Search Results - "Lovanshi, Mayank"

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  1. 1

    Human skeleton pose and spatio-temporal feature-based activity recognition using ST-GCN by Lovanshi, Mayank, Tiwari, Vivek

    Published in Multimedia tools and applications (01-02-2024)
    “…Skeleton-based Human Activity Recognition has recently sparked a lot of attention because skeleton data has proven resistant to changes in lighting, body…”
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    Journal Article
  2. 2

    Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction by Lovanshi, Mayank, Tiwari, Vivek, Ingle, Rajesh, Jain, Swati

    Published in IEEE transactions on human-machine systems (01-12-2024)
    “…The field of human motion prediction has gained prominence, finding applications in various domains such as intelligent surveillance and human-robot…”
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    Journal Article
  3. 3

    3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks by Lovanshi, Mayank, Tiwari, Vivek, Jain, Swati

    “…A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on…”
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    Journal Article
  4. 4

    3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model by Lovanshi, Mayank, Tiwari, Vivek, Ingle, Rajesh, Jain, Swati

    “…An encoder-decoder attention-based model has been employed to predict human action using a 3D skeleton-based human activity dataset. It offers and advocates a…”
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    Journal Article
  5. 5

    Human Pose Estimation: Benchmarking Deep Learning-based Methods by Lovanshi, Mayank, Tiwari, Vivek

    “…Human posture estimation (HPE) aims to detect human body parts and generate a demonstration of the human body with incoming data such as images and video. HPE…”
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    Conference Proceeding
  6. 6

    Role Identification from Human Activity Videos using Recurrent Neural Networks by Arshad, Anam, Tiwari, Vivek, Lovanshi, Mayank, Shrivastava, Rahul

    “…Recognizing the underlying roles in mutual activity is more informative. Role identification has the potential to improve wide range of applications, of…”
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    Conference Proceeding
  7. 7

    Predicting Alzheimer's Disease Progression and Stage Classification using Deep Learning Model by Lovanshi, Mayank, Tiwari, Vivek, Singh, Anurag, Ingle, Rajesh

    “…Alzheimer's disease (AD) is a progressive neurodegenerative condition that impacts millions of people globally. This study presents an encoder-decoder…”
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    Conference Proceeding
  8. 8

    Integrating IoT, Edge, and Cloud Computing for Early Prediction of Type 2 Diabetes: A Machine Learning-Driven Smart Healthcare Approach by Kashyap, Tarun, Neware, Dewashish, Ingle, Rajesh, Lovanshi, Mayank, Kumar, Santosh

    “…As diabetes continues to be one of the most prevalent chronic illnesses worldwide, affecting approximately 537 million individuals according to the IDF…”
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    Conference Proceeding
  9. 9

    Language-Guided Contextual Transformer Network for Referring Video Object Segmentation by Yadav, Akash, Helode, Aditya, Verma, Vishnu Prasad, Lovanshi, Mayank, K G, Srinivasa

    “…Referring video object segmentation (RVOS) seeks to segment objects contained inside a video clip by creating a segmentation mask for the referred object by…”
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    Conference Proceeding
  10. 10

    Audio Encryption Optimization by Bijlani, Harsh, Gupta, Dikshant, Lovanshi, Mayank

    “…The issue of security and privacy of data due to interception and improper manipulation by eavesdropper has a consequential effect based on the value of the…”
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    Conference Proceeding