Arijit Ray

According to our database, Arijit Ray authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BloomVQA: Assessing Hierarchical Multi-modal Comprehension.

Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran

CoRR, 2023

Lasagna: Layered Score Distillation for Disentangled Object Relighting.

Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko

CoRR, 2023

Socratis: Are large multimodal models emotionally aware?

Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko

CoRR, 2023

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes?

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

CoRR, 2023

Cola: A Benchmark for Compositional Text-to-image Retrieval.

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language-Guided Audio-Visual Source Separation via Trimodal Consistency.

Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Improving Users' Mental Model with Attention-directed Counterfactual Edits.

Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas

CoRR, 2021

Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness.

Arijit Ray, Michael Cogswell, Xiao Lin, Kamran Alipour, Ajay Divakaran, Yi Yao, Giedrius Burachas

CoRR, 2021

2020

The Impact of Explanations on AI Competency Prediction in VQA.

Kamran Alipour, Arijit Ray, Xiao Lin, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas

CoRR, 2020

2019

Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness.

Arijit Ray, Giedrius Burachas, Yi Yao, Ajay Divakaran

CoRR, 2019

Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention.

Shalini Ghosh, Giedrius Burachas, Arijit Ray, Avi Ziskind

CoRR, 2019

Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval.

Arijit Ray, Yi Yao, Rakesh Kumar, Ajay Divakaran, Giedrius Burachas

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation.

Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions.

Arijit Ray, Gordon A. Christie, Mohit Bansal, Dhruv Batra, Devi Parikh

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing.

Prashant Chandrasekar, Xuan Zhang, Saurabh Chakravarty, Arijit Ray, John Krulick, Alla Rozovskaya

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016

2015

An Approach to Intelligent Traction Control Using Regression Networks and Anomaly Detection.

Arijit Ray, Kishan Prudhvi Guddanti, N. Chellammal

Appl. Artif. Intell., 2015