Debapriya Maji
Debapriya Maji
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Zitiert von
Jahr
Ensemble of deep convolutional neural networks for learning to detect retinal vessels in fundus images
D Maji, A Santara, P Mitra, D Sheet
arXiv preprint arXiv:1603.04833, 2016
1162016
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images
D Maji, A Santara, S Ghosh, D Sheet, P Mitra
2015 37th annual international conference of the IEEE Engineering in …, 2015
562015
Ensemble of deep convolutional neural networks for learning to detect retinal vessels in fundus images. arXiv 2016
D Maji, A Santara, P Mitra, D Sheet
arXiv preprint arXiv:1603.04833, 0
6
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training
A Santara, D Maji, DP Tejas, P Mitra, A Gupta
arXiv preprint arXiv:1603.02836, 2016
52016
Object detection for distorted images
D Poddar, S Nagori, M Mathew, M Debapriya
US Patent App. 16/588,157, 2020
22020
SS3D: single shot 3D object detector
A Limaye, M Mathew, S Nagori, PK Swami, D Maji, K Desappan
arXiv preprint arXiv:2004.14674, 2020
22020
Deep learning based parking spot detection and classification in fish-eye images
D Poddar, S Nagori, M Mathew, D Maji, H Garud
2019 IEEE International Conference on Electronics, Computing and …, 2019
12019
Parametric Power-Of-2 Clipping Activations for Quantization for Convolutional Neural Networks
M Mathew, K Desappan, SN Nagori, M Debapriya, PK Swami
US Patent App. 17/117,271, 2021
2021
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