default search action
Tejas Gokhale
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j1]Tejas Gokhale
:
Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning. AI Mag. 45(3): 429-435 (2024) - [c24]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI 2024: 14554-14562 - [c23]Tejas Gokhale:
Towards Robust Visual Understanding: from Recognition to Reasoning. AAAI 2024: 22665 - [c22]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CVPR 2024: 2794-2803 - [c21]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. CVPR Workshops 2024: 7303-7313 - [c20]Agneet Chatterjee
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) 2024: 204-222 - [c19]Agneet Chatterjee
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. ECCV (30) 2024: 339-357 - [i26]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 abs/2404.01197 (2024) - [i25]Sourajit Saha, Tejas Gokhale:
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling. CoRR abs/2404.07410 (2024) - [i24]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR abs/2404.08540 (2024) - [i23]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 abs/2405.15961 (2024) - [i22]Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral:
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. CoRR abs/2408.02231 (2024) - 2023
- [c18]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) 2023: 8573-8589 - [c17]Sheng Cheng, Tejas Gokhale, Yezhou Yang:
Adversarial Bayesian Augmentation for Single-Source Domain Generalization. ICCV 2023: 11366-11376 - [c16]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV 2023: 434-443 - [i21]Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang:
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. CoRR abs/2303.17080 (2023) - [i20]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR abs/2306.00424 (2023) - [i19]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR abs/2306.04695 (2023) - [i18]Sheng Cheng, Tejas Gokhale, Yezhou Yang:
Adversarial Bayesian Augmentation for Single-Source Domain Generalization. CoRR abs/2307.09520 (2023) - 2022
- [c15]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. AAAI 2022: 11038-11046 - [c14]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. ACL (2) 2022: 355-361 - [c13]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) 2022: 1493-1513 - [c12]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. ACL (Findings) 2022: 2003-2016 - [c11]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: 2705-2718 - [c10]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP 2022: 9856-9870 - [i17]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. CoRR abs/2201.07745 (2022) - [i16]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 abs/2203.07653 (2022) - [i15]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR abs/2203.16682 (2022) - [i14]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. CoRR abs/2206.07736 (2022) - [i13]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. CoRR abs/2211.03779 (2022) - [i12]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 abs/2212.10015 (2022) - 2021
- [c9]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI 2021: 7574-7582 - [c8]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) 2021: 3420-3435 - [c7]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV 2021: 1888-1898 - [c6]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. NAACL-HLT 2021: 1200-1211 - [i11]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. CoRR abs/2103.11263 (2021) - [i10]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR abs/2109.01934 (2021) - [i9]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR abs/2110.07165 (2021) - [i8]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. CoRR abs/2110.08438 (2021) - 2020
- [c5]Tejas Gokhale
VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) 2020: 379-396 - [c4]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) 2020: 840-860 - [c3]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) 2020: 878-892 - [i7]Tejas Gokhale, Pratyay Banerjee
VQA-LOL: Visual Question Answering under the Lens of Logic. CoRR abs/2002.08325 (2020) - [i6]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR abs/2003.05162 (2020) - [i5]Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan:
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR abs/2004.08614 (2020) - [i4]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. CoRR abs/2009.08566 (2020) - [i3]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. CoRR abs/2012.01806 (2020) - [i2]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Self-Supervised VQA: Answering Visual Questions using Images and Captions. CoRR abs/2012.02356 (2020)
2010 – 2019
- 2019
- [c2]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. CVPR Workshops 2019: 5-8 - [c1]Tejas Gokhale:
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions. IJCAI 2019: 6436-6437 - [i1]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. CoRR abs/1905.12042 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: