Tejas Gokhale

According to our database, Tejas Gokhale authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling.

Sourajit Saha, Tejas Gokhale

CoRR, 2024

Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning.

Tejas Gokhale

AI Mag., 2024

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

Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models.

Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the Computer Vision - ECCV 2024, 2024

Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images.

Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models.

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Robust Visual Understanding: from Recognition to Reasoning.

Tejas Gokhale

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling.

Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang

CoRR, 2023

Improving Diversity with Adversarially Learned Transformations for Domain Generalization.

Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Adversarial Bayesian Augmentation for Single-Source Domain Generalization.

Sheng Cheng, Tejas Gokhale, Yezhou Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

End-to-end Knowledge Retrieval with Multi-modal Queries.

Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Benchmarking Spatial Relationships in Text-to-Image Generation.

Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang

CoRR, 2022

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering.

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

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

Unsupervised Natural Language Inference Using PHL Triplet Generation.

Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

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

Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

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

Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Semantically Distributed Robust Optimization for Vision-and-Language Inference.

Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Improving Biomedical Information Retrieval with Neural Retrievers.

Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-Supervised Test-Time Learning for Reading Comprehension.

Pratyay Banerjee, Tejas Gokhale, Chitta Baral

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

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering.

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

WeaQA: Weak Supervision via Captions for Visual Question Answering.

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations.

Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Self-Supervised VQA: Answering Visual Questions using Images and Captions.

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

CoRR, 2020

Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships.

Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan

CoRR, 2020

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering.

Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning.

Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VQA-LOL: Visual Question Answering Under the Lens of Logic.

Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs.

Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral

CoRR, 2019

Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions.

Tejas Gokhale

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs.

Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019