Artikel dengan mandat akses publik - Ayan ChakrabartiPelajari lebih lanjut
Tersedia di suatu tempat: 26
Depth from a single image by harmonizing overcomplete local network predictions
A Chakrabarti, J Shao, G Shakhnarovich
Advances in Neural Information Processing Systems, 2658-2666, 2016
Mandat: US National Science Foundation
Learning privacy preserving encodings through adversarial training
F Pittaluga, S Koppal, A Chakrabarti
IEEE Winter Conference on Applications of Computer Vision (WACV), 791-799, 2019
Mandat: US National Science Foundation, US Department of Defense
Basis Prediction Networks for Effective Burst Denoising with Large Kernels
Z Xia, F Perazzi, M Gharbi, K Sunkavalli, A Chakrabarti
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11844 …, 2020
Mandat: US National Science Foundation
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures
K Yee, A Chakrabarti
IEEE Winter Conference on Applications of Computer Vision (WACV), 183-191, 2020
Mandat: US National Science Foundation
Backprop with Approximate Activations for Memory-efficient Network Training
A Chakrabarti, B Moseley
Advances in Neural Information Processing Systems, 2426-2435, 2019
Mandat: US National Science Foundation
Identifying recurring patterns with deep neural networks for natural image denoising
Z Xia, A Chakrabarti
IEEE Winter Conference on Applications of Computer Vision (WACV), 2426-2434, 2020
Mandat: US National Science Foundation
Single-image RGB photometric stereo with spatially-varying albedo
A Chakrabarti, K Sunkavalli
2016 Fourth International Conference on 3D Vision (3DV), 258-266, 2016
Mandat: US National Science Foundation
Generating and Exploiting Probabilistic Monocular Depth Estimates
Z Xia, P Sullivan, A Chakrabarti
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 65-74, 2020
Mandat: US National Science Foundation
Towards a MEMS-based Adaptive LIDAR
F Pittaluga, Z Tasneem, J Folden, B Tilmon, A Chakrabarti, SJ Koppal
International Conference on 3D Vision (3DV), 2020
Mandat: US National Science Foundation, US Department of Defense
NeuADC: Neural network-inspired synthesizable analog-to-digital conversion
W Cao, X He, A Chakrabarti, X Zhang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
Mandat: US National Science Foundation
Training Image Estimators without Image Ground Truth
Z Xia, A Chakrabarti
Advances in Neural Information Processing Systems, 2436-2446, 2019
Mandat: US National Science Foundation
Deep denoising of flash and no-flash pairs for photography in low-light environments
Z Xia, M Gharbi, F Perazzi, K Sunkavalli, A Chakrabarti
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Mandat: US National Science Foundation
Adaptive edge offloading for image classification under rate limit
J Qiu, R Wang, A Chakrabarti, R Guérin, C Lu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
Mandat: US National Science Foundation
Adversarial robustness of deep sensor fusion models
S Wang, T Wu, A Chakrabarti, Y Vorobeychik
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
Mandat: US National Science Foundation, US Department of Defense
NeuADC: Neural network-inspired RRAM-based synthesizable analog-to-digital conversion with reconfigurable quantization support
W Cao, X He, A Chakrabarti, X Zhang
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
Mandat: US National Science Foundation
Learning to Separate Multiple Illuminants in a Single Image
Z Hui, A Chakrabarti, K Sunkavalli, AC Sankaranarayanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3780-3789, 2019
Mandat: US National Science Foundation, US Department of Defense
Evaluating neural network-inspired analog-to-digital conversion with low-precision RRAM
W Cao, L Ke, A Chakrabarti, X Zhang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
Mandat: US National Science Foundation
Jointly optimizing placement and inference for beacon-based localization
C Schaff, D Yunis, A Chakrabarti, MR Walter
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Mandat: US National Science Foundation
Leca: In-sensor learned compressive acquisition for efficient machine vision on the edge
T Ma, AJ Boloor, X Yang, W Cao, P Williams, N Sun, A Chakrabarti, ...
Proceedings of the 50th Annual International Symposium on Computer …, 2023
Mandat: US National Science Foundation
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices
W Cao, L Ke, A Chakrabarti, X Zhang
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2019
Mandat: US National Science Foundation
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