Aditya Nigam
Geciteerd door
Geciteerd door
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
T Misra, A Arora, S Marwaha, V Chinnusamy, AR Rao, R Jain, RN Sahoo, ...
Plant methods 16, 1-20, 2020
An efficient finger-knuckle-print based recognition system fusing sift and surf matching scores
GS Badrinath, A Nigam, P Gupta
Information and Communications Security: 13th International Conference …, 2011
Multiple texture information fusion for finger-knuckle-print authentication system
A Nigam, K Tiwari, P Gupta
Neurocomputing 188, 190-205, 2016
PVSNet: Palm vein authentication siamese network trained using triplet loss and adaptive hard mining by learning enforced domain specific features
D Thapar, G Jaswal, A Nigam, V Kanhangad
2019 IEEE 5th international conference on identity, security, and behavior …, 2019
Designing an accurate hand biometric based authentication system fusing finger knuckleprint and palmprint
A Nigam, P Gupta
Neurocomputing 151, 1120-1132, 2015
Iris segmentation using improved hough transform
A Bendale, A Nigam, S Prakash, P Gupta
Emerging Intelligent Computing Technology and Applications: 8th …, 2012
A comprehensive survey and deep learning-based approach for human recognition using ear biometric
A Kamboj, R Rani, A Nigam
The Visual Computer 38 (7), 2383-2416, 2022
VGR-net: A view invariant gait recognition network
D Thapar, A Nigam, D Aggarwal, P Agarwal
2018 IEEE 4th international conference on identity, security, and behavior …, 2018
Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss
A Thakur, D Thapar, P Rajan, A Nigam
The Journal of the Acoustical Society of America 146 (1), 534-547, 2019
PixISegNet: pixel‐level iris segmentation network using convolutional encoder–decoder with stacked hourglass bottleneck
RR Jha, G Jaswal, D Gupta, S Saini, A Nigam
IET biometrics 9 (1), 11-24, 2020
DeepKnuckle: revealing the human identity
G Jaswal, A Nigam, R Nath
Multimedia Tools and Applications 76 (18), 18955-18984, 2017
Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach
S Bhilare, G Jaswal, V Kanhangad, A Nigam
Machine Vision and Applications 29 (8), 1269-1286, 2018
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach
PK Jain, S Gupta, A Bhavsar, A Nigam, N Sharma
Medical & Biological Engineering & Computing 58, 471-482, 2020
3D face recognition using kinect
R Ajmera, A Nigam, P Gupta
Proceedings of the 2014 Indian conference on computer vision graphics and …, 2014
Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features
D Thapar, G Jaswal, A Nigam, C Arora
Pattern Recognition Letters 125, 646-653, 2019
VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck.
A Mishra, S Kumar, A Nigam, S Islam
BMVC 274, 2019
A new distance measure for face recognition system
A Nigam, P Gupta
2009 Fifth International Conference on Image and Graphics, 696-701, 2009
Finger knuckleprint based recognition system using feature tracking
A Nigam, P Gupta
Biometric Recognition: 6th Chinese Conference, CCBR 2011, Beijing, China …, 2011
Iris recognition using consistent corner optical flow
A Nigam, P Gupta
Asian Conference on Computer Vision, 358-369, 2012
Hierarchical X-ray report generation via pathology tags and multi head attention
P Srinivasan, D Thapar, A Bhavsar, A Nigam
Proceedings of the Asian Conference on Computer Vision, 2020
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Artikelen 1–20