| Monocular Depth Estimation Using Neural Regression Forest A Roy, S Todorovic Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 349 | 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 | 154 | 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 | 121 | 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 | 70 | 2019 |
| 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 |
| 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 | 22 | 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 | 18 | 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 | 13 | 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 | 12 | 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 | 10 | 2021 |
| Neuro-visually inspired figure-ground segregation K Ghosh, A Roy 2011 International Conference on Image Information Processing, 1-6, 2011 | 10 | 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 | 8 | 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 | 7 | 2022 |
| Detecting trojaned dnns using counterfactual attributions K Sikka, I Sur, S Jha, A Roy, A Divakaran arXiv preprint arXiv:2012.02275, 2020 | 5 | 2020 |
| Multiple testing framework for out-of-distribution detection A Magesh, VV Veeravalli, A Roy, S Jha arXiv preprint arXiv:2206.09522, 2022 | 4 | 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 | 4 | 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 | 4 | 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 | 4 | 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 | 4 | 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 | 3 | 2022 |
