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Alok Kumar Singh Kushwaha
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2020 – today
- 2024
- [j20]Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha:
IRNetv: A deep learning framework for automated brain tumor diagnosis. Biomed. Signal Process. Control. 87(Part B): 105459 (2024) - [j19]Raksha Pandey, Alok Kumar Singh Kushwaha, Vinay Kumar:
Detecting video forgery: A machine learning approach for consistency analysis of video frames. J. Intell. Fuzzy Syst. 46(3): 6807-6820 (2024) - 2023
- [j18]Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
:
The power of deep learning for intelligent tumor classification systems: A review. Comput. Electr. Eng. 106: 108586 (2023) - [j17]Roshan Singh
, Alok Kumar Singh Kushwaha
, Chandni
, Rajeev Srivastava:
Recent trends in human activity recognition - A comparative study. Cogn. Syst. Res. 77: 30-44 (2023) - [j16]Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha
, Manish Khare:
Rule-based multi-view human activity recognition system in real time using skeleton data from RGB-D sensor. Soft Comput. 27(1): 405-421 (2023) - 2022
- [j15]Ramakant Chandrakar, Rohit Raja
, Rohit Miri, Upasana Sinha, Alok Kumar Singh Kushwaha
, Hiral Raja:
Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm. Expert Syst. Appl. 191: 116306 (2022) - [j14]Rahul Shrivastava
, Vivek Tiwari, Swati Jain, Basant Tiwari
, Alok Kumar Singh Kushwaha
, Vibhav Prakash Singh
:
A role-entity based human activity recognition using inter-body features and temporal sequence memory. IET Image Process. 16(11): 2911-2921 (2022) - [j13]Sonika Jindal, Monika Sachdeva, Alok Kumar Singh Kushwaha:
Human Activity Recognition using Ensemble Convolutional Neural Networks and Long Short-Term Memory. Int. J. Perform. Eng. 18(9): 660 (2022) - [j12]Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha
:
Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. Multim. Tools Appl. 81(16): 22307-22322 (2022) - [j11]Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha
, Manish Khare:
Human activity recognition by combining external features with accelerometer sensor data using deep learning network model. Multim. Tools Appl. 81(24): 34633-34652 (2022) - [c9]Chandni
, Monika Sachdeva
, Alok Kumar Singh Kushwaha
:
Role of Deep Learning in Tumor Malignancy Identification and Classification. CVMI 2022: 455-464 - 2021
- [j10]Roshan Singh
, Rajat Khurana, Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(1): 28-38 (2021) - 2020
- [j9]Roshan Singh
, Rajat Khurana, Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Combining CNN streams of dynamic image and depth data for action recognition. Multim. Syst. 26(3): 313-322 (2020)
2010 – 2019
- 2019
- [j8]Roshan Singh
, Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Multi-view recognition system for human activity based on multiple features for video surveillance system. Multim. Tools Appl. 78(12): 17165-17196 (2019) - [j7]Roshan Singh
, Jagwinder Kaur Dhillon, Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition. Multim. Tools Appl. 78(21): 30599-30614 (2019) - 2018
- [c8]Harpreet Singh, Dinesh Gupta, Alok Kumar Singh Kushwaha
:
Multiclass Object Recognition and Classification Using Boosting Technique. ICCCNT 2018: 1-6 - [c7]Kamaljit Kaur, Rajat Khurana, Alok Kumar Singh Kushwaha
:
Deep survey on visual object tracking in surveillance environment. RICE 2018: 1-6 - [c6]Rajat Khurana, Alok Kumar Singh Kushwaha
:
A Deep Survey on Human Activity Recognition in Video Surveillance. RICE 2018: 1-5 - 2017
- [j6]Alok Kumar Singh Kushwaha
, Subodh Srivastava
, Rajeev Srivastava
:
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns. Multim. Syst. 23(4): 451-467 (2017) - 2016
- [j5]Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression. Comput. J. 59(9): 1303-1329 (2016) - [j4]Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method. Multim. Tools Appl. 75(23): 16209-16264 (2016) - 2015
- [j3]Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Multiview human activity recognition system based on spatiotemporal template for video surveillance system. J. Electronic Imaging 24(5): 051004 (2015) - [j2]Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain. J. Electronic Imaging 24(5): 051005 (2015) - [j1]Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background. Trans. Comput. Sci. 25: 35-54 (2015) - [c5]Ishan Agarwal, Alok Kumar Singh Kushwaha
, Rajeev Srivastava
:
Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor. NCVPRIPG 2015: 1-4 - 2013
- [c4]Manish Khare, Alok Kumar Singh Kushwaha
, Rajneesh Kumar Srivastava, Ashish Khare:
An approach towards wavelet transform based multiclass object classification. IC3 2013: 365-368 - 2012
- [c3]Alok Kumar Singh Kushwaha
, Maheshkumar H. Kolekar, Ashish Khare:
Vision based method for object classification and multiple human activity recognition in video survelliance system. CUBE 2012: 47-52 - [c2]Alok Kumar Singh Kushwaha
, Om Prakash, Ashish Khare, Maheshkumar H. Kolekar:
Rule based human activity recognition for surveillance system. IHCI 2012: 1-6 - 2011
- [c1]Chandra Mani Sharma
, Alok Kumar Singh Kushwaha, Swati Nigam
, Ashish Khare:
Automatic human activity recognition in video using background modeling and spatio-temporal template matching based technique. ACAI 2011: 97-101
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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