Arijit Ray

According to our database1, Arijit Ray authored at least 17 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Feedback-Guided Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BloomVQA: Assessing Hierarchical Multi-modal Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Lasagna: Layered Score Distillation for Disentangled Object Relighting.
CoRR, 2023

Socratis: Are large multimodal models emotionally aware?
CoRR, 2023

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes?
CoRR, 2023

Cola: A Benchmark for Compositional Text-to-image Retrieval.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Improving Users' Mental Model with Attention-directed Counterfactual Edits.
CoRR, 2021

Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness.
CoRR, 2021

2020
The Impact of Explanations on AI Competency Prediction in VQA.
CoRR, 2020

2019
Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness.
CoRR, 2019

Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention.
CoRR, 2019

Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval.
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.
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.
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.
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.
Appl. Artif. Intell., 2015


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