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2020 – today
- 2025
[j9]Tom Michael Shibu, Niranjan Madan, Nirmala Paramanandham, Aakash Kumar, Ashwin Santosh:
Multi-modal brain image fusion using multi feature guided fusion network. Biomed. Signal Process. Control. 100: 107060 (2025)- 2024
- [j8]Aakash Kumar
, Shifeng Wang, Ali Muhammad Shaikh, Hazrat Bilal, Bo Lu, Shigeng Song:
Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs. Int. J. Mach. Learn. Cybern. 15(9): 4175-4191 (2024) - [j7]Munawar Ali, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Ali Muhammad Shaikh, Avinash Rohra:
Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. Multim. Tools Appl. 83(12): 36307-36327 (2024) - [j6]Ali Muhammad Shaikh, Yun-Bo Zhao, Aakash Kumar, Munawar Ali, Yu Kang:
Efficient Bayesian CNN Model Compression using Bayes by Backprop and L1-Norm Regularization. Neural Process. Lett. 56(2): 140 (2024) - [i5]Aakash Kumar, Chen Chen, Ajmal Mian, Neils Lobo, Mubarak Shah:
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data. CoRR abs/2404.06715 (2024) - [i4]Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro:
Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario. CoRR abs/2405.20755 (2024) - 2023
- [j5]Hazrat Bilal, Baoqun Yin, Aakash Kumar, Munawar Ali, Jing Zhang, Jinfa Yao:
Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach. Soft Comput. 27(7): 4029-4039 (2023) - [i3]Munawar Ali, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Ali Muhammad Shaikh, Avinash Rohra:
Advanced Efficient Strategy for Detection of Dark Objects Based on Spiking Network with Multi-Box Detection. CoRR abs/2310.06370 (2023) - 2022
- [j4]Renu Dalal, Manju Khari, Aakash Kumar, Deepak Kumar Sharma:
Evaluation of Assocation Rule-based Routing Protocol for OppNet. Mechatron. Syst. Control. 50(2) (2022) - [j3]Aakash Kumar, Baoqun Yin, Ali Muhammad Shaikh, Munawar Ali, Wenyue Wei:
CorrNet: pearson correlation based pruning for efficient convolutional neural networks. Int. J. Mach. Learn. Cybern. 13(12): 3773-3783 (2022) - [c3]Aakash Kumar, Jyoti Kini, Ajmal Mian, Mubarak Shah:
Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds. IROS 2022: 3754-3761 - [i2]Aakash Kumar:
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars. CoRR abs/2202.07815 (2022) - 2021
- [j2]Aakash Kumar, Ali Muhammad Shaikh, Yun Li, Hazrat Bilal, Baoqun Yin:
Pruning filters with L1-norm and capped L1-norm for CNN compression. Appl. Intell. 51(2): 1152-1160 (2021) - [j1]Sifan Peng, Baoqun Yin, Xiaoliang Hao, Qianqian Yang, Aakash Kumar, Luyang Wang:
Depth and edge auxiliary learning for still image crowd density estimation. Pattern Anal. Appl. 24(4): 1777-1792 (2021) - [i1]Aakash Kumar, Jyoti Kini, Mubarak Shah, Ajmal Mian:
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21). CoRR abs/2106.07552 (2021)
2010 – 2019
- 2019
- [c2]Yun Li, Luyang Wang, Sifan Peng, Aakash Kumar, Baoqun Yin:
Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks. ICANN (2) 2019: 263-274 - 2018
- [c1]Catherine C. Chase, Laura J. Malkiewich, Aakash Kumar:
Contrasting Cases Enhance Transfer of Physics Knowledge from an Engineering Design Task. CogSci 2018
Coauthor Index
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