Tejas Gokhale

61 papers A* 12A 2Journal 32Unranked 15
YearRankTypeTitle / Venue / Authors
2025 A conf
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling.
WACV
Sourajit Saha, Tejas Gokhale
2025 J jnl
InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models.
CoRR
Sarah Rastegar, Violeta Chatalbasheva, Sieger Falkena, Anuj Singh, Yanbo Wang, Tejas Gokhale, Hamid Palangi, Hadi Jamali Rad
2025 A* conf
Latent Diffusion Unlearning: Protecting Against Unauthorized Personalization Through Trajectory Shifted Perturbations.
ACM Multimedia
Naresh Kumar Devulapally, Shruti Agarwal, Tejas Gokhale, Vishnu Suresh Lokhande
2025 J jnl
Latent Diffusion Unlearning: Protecting Against Unauthorized Personalization Through Trajectory Shifted Perturbations.
CoRR
Naresh Kumar Devulapally, Shruti Agarwal, Tejas Gokhale, Vishnu Suresh Lokhande
2025 — conf
Side Effects of Erasing Concepts from Diffusion Models.
EMNLP (Findings)
Shaswati Saha, Sourajit Saha, Manas Gaur, Tejas Gokhale
2025 J jnl
Side Effects of Erasing Concepts from Diffusion Models.
CoRR
Shaswati Saha, Sourajit Saha, Manas Gaur, Tejas Gokhale
2025 A* conf
VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning.
ICLR
Nilay Yilmaz, Maitreya Patel, Yiran Lawrence Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang
2025 J jnl
VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning.
CoRR
Nilay Yilmaz, Maitreya Patel, Yiran Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang
2024 A* conf
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models.
AAAI
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024 — conf
Getting it Right: Improving Spatial Consistency in Text-to-Image Models.
ECCV (22)
Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
2024 J jnl
Getting it Right: Improving Spatial Consistency in Text-to-Image Models.
CoRR
Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
2024 — conf
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images.
CVPR Workshops
Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang
2024 J jnl
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images.
CoRR
Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang
2024 J jnl
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling.
CoRR
Sourajit Saha, Tejas Gokhale
2024 A* conf
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation.
CVPR
Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024 J jnl
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation.
CoRR
Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024 — conf
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models.
ECCV (30)
Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral
2024 J jnl
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models.
CoRR
Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral
2024 A* conf
Towards Robust Visual Understanding: from Recognition to Reasoning.
AAAI
Tejas Gokhale
2024 J jnl
Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning.
AI Mag.
Tejas Gokhale
2024 A* conf
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives.
NeurIPS
Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024 J jnl
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives.
CoRR
Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
2023 A* conf
Adversarial Bayesian Augmentation for Single-Source Domain Generalization.
ICCV
Sheng Cheng, Tejas Gokhale, Yezhou Yang
2023 J jnl
Adversarial Bayesian Augmentation for Single-Source Domain Generalization.
CoRR
Sheng Cheng, Tejas Gokhale, Yezhou Yang
2023 J jnl
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models.
CoRR
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2023 — conf
End-to-end Knowledge Retrieval with Multi-modal Queries.
ACL (1)
Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral
2023 J jnl
End-to-end Knowledge Retrieval with Multi-modal Queries.
CoRR
Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral
2023 A conf
Improving Diversity with Adversarially Learned Transformations for Domain Generalization.
WACV
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
2023 J jnl
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling.
CoRR
Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang
2022 J jnl
Benchmarking Spatial Relationships in Text-to-Image Generation.
CoRR
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
2022 A* conf
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering.
EMNLP
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2022 J jnl
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering.
CoRR
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2022 — conf
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness.
ACL (Findings)
Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral
2022 J jnl
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness.
CoRR
Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral
2022 A* conf
Improving Biomedical Information Retrieval with Neural Retrievers.
AAAI
Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral
2022 J jnl
Improving Biomedical Information Retrieval with Neural Retrievers.
CoRR
Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral
2022 J jnl
Improving Diversity with Adversarially Learned Transformations for Domain Generalization.
CoRR
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
2022 — conf
Semantically Distributed Robust Optimization for Vision-and-Language Inference.
ACL (Findings)
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2022 — conf
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo.
ACL (2)
Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2022 J jnl
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo.
CoRR
Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2022 — conf
Unsupervised Natural Language Inference Using PHL Triplet Generation.
ACL (Findings)
Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral
2021 A* conf
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations.
AAAI
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
2021 — conf
Self-Supervised Test-Time Learning for Reading Comprehension.
NAACL-HLT
Pratyay Banerjee, Tejas Gokhale, Chitta Baral
2021 J jnl
Self-Supervised Test-Time Learning for Reading Comprehension.
CoRR
Pratyay Banerjee, Tejas Gokhale, Chitta Baral
2021 J jnl
Semantically Distributed Robust Optimization for Vision-and-Language Inference.
CoRR
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2021 J jnl
Unsupervised Natural Language Inference Using PHL Triplet Generation.
CoRR
Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral
2021 — conf
WeaQA: Weak Supervision via Captions for Visual Question Answering.
ACL/IJCNLP (Findings)
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2021 A* conf
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering.
ICCV
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2021 J jnl
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering.
CoRR
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2020 J jnl
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations.
CoRR
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
2020 J jnl
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships.
CoRR
Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan
2020 — conf
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering.
EMNLP (1)
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020 J jnl
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering.
CoRR
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020 J jnl
Self-Supervised VQA: Answering Visual Questions using Images and Captions.
CoRR
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2020 — conf
VQA-LOL: Visual Question Answering Under the Lens of Logic.
ECCV (21)
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020 J jnl
VQA-LOL: Visual Question Answering under the Lens of Logic.
CoRR
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020 — conf
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning.
EMNLP (1)
Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020 J jnl
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning.
CoRR
Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2019 J jnl
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs.
CoRR
Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral
2019 — conf
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs.
CVPR Workshops
Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral
2019 A* conf
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions.
IJCAI
Tejas Gokhale