Brejesh Lall
Brejesh Lall
Professor, Elect. Engg., IIT Delhi
Verified email at - Homepage
Cited by
Cited by
Modeling and prediction of COVID-19 pandemic using Gaussian mixture model
A Singhal, P Singh, B Lall, SD Joshi
Chaos, Solitons & Fractals 138, 110023, 2020
6G for bridging the digital divide: Wireless connectivity to remote areas
A Chaoub, M Giordani, B Lall, V Bhatia, A Kliks, L Mendes, K Rabie, ...
IEEE Wireless Communications 29 (1), 160-168, 2021
Performance analysis of amplitude modulation schemes for diffusion-based molecular communication
A Singhal, RK Mallik, B Lall
IEEE Transactions on Wireless Communications 14 (10), 5681-5691, 2015
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
A 6G white paper on connectivity for remote areas
H Saarnisaari, S Dixit, MS Alouini, A Chaoub, M Giordani, A Kliks, ...
arXiv preprint arXiv:2004.14699, 2020
Deep learning-based approach for identification of diseases of maize crop
MA Haque, S Marwaha, CK Deb, S Nigam, A Arora, KS Hooda, ...
Scientific reports 12 (1), 6334, 2022
Learning activation functions: A new paradigm for understanding neural networks
M Goyal, R Goyal, B Lall
arXiv preprint arXiv:1906.09529, 2019
Few shot speaker recognition using deep neural networks
P Anand, AK Singh, S Srivastava, B Lall
arXiv preprint arXiv:1904.08775, 2019
Multi-channel local ternary pattern for content-based image retrieval
M Agarwal, A Singhal, B Lall
Pattern Analysis and Applications 22, 1585-1596, 2019
Improving collaborative filtering based recommenders using topic modelling
J Wilson, S Chaudhury, B Lall
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014
Activation functions
M Goyal, R Goyal, P Venkatappa Reddy, B Lall
Deep learning: Algorithms and applications, 1-30, 2020
Automatic quantification of plant disease from field image data using deep learning
K Garg, S Bhugra, B Lall
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
Object cosegmentation using deep siamese network
P Mukherjee, B Lall, S Lattupally
arXiv preprint arXiv:1803.02555, 2018
System and method for object based parametric video coding
S Chaudhury, M Mathur, A Khandelia, S Tripathi, B Lall, SD Roy, ...
US Patent 8,848,802, 2014
Review on machine learning-based bioprocess optimization, monitoring, and control systems
PP Mondal, A Galodha, VK Verma, V Singh, PL Show, MK Awasthi, B Lall, ...
Bioresource technology 370, 128523, 2023
Deep convolutional neural networks based framework for estimation of stomata density and structure from microscopic images
S Bhugra, D Mishra, A Anupama, S Chaudhury, B Lall, A Chugh, ...
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
A flexible architecture for multi-view 3DTV based on uncalibrated cameras
M Sharma, S Chaudhury, B Lall, MS Venkatesh
Journal of Visual Communication and Image Representation 25 (4), 599-621, 2014
Aerial multi-object tracking by detection using deep association networks
A Jadhav, P Mukherjee, V Kaushik, B Lall
2020 National Conference on Communications (NCC), 1-6, 2020
3D local ternary co-occurrence patterns for natural, texture, face and bio medical image retrieval
M Agarwal, A Singhal, B Lall
Neurocomputing 313, 333-345, 2018
Saliency and KAZE features assisted object segmentation
P Mukherjee, B Lall
Image and Vision Computing 61, 82-97, 2017
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