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Arijit Ray
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Cited by
Year
Question relevance in VQA: identifying non-visual and false-premise questions
A Ray, G Christie, M Bansal, D Batra, D Parikh
arXiv preprint arXiv:1606.06622, 2016
702016
Generating natural language explanations for visual question answering using scene graphs and visual attention
S Ghosh, G Burachas, A Ray, A Ziskind
arXiv preprint arXiv:1902.05715, 2019
642019
Sunny and dark outside?! improving answer consistency in vqa through entailed question generation
A Ray, K Sikka, A Divakaran, S Lee, G Burachas
arXiv preprint arXiv:1909.04696, 2019
632019
Can you explain that? Lucid explanations help human-AI collaborative image retrieval
A Ray, Y Yao, R Kumar, A Divakaran, G Burachas
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019
19*2019
cola: A Benchmark for Compositional Text-to-image Retrieval
A Ray, F Radenovic, A Dubey, B Plummer, R Krishna, K Saenko
Advances in Neural Information Processing Systems 36, 2024
14*2024
The impact of explanations on AI competency prediction in VQA
K Alipour, A Ray, X Lin, JP Schulze, Y Yao, GT Burachas
2020 IEEE International Conference on Humanized Computing and Communication …, 2020
122020
Knowing what VQA does not: Pointing to error-inducing regions to improve explanation helpfulness
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
arXiv preprint arXiv 2103, 2021
8*2021
Language-guided audio-visual source separation via trimodal consistency
R Tan, A Ray, A Burns, BA Plummer, J Salamon, O Nieto, B Russell, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
Improving users' mental model with attention‐directed counterfactual edits
K Alipour, A Ray, X Lin, M Cogswell, JP Schulze, Y Yao, GT Burachas
Applied AI Letters 2 (4), e47, 2021
52021
Make up your mind: Towards consistent answer predictions in vqa models
A Ray, GT Burachas, K Sikka, A Roy, A Ziskind, Y Yao, A Divakaran
European Conference on Computer Vision (ECCV), Workshops, 2018
42018
User targeted content generation using multimodal embeddings
A Divakaran, K Sikka, A Ray, X Lin, Y Yao
US Patent App. 17/191,698, 2021
32021
The art of deep connection-towards natural and pragmatic conversational agent interactions
A Ray
Virginia Tech, 2017
32017
Socratis: Are large multimodal models emotionally aware?
K Deng, A Ray, R Tan, S Gabriel, BA Plummer, K Saenko
arXiv preprint arXiv:2308.16741, 2023
22023
The virginia tech system at conll-2016 shared task on shallow discourse parsing
P Chandrasekar, X Zhang, S Chakravarty, A Ray, J Krulick, A Rozovskaya
Proceedings of the CoNLL-16 shared task, 115-121, 2016
22016
Lasagna: Layered Score Distillation for Disentangled Object Relighting
D Bashkirova, A Ray, R Mallick, SA Bargal, J Zhang, R Krishna, K Saenko
arXiv preprint arXiv:2312.00833, 2023
2023
Make RBF Networks Fast Again-Exploiting Multi-Threaded Computing to Speed Up RBF Networks
C Dusold, A Ray
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