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Anirban Roy
Anirban Roy
Senior Scientist, SRI International
Verified email at sri.com
Title
Cited by
Cited by
Year
Monocular Depth Estimation Using Neural Regression Forest
A Roy, S Todorovic
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
3172016
A multi-scale cnn for affordance segmentation in rgb images
A Roy, S Todorovic
European conference on computer vision, 186-201, 2016
1262016
Combining bottom-up, top-down, and smoothness cues for weakly supervised image segmentation
A Roy, S Todorovic
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1022017
Align2ground: Weakly supervised phrase grounding guided by image-caption alignment
S Datta, K Sikka, A Roy, K Ahuja, D Parikh, A Divakaran
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
482019
Scene labeling using beam search under mutex constraints
A Roy, S Todorovic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
322014
Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain
A Das, A Roy, K Ghosh
International Conference on Swarm, Evolutionary, and Memetic Computing, 559-568, 2011
132011
Understanding visual ads by aligning symbols and objects using co-attention
K Ahuja, K Sikka, A Roy, A Divakaran
arXiv preprint arXiv:1807.01448, 2018
122018
Neuro-visually inspired figure-ground segregation
K Ghosh, A Roy
2011 International Conference on Image Information Processing, 1-6, 2011
92011
iDECODe: In-distribution equivariance for conformal out-of-distribution detection
R Kaur, S Jha, A Roy, S Park, E Dobriban, O Sokolsky, I Lee
arXiv preprint arXiv:2201.02331, 2022
52022
Learning to learn second-order back-propagation for CNNs using LSTMs
A Roy, S Todorovic
2018 24th International Conference on Pattern Recognition (ICPR), 97-102, 2018
42018
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
Detecting trojaned dnns using counterfactual attributions
K Sikka, I Sur, S Jha, A Roy, A Divakaran
arXiv preprint arXiv:2012.02275, 2020
32020
Detecting oods as datapoints with high uncertainty
R Kaur, S Jha, A Roy, S Park, O Sokolsky, I Lee
arXiv preprint arXiv:2108.06380, 2021
22021
Are all outliers alike? on understanding the diversity of outliers for detecting oods
R Kaur, S Jha, A Roy, O Sokolsky, I Lee
arXiv preprint arXiv:2103.12628, 2021
22021
On Diverse System-Level Design Using Manifold Learning and Partial Simulated Annealing
A Cobb, A Roy, D Elenius, K Koneripalli, S Jha
Proceedings of the Design Society 2, 1541-1548, 2022
12022
Detecting Out-Of-Context Objects Using Graph Context Reasoning Network
M Acharya, A Roy, K Koneripalli, S Jha, C Kanan, A Divakaran
IJCAI, 2022
2022
Multiple Testing Framework for Out-of-Distribution Detection
A Magesh, VV Veeravalli, A Roy, S Jha
arXiv preprint arXiv:2206.09522, 2022
2022
Detecting out-of-context objects using contextual cues
M Acharya, A Roy, K Koneripalli, S Jha, C Kanan, A Divakaran
arXiv preprint arXiv:2202.05930, 2022
2022
Runtime Monitoring of Deep Neural Networks Using Top-Down Context Models Inspired by Predictive Processing and Dual Process Theory
A Roy, A Cobb, ND Bastian, B Jalaian, S Jha
AAAI, 2022
2022
Aligning symbols and objects using co-attention for understanding visual content
A Divakaran, K Sikka, K Ahuja, A Roy
US Patent 11,210,572, 2021
2021
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