Tejas Gokhale

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 45

Top Topics

Natural Language

Spatial Relations

Weakly Supervised

Diffusion Models

Top Venues

Publications

Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CoRR (2024)
Sourajit Saha, Tejas Gokhale
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling. CoRR (2024)
Tejas Gokhale
Towards Robust Visual Understanding: from Recognition to Reasoning. AAAI (2024)
Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR (2024)
Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR (2024)
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI (2024)
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR (2023)
Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral
End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR (2023)
Sheng Cheng, Tejas Gokhale, Yezhou Yang
Adversarial Bayesian Augmentation for Single-Source Domain Generalization. CoRR (2023)
Sheng Cheng, Tejas Gokhale, Yezhou Yang
Adversarial Bayesian Augmentation for Single-Source Domain Generalization. ICCV (2023)
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV (2023)
Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) (2023)
Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. CoRR (2023)
Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral
Improving Biomedical Information Retrieval with Neural Retrievers. AAAI (2022)
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. CoRR (2022)
Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. ACL (Findings) (2022)
Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral
Improving Biomedical Information Retrieval with Neural Retrievers. CoRR (2022)
Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. ACL (2) (2022)
Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR (2022)
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) (2022)
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. CoRR (2022)
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR (2022)
Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. CoRR (2022)
Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral
Unsupervised Natural Language Inference Using PHL Triplet Generation. ACL (Findings) (2022)
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP (2022)
Pratyay Banerjee, Tejas Gokhale, Chitta Baral
Self-Supervised Test-Time Learning for Reading Comprehension. CoRR (2021)
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) (2021)
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI (2021)
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR (2021)
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR (2021)
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV (2021)
Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral
Unsupervised Natural Language Inference Using PHL Triplet Generation. CoRR (2021)
Pratyay Banerjee, Tejas Gokhale, Chitta Baral
Self-Supervised Test-Time Learning for Reading Comprehension. NAACL-HLT (2021)
Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR (2020)
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) (2020)
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. CoRR (2020)
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. CoRR (2020)
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
Self-Supervised VQA: Answering Visual Questions using Images and Captions. CoRR (2020)
Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) (2020)
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) (2020)
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
VQA-LOL: Visual Question Answering under the Lens of Logic. CoRR (2020)
Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR (2020)
Tejas Gokhale
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions. IJCAI (2019)
Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. CoRR (2019)
Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. CVPR Workshops (2019)