Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. - Tejas Gokhale; Shailaja Sampat; Zhiyuan Fang; Yezhou Yang; Chitta Baral (CVPR Workshops, 2019)

Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions. - Tejas Gokhale (IJCAI, 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)

VQA-LOL: Visual Question Answering Under the Lens of Logic. - Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (ECCV (21), 2020)

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. - Zhiyuan Fang; Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (EMNLP (1), 2020)

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. - Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (EMNLP (1), 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)

Self-Supervised VQA: Answering Visual Questions using Images and Captions. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (CoRR, 2020)

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. - Tejas Gokhale; Rushil Anirudh; Bhavya Kailkhura; Jayaraman J. Thiagarajan; Chitta Baral; Yezhou Yang (AAAI, 2021)

WeaQA: Weak Supervision via Captions for Visual Question Answering. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL/IJCNLP (Findings), 2021)

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ICCV, 2021)

Self-Supervised Test-Time Learning for Reading Comprehension. - Pratyay Banerjee; Tejas Gokhale; Chitta Baral (NAACL-HLT, 2021)

Improving Biomedical Information Retrieval with Neural Retrievers. - Man Luo 003; Arindam Mitra; Tejas Gokhale; Chitta Baral (AAAI, 2022)

Semantically Distributed Robust Optimization for Vision-and-Language Inference. - Tejas Gokhale; Abhishek Chaudhary; Pratyay Banerjee; Chitta Baral; Yezhou Yang (ACL (Findings), 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 003; Bhavdeep Singh Sachdeva; Chitta Baral (ACL (Findings), 2022)

To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. - Yiran Luo 001; Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (2), 2022)

Unsupervised Natural Language Inference Using PHL Triplet Generation. - Neeraj Varshney; Pratyay Banerjee; Tejas Gokhale; Chitta Baral (ACL (Findings), 2022)

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. - Maitreya Patel; Tejas Gokhale; Chitta Baral; Yezhou Yang (EMNLP, 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)

End-to-end Knowledge Retrieval with Multi-modal Queries. - Man Luo 003; Zhiyuan Fang; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (1), 2023)

Adversarial Bayesian Augmentation for Single-Source Domain Generalization. - Sheng Cheng; Tejas Gokhale; Yezhou Yang (ICCV, 2023)

Improving Diversity with Adversarially Learned Transformations for Domain Generalization. - Tejas Gokhale; Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Chitta Baral; Yezhou Yang (WACV, 2023)

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. - Ethan Wisdom; Tejas Gokhale; Chaowei Xiao; Yezhou Yang (CoRR, 2023)

Towards Robust Visual Understanding: from Recognition to Reasoning. - Tejas Gokhale (AAAI, 2024)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. - Maitreya Patel; Tejas Gokhale; Chitta Baral; Yezhou Yang (AAAI, 2024)

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. - Agneet Chatterjee; Tejas Gokhale; Chitta Baral; Yezhou Yang (CVPR, 2024)

Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. - Yiran Luo 001; Joshua Feinglass; Tejas Gokhale; Kuan-Cheng Lee; Chitta Baral; Yezhou Yang (CVPR Workshops, 2024)

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. - Agneet Chatterjee; Yiran Luo 001; Tejas Gokhale; Yezhou Yang; Chitta Baral (ECCV (30), 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 (ECCV (22), 2024)

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives. - Maitreya Patel; Abhiram Kusumba; Sheng Cheng; Changhoon Kim; Tejas Gokhale; Chitta Baral; Yezhou Yang (NeurIPS, 2024)

Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning. - Tejas Gokhale (AI Mag., 2024)

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. - Nilay Yilmaz; Maitreya Patel; Yiran Lawrence Luo; Tejas Gokhale; Chitta Baral; Suren Jayasuriya; Yezhou Yang (ICLR, 2025)

Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling. - Sourajit Saha; Tejas Gokhale (WACV, 2025)

Side Effects of Erasing Concepts from Diffusion Models. - Shaswati Saha; Sourajit Saha; Manas Gaur; Tejas Gokhale (CoRR, 2025)