Aakash Kumar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Action Detection

Multiple Object Tracking

Video Representation

Convolutional Neural Networks

Top Venues

Mechatron. Syst. Control.

Multim. Tools Appl.

Publications

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) (2024)
Aakash Kumar, Chen Chen, Ajmal Mian, Neils Lobo, Mubarak Shah
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data. CoRR (2024)
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) (2024)
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 (2024)
Aayush Jung Singh, Aayush J. Rana, Aakash Kumar, Shruti Vyas, Yogesh Singh Rawat
Semi-supervised Active Learning for Video Action Detection. CoRR (2023)
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 (2023)
Aakash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh Singh Rawat
Benchmarking self-supervised video representation learning. CoRR (2023)
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) (2023)
Aakash Kumar
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars. CoRR (2022)
Renu Dalal, Manju Khari, Aakash Kumar, Deepak K. Sharma
Evaluation of Assocation Rule-based Routing Protocol for OppNet. Mechatron. Syst. Control. 50 (2) (2022)
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) (2022)
Ishan R. Dave, Zacchaeus Scheffer, Aakash Kumar, Sarah Shiraz, Yogesh Singh Rawat, Mubarak Shah
GabriellaV2: Towards better generalization in surveillance videos for Action Detection. WACV (Workshops) (2022)
Aakash Kumar, Yogesh Singh Rawat
End-to-End Semi-Supervised Learning for Video Action Detection. CVPR (2022)
Aakash Kumar, Yogesh Singh Rawat
End-to-End Semi-Supervised Learning for Video Action Detection. CoRR (2022)
Rajat Modi, Aayush Jung Rana, Aakash Kumar, Praveen Tirupattur, Shruti Vyas, Yogesh Singh Rawat, Mubarak Shah
Video Action Detection: Analysing Limitations and Challenges. CoRR (2022)
Aakash Kumar, Jyoti Kini, Ajmal Mian, Mubarak Shah
Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds. IROS (2022)
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) (2021)
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 (2021)
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) (2021)
Yun Li, Luyang Wang, Sifan Peng, Aakash Kumar, Baoqun Yin
Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks. ICANN (2) (2019)
Catherine C. Chase, Laura J. Malkiewich, Aakash Kumar
Contrasting Cases Enhance Transfer of Physics Knowledge from an Engineering Design Task. CogSci (2018)