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Aman Raj
Aman Raj
Research Engineer at Apple Inc.
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
Signet: Semantic instance aided unsupervised 3d geometry perception
Y Meng, Y Lu, A Raj, S Sunarjo, R Guo, T Javidi, G Bansal, D Bharadia
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2019
482019
Multi-scale convolutional architecture for semantic segmentation
A Raj, D Maturana, S Scherer
Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RITR-15-21, 2015
212015
Generative street addresses from satellite imagery
I Demir, F Hughes, A Raj, K Dhruv, SM Muddala, S Garg, B Doo, R Raskar
ISPRS International Journal of Geo-Information 7 (3), 84, 2018
172018
Suw-learn: Joint supervised, unsupervised, weakly supervised deep learning for monocular depth estimation
H Ren, A Raj, M El-Khamy, J Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
132020
FPGA accelerated abandoned object detection
R Rohilla, A Raj, S Kejriwal, R Kapoor
2016 International Conference on Computational Techniques in Information and …, 2016
82016
Robocodes: Towards generative street addresses from satellite imagery
I Demir, F Hughes, A Raj, K Tsourides, D Ravichandran, S Murthy, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
72017
Enhancement and retrieval of historic inscription images
S Indu, A Tomar, A Raj, S Chaudhury
Asian Conference on Computer Vision, 529-541, 2014
42014
Digitization of historic inscription images using cumulants based simultaneous blind source extraction
N Jayanthi, A Tomar, A Raj, S Indu, S Chaudhury
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014
22014
System and method for deep machine learning for computer vision applications
H Ren, M El-Khamy, J Lee, A Raj
US Patent App. 16/872,199, 2021
2021
Learning Augmentation Policy Schedules for Unsuperivsed Depth Estimation
A Raj
University of California, San Diego, 2020
2020
A Holistic Framework for Addressing the World using Machine Learning
I Demir, AR Forest Hughes, K Dhruv, SM Muddala, S Garg, B Doo, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2018
Supplementary Materials of SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation
H Ren, A Raj, M El-Khamy, J Lee
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Articles 1–12