Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose. - Pratishtha Verma; Rajeev Srivastava (J. Vis. Commun. Image Represent., 2020)

Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition. - Pratishtha Verma; Animesh Sah; Rajeev Srivastava (Multim. Syst., 2020)

Reconsideration of multi-stage deep network for human pose estimation. - Pratishtha Verma; Rajeev Srivastava (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

FExR.A-DCNN: Facial Emotion Recognition with Attention mechanism using Deep Convolution Neural Network. - Pratishtha Verma; Vasu Aggrawal; Jyoti Maggu (IC3, 2022)

Two-stage multi-view deep network for 3D human pose reconstruction using images and its 2D joint heatmaps through enhanced stack-hourglass approach. - Pratishtha Verma; Rajeev Srivastava (Vis. Comput., 2022)

Biometric Identification using Periocular Images with ViT-DeepSort and YOLOv7-GAN. - Pratishtha Verma (IC3I, 2024)

Clustering Techniques for Hyperspectral Images Using Joint Analysis Dictionary Learning. - Jyoti Maggu; Pratishtha Verma; Roshan Singh (SN Comput. Sci., 2024)

An Assessment Towards 2D and 3D Human Pose Estimation and its Applications to Activity Recognition: A Review. - Pratishtha Verma; Rajeev Srivastava; Santosh Kumar Tripathy (SN Comput. Sci., 2025)