Arjun R. Akula

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 29

Top Topics

Diffusion Models

Interactive Visual

Top Venues

Publications

Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR (2023)
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS (2023)
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR (2023)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR (2023)
Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. ACL (industry) (2023)
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR (2023)
Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. CoRR (2023)
Arjun R. Akula
Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding. CoRR (2022)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR (2022)
Arjun R. Akula, Song-Chun Zhu
Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. CoRR (2022)
Arjun R. Akula, Song-Chun Zhu
Attention cannot be an Explanation. CoRR (2022)
Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR (2022)
Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur
ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. EMNLP (2022)
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR (2022)
Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang
CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP (2022)
Arjun R. Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu
Robust Visual Reasoning via Language Guided Neural Module Networks. NeurIPS (2021)
Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. EMNLP (1) (2021)
Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR (2021)
Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy
Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. ACL (2020)
Arjun R. Akula, Shuai Wang, Song-Chun Zhu
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. AAAI (2020)
Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions. CoRR (2020)
Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
Natural Language Interaction with Explainable AI Models. CVPR Workshops (2019)
Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
Natural Language Interaction with Explainable AI Models. CoRR (2019)
Arjun R. Akula, Song-Chun Zhu
Visual Discourse Parsing. CoRR (2019)
Arjun R. Akula, Changsong Liu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
Explainable AI as Collaborative Task Solving. CVPR Workshops (2019)
Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR (2019)
Shivali Agarwal, Vishalaksh Aggarwal, Arjun R. Akula, Gargi Banerjee Dasgupta, Giriprasad Sridhara
Automatic problem extraction and analysis from unstructured text in IT tickets. IBM J. Res. Dev. 61 (1) (2017)
Abhirut Gupta, Arjun R. Akula, Gargi Dasgupta, Pooja Aggarwal, Prateeti Mohapatra
Desire: Deep Semantic Understanding and Retrieval for Technical Support Services. ICSOC Workshops (2016)
Ashish Palakurthi, Ruthu S. M, Arjun R. Akula, Radhika Mamidi
Classification of Attributes in a Natural Language Query into Different SQL Clauses. RANLP (2015)
Gargi Dasgupta, Tapan Kumar Nayak, Arjun R. Akula, Shivali Agarwal, Shripad J. Nadgowda
Towards Auto-remediation in Services Delivery: Context-Based Classification of Noisy and Unstructured Tickets. ICSOC (2014)
Arjun R. Akula, Rajeev Sangal, Radhika Mamidi
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System. IJCNLP (2013)
Vasu Pulijala, Arjun R. Akula, Syed Azeemuddin
A Web-Based Virtual Laboratory for Electromagnetic Theory. T4E (2013)
Abhijeet Gupta, Arjun R. Akula, Deepak Malladi, Puneeth Kukkadapu, Vinay Ainavolu, Rajeev Sangal
A Novel Approach Towards Building a Portable NLIDB System Using the Computational Paninian Grammar Framework. IALP (2012)