| Monocular Depth Estimation Using Neural Regression Forest A Roy, S Todorovic Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 388 | 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 | 182 | 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 | 110 | 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 | 50 | 2022 |
| Radar crosssections 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 | 39 | 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 |
| 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 | 17 | 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 | 15 | 2023 |
| 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 | 13 | 2023 |
| Class prototypes based contrastive learning for classifying multi-label and fine-grained educational videos R Gupta, A Roy, C Christensen, S Kim, S Gerard, M Cincebeaux, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 13 | 2023 |
| 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 | 13 | 2022 |
| 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 | 13 | 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 out-of-context objects using graph context reasoning network M Acharya, A Roy, K Koneripalli, S Jha, C Kanan, A Divakaran IJCAI, 2022 | 11 | 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 | 11 | 2022 |
| Neuro-visually inspired figure-ground segregation K Ghosh, A Roy 2011 International Conference on Image Information Processing, 1-6, 2011 | 10 | 2011 |
| AircraftVerse: a large-scale multimodal dataset of aerial vehicle designs A Cobb, A Roy, D Elenius, F Heim, B Swenson, S Whittington, J Walker, ... Advances in Neural Information Processing Systems 36, 44524-44543, 2023 | 7 | 2023 |
