Monocular Depth Estimation Using Neural Regression Forest A Roy, S Todorovic
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
371 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
174 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
137 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
100 2019 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
41 2022 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
33 2020 Scene labeling using beam search under mutex constraints A Roy, S Todorovic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
33 2014 Beyond CDM with low and high redshift data: implications for dark energy K Dutta, A Roy, Ruchika, AA Sen, MM Sheikh-Jabbari
General Relativity and Gravitation 52 (2), 15, 2020
28 2020 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
16 2021 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
14 2018 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
13 2011 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
12 2022 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
12 2021 Detecting trojaned dnns using counterfactual attributions K Sikka, I Sur, A Roy, A Divakaran, S Jha
2023 IEEE International Conference on Assured Autonomy (ICAA), 76-85, 2023
11 2023 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
10 2022 Neuro-visually inspired figure-ground segregation K Ghosh, A Roy
2011 International Conference on Image Information Processing, 1-6, 2011
10 2011 Detecting out-of-context objects using graph context reasoning network M Acharya, A Roy, K Koneripalli, S Jha, C Kanan, A Divakaran
IJCAI, 2022
9 2022 Diffalign: Few-shot learning using diffusion based synthesis and alignment A Roy, A Shah, K Shah, A Roy, R Chellappa
arXiv preprint arXiv:2212.05404 3, 2022
8 2022 Codit: Conformal out-of-distribution detection in time-series data for cyber-physical systems R Kaur, K Sridhar, S Park, Y Yang, S Jha, A Roy, O Sokolsky, I Lee
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical …, 2023
7 2023 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
6 2021