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ORCIDMeet Shah 0001
Person information
- affiliation (former): Whiterabbit AI, Inc., Santa Clara, CA, USA
- affiliation (former): Uber Advanced Technologies Group, Pittsburgh, PA, USA
- affiliation (former): Facebook AI Research
- affiliation (former): Indian Institute of Technology Bombay, Mumbay, India
Other persons with the same name
- Meet Shah 0002 — California State University Fresno, Department of Electrical and Computer Engineering, CA, USA
- Meet Shah 0003 — Indraprastha Institute of Information Technology, New Delhi, India
- Meet Shah 0004 — Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India
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Conference and Workshop Papers
- 2020
[c8]Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun:
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRL 2020: 31-48- [c7]Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun:
Conditional Entropy Coding for Efficient Video Compression. ECCV (17) 2020: 453-468 - [c6]Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su:
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2020 - 2019
- [c5]Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh:
Cycle-Consistency for Robust Visual Question Answering. CVPR 2019: 6649-6658 - [c4]Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach:
Towards VQA Models That Can Read. CVPR 2019: 8317-8326 - 2018
- [c3]Meet P. Shah, S. N. Merchant, Suyash P. Awate
:
Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. ISBI 2018: 568-572 - [c2]Meet P. Shah, S. N. Merchant, Suyash P. Awate:
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. MICCAI (4) 2018: 379-387 - 2017
- [c1]Meet P. Shah, Sougata Singha, Suyash P. Awate:
Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network. ICIP 2017: 860-864
Informal and Other Publications
- 2022
- [i9]Stefano Pedemonte, Trevor Tsue, Brent Mombourquette, Yen Nhi Truong Vu, Thomas Paul Matthews, Rodrigo Morales Hoil, Meet Shah, Nikita Ghare, Naomi Zingman-Daniels, Susan Holley, Catherine M. Appleton, Jason Su, Richard L. Wahl:
A deep learning algorithm for reducing false positives in screening mammography. CoRR abs/2204.06671 (2022) - 2020
- [i8]Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su:
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. CoRR abs/2001.08381 (2020) - [i7]Stefano Pedemonte, Brent Mombourquette, Alexis Goh, Trevor Tsue, Aaron Long, Sadanand Singh, Thomas Paul Matthews, Meet Shah, Jason Su:
A Hypersensitive Breast Cancer Detector. CoRR abs/2001.08382 (2020) - [i6]Thomas Paul Matthews, Sadanand Singh, Brent Mombourquette, Jason Su, Meet P. Shah, Stefano Pedemonte, Aaron Long, David Maffit, Jenny Gurney, Rodrigo Morales Hoil, Nikita Ghare, Douglas Smith, Stephen M. Moore, Susan C. Marks, Richard L. Wahl:
A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams. CoRR abs/2001.08383 (2020) - [i5]Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun:
Conditional Entropy Coding for Efficient Video Compression. CoRR abs/2008.09180 (2020) - [i4]Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun:
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRR abs/2010.00731 (2020) - 2019
- [i3]Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh:
Cycle-Consistency for Robust Visual Question Answering. CoRR abs/1902.05660 (2019) - [i2]Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach:
Towards VQA Models that can Read. CoRR abs/1904.08920 (2019) - 2018
- [i1]Yash Bhalgat, Meet P. Shah, Suyash P. Awate:
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR abs/1812.11302 (2018)
Coauthor Index
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