A Big Data Analysis Framework Using Apache Spark and Deep Learning. - Anand Gupta; Hardeo Kumar Thakur; Ritvik Shrivastava; Pulkit Kumar; Sreyashi Nag (ICDM Workshops, 2017)

Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks. - Srikrishna Varadarajan; Muktabh Mayank Srivastava; Monika Grewal; Pulkit Kumar (CoRR, 2017)

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. - Pulkit Kumar; Monika Grewal; Muktabh Mayank Srivastava (ICIAR, 2018)

U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. - Pulkit Kumar; Pravin Nagar; Chetan Arora 001; Anubha Gupta (ICIP, 2018)

RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans. - Monika Grewal; Muktabh Mayank Srivastava; Pulkit Kumar; Srikrishna Varadarajan (ISBI, 2018)

LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer. - Simmi; Sonaal Kant; Pulkit Kumar; Anubha Gupta; Ritu Gupta (CoRR, 2018)

Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data. - Harshita Seth; Pulkit Kumar; Muktabh Mayank Srivastava (SOCO, 2019)

Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder. - Michelle Tang; Pulkit Kumar; Hao Chen 066; Abhinav Shrivastava (J. Imaging, 2020)

Machine learning in renewable energy: classification techniques for identifying sources and features. - Harpreet Kaur Channi; Pulkit Kumar (Computer Vision and Machine Intelligence for Renewable Energy Systems, 2024)

Energy storage using computer vision: control and optimization of energy storage. - Harpreet Kaur Channi; Pulkit Kumar; Ramandeep Sandhu; Fathy A. Syam (Computer Vision and Machine Intelligence for Renewable Energy Systems, 2024)

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions. - Namitha Padmanabhan; Matthew Gwilliam; Pulkit Kumar; Shishira R. Maiya; Max Ehrlich; Abhinav Shrivastava (CVPR, 2024)

Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition. - Pulkit Kumar; Namitha Padmanabhan; Luke Luo; Sai Saketh Rambhatla; Abhinav Shrivastava (ECCV (36), 2024)

A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions. - Raman Kumar; Sarvesh Garg; Rupinder Kaur; M. G. M. Johar; Sehijpal Singh; Soumya V. Menon; Pulkit Kumar; Ali Mohammed Hadi; Shams Abbass Hasson; Jasmina Lozanovic (Frontiers Artif. Intell., 2025)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition. - Pulkit Kumar; Shuaiyi Huang; Matthew Walmer; Sai Saketh Rambhatla; Abhinav Shrivastava (CoRR, 2025)