokhale, Neeraj Varshney, Yezhou Yang, & Chitta Baral. (2024). Advances in Multimodal Information Retrieval and Generation. 1 indexed citations

Gokhale, Tejas, et al.. (2024). On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. Maryland Shared Open Access Repository (USMAI Consortium). 2794–2803. 1 indexed citations

Baral, Chitta, et al.. (2024). TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives. 32731–32760.

Luo, Man, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, & Chitta Baral. (2023). End-to-end Knowledge Retrieval with Multi-modal Queries. 8573–8589. 5 indexed citations

Gokhale, Tejas, Rushil Anirudh, Jayaraman J. Thiagarajan, et al.. (2023). Improving Diversity with Adversarially Learned Transformations for Domain Generalization. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 434–443. 19 indexed citations

Gokhale, Tejas, et al.. (2023). Adversarial Bayesian Augmentation for Single-Source Domain Generalization. 11366–11376. 12 indexed citations

Patel, Maitreya, et al.. (2022). CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. Maryland Shared Open Access Repository (USMAI Consortium). 9856–9870. 4 indexed citations

10.

Gokhale, Tejas, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, & Yezhou Yang. (2022). Semantically Distributed Robust Optimization for Vision-and-Language Inference. Findings of the Association for Computational Linguistics: ACL 2022. 1493–1513. 9 indexed citations

11.

Anupama, K. R., et al.. (2022). Tasks Scheduling and Load Balancing on a Cloudlet System Using Qualcomm 410C. 1. 36–40.

12.

Varshney, Neeraj, Pratyay Banerjee, Tejas Gokhale, & Chitta Baral. (2022). Unsupervised Natural Language Inference Using PHL Triplet Generation. Findings of the Association for Computational Linguistics: ACL 2022. 2003–2016. 5 indexed citations

13.

Luo, Yiran, et al.. (2022). To Find Waldo You Need Contextual Cues: Debiasing Who’s Waldo. 355–361. 2 indexed citations

14.

Mitra, Arindam, et al.. (2022). Improving Biomedical Information Retrieval with Neural Retrievers. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11038–11046. 12 indexed citations

15.

Banerjee, Pratyay, Tejas Gokhale, Yezhou Yang, & Chitta Baral. (2021). Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1888–1898. 12 indexed citations

16.

Gokhale, Tejas, Rushil Anirudh, Bhavya Kailkhura, et al.. (2021). Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7574–7582. 14 indexed citations

17.

Fang, Zhiyuan, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, & Yezhou Yang. (2020). Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. 840–860. 38 indexed citations

18.

Gokhale, Tejas, Pratyay Banerjee, Chitta Baral, & Yezhou Yang. (2020). MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. 878–892. 78 indexed citations

19.

Gokhale, Tejas, et al.. (2019). Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. Maryland Shared Open Access Repository (USMAI Consortium). 5–8. 2 indexed citations

20.

Gokhale, Tejas. (2019). Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions. 6436–6437. 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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