Tejas Gokhale

Tejas Gokhale

Arizona State University

H-index: 11

North America-United States

About Tejas Gokhale

Tejas Gokhale, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Semantic Vision, Data Augmentation, Vision and Language, Adversarial Training, Domain Generalization.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling

Adversarial Bayesian Augmentation for Single-Source Domain Generalization

End-to-end knowledge retrieval with multi-modal queries

Towards Reliable Semantic Vision

Improving diversity with adversarially learned transformations for domain generalization

Tejas Gokhale Information

University

Position

___

Citations(all)

480

Citations(since 2020)

480

Cited By

28

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Tejas Gokhale Skills & Research Interests

Semantic Vision

Data Augmentation

Vision and Language

Adversarial Training

Domain Generalization

Top articles of Tejas Gokhale

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation

arXiv preprint arXiv:2404.08540

2024/4/12

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

arXiv preprint arXiv:2404.01197

2024/4/1

Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling

arXiv preprint arXiv:2303.17080

2023/3/30

Adversarial Bayesian Augmentation for Single-Source Domain Generalization

2023

End-to-end knowledge retrieval with multi-modal queries

2023/6/1

Towards Reliable Semantic Vision

2023

Tejas Gokhale
Tejas Gokhale

H-Index: 3

Improving diversity with adversarially learned transformations for domain generalization

2023

Benchmarking spatial relationships in text-to-image generation

arXiv preprint arXiv:2212.10015

2022/12/20

Covariate Shift Detection via Domain Interpolation Sensitivity

2022/10/6

SuperMarioDomains: Generalizing to Domains with Evolving Graphics

2022/9/29

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness

ACL

2022/3/15

Improving biomedical information retrieval with neural retrievers

2022/1/19

CRIPP-VQA: Counterfactual reasoning about implicit physical properties via video question answering

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

2022

To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2022

Unsupervised Natural Language Inference Using PHL Triplet Generation

Findings of the Association for Computational Linguistics: ACL 2022

2021/10/16

Semantically Distributed Robust Optimization for Vision-and-Language Inference

Findings of the Association for Computational Linguistics: ACL 2022

2021/10/14

WeaQA: Weak Supervision via Captions for Visual Question Answering

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

2021/8

Self-Supervised Test-Time Learning for Reading Comprehension

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2021/6

Unsupervised Question Answering: Challenges, Trends, and Outlook

2021

See List of Professors in Tejas Gokhale University(Arizona State University)

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