Anirban Roy
Anirban Roy
Senior Scientist, SRI International
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Cited by
Cited by
Monocular Depth Estimation Using Neural Regression Forest
A Roy, S Todorovic
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
A multi-scale cnn for affordance segmentation in rgb images
A Roy, S Todorovic
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
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
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
Scene labeling using beam search under mutex constraints
A Roy, S Todorovic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Radar cross‐sections of pedestrians at automotive radar frequencies using ray tracing and point scatterer modelling
Y Deep, P Held, SS Ram, D Steinhauser, A Gupta, F Gruson, A Koch, ...
IET Radar, Sonar & Navigation 14 (6), 833-844, 2020
iDECODe: In-distribution equivariance for conformal out-of-distribution detection
R Kaur, S Jha, A Roy, S Park, E Dobriban, O Sokolsky, I Lee
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7104-7114, 2022
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
Swarm, Evolutionary, and Memetic Computing: Second International Conference …, 2011
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
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
Neuro-visually inspired figure-ground segregation
K Ghosh, A Roy
2011 International Conference on Image Information Processing, 1-6, 2011
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
Codit: Conformal out-of-distribution detection in time-series data
R Kaur, K Sridhar, S Park, S Jha, A Roy, O Sokolsky, I Lee
arXiv preprint arXiv:2207.11769, 2022
Detecting trojaned dnns using counterfactual attributions
K Sikka, I Sur, S Jha, A Roy, A Divakaran
arXiv preprint arXiv:2012.02275, 2020
Multiple testing framework for out-of-distribution detection
A Magesh, VV Veeravalli, A Roy, S Jha
arXiv preprint arXiv:2206.09522, 2022
Runtime monitoring of deep neural networks using top-down context models inspired by predictive processing and dual process theory
A Roy, A Cobb, N Bastian, B Jalaian, S Jha
AAAI Spring Symposium 2022, 2022
Machine learning system for technical knowledge capture
G Acharya, L Yarnall, A Roy, M Wessel, Y Yao, JJ Byrnes, D Freitag, ...
US Patent App. 17/129,541, 2021
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
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
Trinity ai co-designer for hierarchical oracle-guided design of cyber-physical systems
A Cobb, A Roy, D Elenius, S Jha
2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION), 42-44, 2022
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