Aakash Kumar

According to our database, Aakash Kumar authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Improving Code-Mixed Hate Detection by Native Sample Mixing: A Case Study for Hindi-English Code-Mixed Scenario.

Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2025

MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting.

Avinash Rohra, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Munawar Ali, Yang Li

Pattern Anal. Appl., March, 2025

DSQN: Robust path planning of mobile robot based on deep spiking Q-network.

Aakash Kumar, Lei Zhang, Hazrat Bilal, Shifeng Wang, Ali Muhammad Shaikh, Bo Lu, Avinash Rohra, Alisha Khalid

Neurocomputing, 2025

Multi-modal brain image fusion using multi feature guided fusion network.

Tom Michael Shibu, Niranjan Madan, Nirmala Paramanandham, Aakash Kumar, Ashwin Santosh

Biomed. Signal Process. Control., 2025

2024

Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs.

Aakash Kumar, Shifeng Wang, Ali Muhammad Shaikh, Hazrat Bilal, Bo Lu, Shigeng Song

Int. J. Mach. Learn. Cybern., September, 2024

Efficient Bayesian CNN Model Compression using Bayes by Backprop and L1-Norm Regularization.

Ali Muhammad Shaikh, Yun-Bo Zhao, Aakash Kumar, Munawar Ali, Yu Kang

Neural Process. Lett., April, 2024

Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection.

Munawar Ali, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Ali Muhammad Shaikh, Avinash Rohra

Multim. Tools Appl., April, 2024

Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection.

Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro

CoRR, 2024

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data.

Aakash Kumar, Chen Chen, Ajmal Mian, Neils Lobo, Mubarak Shah

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

FMIP: Feature Map Importance Pruning for Efficient CNN Optimization.

Ali Muhammad Shaikh, Yunbo Zhao, Yu Kang, Aakash Kumar

Proceedings of the 7th International Conference on Algorithms, 2024

2023

Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach.

Hazrat Bilal, Baoqun Yin, Aakash Kumar, Munawar Ali, Jing Zhang, Jinfa Yao

Soft Comput., April, 2023

2022

CorrNet: pearson correlation based pruning for efficient convolutional neural networks.

Aakash Kumar, Baoqun Yin, Ali Muhammad Shaikh, Munawar Ali, Wenyue Wei

Int. J. Mach. Learn. Cybern., 2022

Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars.

Aakash Kumar

CoRR, 2022

Evaluation of Assocation Rule-based Routing Protocol for OppNet.

Renu Dalal, Manju Khari, Aakash Kumar, Deepak Kumar Sharma

Mechatron. Syst. Control., 2022

Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds.

Aakash Kumar, Jyoti Kini, Ajmal Mian, Mubarak Shah

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Depth and edge auxiliary learning for still image crowd density estimation.

Sifan Peng, Baoqun Yin, Xiaoliang Hao, Qianqian Yang, Aakash Kumar, Luyang Wang

Pattern Anal. Appl., 2021

PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21).

Aakash Kumar, Jyoti Kini, Mubarak Shah, Ajmal Mian

CoRR, 2021

Pruning filters with L1-norm and capped L1-norm for CNN compression.

Aakash Kumar, Ali Muhammad Shaikh, Yun Li, Hazrat Bilal, Baoqun Yin

Appl. Intell., 2021

2019

Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks.

Yun Li, Luyang Wang, Sifan Peng, Aakash Kumar, Baoqun Yin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Contrasting Cases Enhance Transfer of Physics Knowledge from an Engineering Design Task.

Catherine C. Chase, Laura J. Malkiewich, Aakash Kumar

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018