Automatic human activity recognition in video using background modeling and spatio-temporal template matching based technique. - Chandra Mani Sharma; Alok Kumar Singh Kushwaha; Swati Nigam; Ashish Khare (ACAI, 2011)

Vision based method for object classification and multiple human activity recognition in video survelliance system. - Alok Kumar Singh Kushwaha; Maheshkumar H. Kolekar; Ashish Khare (CUBE, 2012)

Rule based human activity recognition for surveillance system. - Alok Kumar Singh Kushwaha; Om Prakash 001; Ashish Khare; Maheshkumar H. Kolekar (IHCI, 2012)

An approach towards wavelet transform based multiclass object classification. - Manish Khare; Alok Kumar Singh Kushwaha; Rajneesh Kumar Srivastava; Ashish Khare (IC3, 2013)

Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor. - Ishan Agarwal; Alok Kumar Singh Kushwaha; Rajeev Srivastava (NCVPRIPG, 2015)

Multiview human activity recognition system based on spatiotemporal template for video surveillance system. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (J. Electronic Imaging, 2015)

Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (J. Electronic Imaging, 2015)

A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (Trans. Comput. Sci., 2015)

Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (Comput. J., 2016)

Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Tools Appl., 2016)

Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns. - Alok Kumar Singh Kushwaha; Subodh Srivastava; Rajeev Srivastava (Multim. Syst., 2017)

Multiclass Object Recognition and Classification Using Boosting Technique. - Harpreet Singh; Dinesh Gupta; Alok Kumar Singh Kushwaha (ICCCNT, 2018)

Deep survey on visual object tracking in surveillance environment. - Kamaljit Kaur; Rajat Khurana; Alok Kumar Singh Kushwaha (RICE, 2018)

A Deep Survey on Human Activity Recognition in Video Surveillance. - Rajat Khurana; Alok Kumar Singh Kushwaha (RICE, 2018)

Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition. - Roshan Singh; Jagwinder Kaur Dhillon; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Tools Appl., 2019)

Multi-view recognition system for human activity based on multiple features for video surveillance system. - Roshan Singh; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Tools Appl., 2019)

Combining CNN streams of dynamic image and depth data for action recognition. - Roshan Singh; Rajat Khurana; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Syst., 2020)

A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning. - Roshan Singh; Rajat Khurana; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Role of Deep Learning in Tumor Malignancy Identification and Classification. - Chandni; Monika Sachdeva; Alok Kumar Singh Kushwaha (CVMI, 2022)

Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm. - Ramakant Chandrakar; Rohit Raja; Rohit Miri; Upasana Sinha; Alok Kumar Singh Kushwaha; Hiral Raja (Expert Syst. Appl., 2022)

A role-entity based human activity recognition using inter-body features and temporal sequence memory. - Rahul Shrivastava; Vivek Tiwari; Swati Jain; Basant Tiwari; Alok Kumar Singh Kushwaha; Vibhav Prakash Singh (IET Image Process., 2022)

Human Activity Recognition using Ensemble Convolutional Neural Networks and Long Short-Term Memory. - Sonika Jindal; Monika Sachdeva; Alok Kumar Singh Kushwaha (Int. J. Perform. Eng., 2022)

Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. - Neeraj Varshney; Brijesh Bakariya; Alok Kumar Singh Kushwaha (Multim. Tools Appl., 2022)

Human activity recognition by combining external features with accelerometer sensor data using deep learning network model. - Neeraj Varshney; Brijesh Bakariya; Alok Kumar Singh Kushwaha; Manish Khare (Multim. Tools Appl., 2022)

Recent trends in human activity recognition - A comparative study. - Roshan Singh; Alok Kumar Singh Kushwaha; Chandni; Rajeev Srivastava (Cogn. Syst. Res., 2023)

The power of deep learning for intelligent tumor classification systems: A review. - Chandni; Monika Sachdeva; Alok Kumar Singh Kushwaha (Comput. Electr. Eng., 2023)

IRNetv: A deep learning framework for automated brain tumor diagnosis. - Chandni; Monika Sachdeva; Alok Kumar Singh Kushwaha (Biomed. Signal Process. Control., 2024)

Automated Human Action Recognition with Improved Graph Convolutional Network-based Pose Estimation. - Amit Baghel; Alok Kumar Singh Kushwaha; Roshan Singh (Int. J. Pattern Recognit. Artif. Intell., 2025)

AI-based intelligent hybrid framework (BO-DenseXGB) for multi- classification of brain tumor using MRI. - Chandni; Monika Sachdeva; Alok Kumar Singh Kushwaha (Image Vis. Comput., 2025)

TFF-temporal fusion framework for advancing video retrieval through long-range dependencies and multi-modal intent. - Pratibha Singh; Kashvi Chakrawal; Alok Kumar Singh Kushwaha (Mach. Vis. Appl., 2025)

Key frame extraction algorithm for video summarization based on key frame extraction using sliding window. - Pratibha Singh; Alok Kumar Singh Kushwaha (Multim. Tools Appl., 2025)

Detecting deepfake videos: an enhanced hybrid deep learning model. - Raksha Pandey; Alok Kumar Singh Kushwaha (Signal Image Video Process., 2025)