| 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 | 143 | 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 | 123 | 2021 |
| 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 | 113 | 2022 |
| 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 | 102 | 2020 |
| 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 | 88 | 2015 |
| 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 | 81 | 2023 |
| 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 | 74 | 2017 |
| Learning activation functions: A new paradigm for understanding neural networks M Goyal, R Goyal, B Lall arXiv preprint arXiv:1906.09529, 2019 | 71 | 2019 |
| Visdrone-mot2019: The vision meets drone multiple object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 63 | 2019 |
| 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 | 54 | 2021 |
| Activation functions M Goyal, R Goyal, P Venkatappa Reddy, B Lall Deep learning: Algorithms and applications, 1-30, 2020 | 49 | 2020 |
| Few shot speaker recognition using deep neural networks P Anand, AK Singh, S Srivastava, B Lall arXiv preprint arXiv:1904.08775, 2019 | 48 | 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 | 47 | 2019 |
| Methods and systems for providing multivariate time series clustering for customer segmentation J Wilson, P Kapadia, V Vasudevan, S Chaudhury, B Lall US Patent 10,853,828, 2020 | 45 | 2020 |
| 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 | 42 | 2014 |
| 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 | 35 | 2018 |
| Object cosegmentation using deep siamese network P Mukherjee, B Lall, S Lattupally arXiv preprint arXiv:1803.02555, 2018 | 34 | 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 | 34 | 2014 |
| 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 | 33 | 2014 |
| Saliency and KAZE features assisted object segmentation P Mukherjee, B Lall Image and Vision Computing 61, 82-97, 2017 | 32 | 2017 |
