| Towards VQA Models That Can Read A Singh, V Natarajan, M Shah, Y Jiang, X Chen, D Batra, D Parikh, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 953 | 2019 |
| Pythia-A platform for vision & language research A Singh, V Natarajan, Y Jiang, X Chen, M Shah, M Rohrbach, D Batra, ... NIPS 2018 MLSys Workshop on Systems for ML and Open Source Software, 2018 | 367* | 2018 |
| Cycle-Consistency for Robust Visual Question Answering M Shah, X Chen, M Rohrbach, D Parikh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 203 | 2019 |
| Leaf Classification using Marginalized Shape Context and Shape + Texture Dual-path Deep Convolutional Neural Network MP Shah, S Singha, SP Awate Image Processing (ICIP), 2017 IEEE International Conference on, 860-864, 2017 | 63 | 2017 |
| Conditional Entropy Coding for Efficient Video Compression J Liu, S Wang, WC Ma, M Shah, R Hu, P Dhawan, R Urtasun European Conference on Computer Vision (ECCV) 2020, 2020 | 61 | 2020 |
| MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation MP Shah, SN Merchant, A SP Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) 4 …, 2018 | 60 | 2018 |
| A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography TP Matthews, S Singh, B Mombourquette, J Su, MP Shah, S Pedemonte, ... Radiology: Artificial Intelligence 3 (1), e200015, 2020 | 39 | 2020 |
| LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion M Shah, Z Huang, A Laddha, M Langford, B Barber, S Zhang, ... Conference on Robot Learning (CoRL), 2020 | 39 | 2020 |
| Abnormality Detection using Deep Neural Networks with Robust Quasi-norm Autoencoding and Semi-Supervised Learning MP Shah, SN Merchant, SP Awate Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 28 | 2018 |
| Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis S Singh, TP Matthews, M Shah, B Mombourquette, T Tsue, A Long, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 25-32, 2020 | 24 | 2020 |
| Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks MP Shah, YS Bhalgat, SP Awate NIPS 2018 Workshop on Medical Imaging, 2018 | 24 | 2018 |
| MMF: a multimodal framework for vision and language research (2020) A Singh, V Goswami, V Natarajan, Y Jiang, X Chen, M Shah, M Rohrbach, ... URL: https://github. com/facebookresearch/mmf, 0 | 11 | |
| A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams TP Matthews, S Singh, B Mombourquette, J Su, MP Shah, S Pedemonte, ... Radiology: Artificial Intelligence, 2020 | 5 | 2020 |
| A deep learning algorithm for reducing false positives in screening mammography S Pedemonte, T Tsue, B Mombourquette, YNT Vu, T Matthews, RM Hoil, ... Radiology Artifical Intelligence, 2024 | 4 | 2024 |
| Systems and Methods for End-to-End Trajectory Prediction Using Radar, Lidar, and Maps M Shah, A Laddha, CV Gonzalez US Patent App. 17/095,227, 2022 | | 2022 |
| End-to-End Object Detection and Trajectory Prediction using Spatio-Temporal Fusion of RADAR with LiDAR and HDMap M Shah, A Laddha, CV Gonzalez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021 | | 2021 |
| A Hypersensitive Breast Cancer Detector S Pedemonte, B Mombourquette, A Goh, T Tsue, A Long, S Singh, ... Medical Imaging 2020: Computer-Aided Diagnosis, 2020 | | 2020 |
| Semantic Segmentation Algorithms Implemented in PyTorch MP Shah https://github.com/meetshah1995/pytorch-semseg, 2017 | | 2017 |
Devi ParikhPreviously: FAIR and GenAI @ Meta. Georgia TechVerified email at gatech.edu
