Pulkit Kumar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Tissue Segmentation

Training And Test Data

Top Venues

Publications

Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition. CoRR (2024)
Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions. CoRR (2024)
Michelle Tang, Pulkit Kumar, Hao Chen, Abhinav Shrivastava
Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder. J. Imaging 6 (6) (2020)
Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data. SOCO (2019)
Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data. CoRR (2019)
Simmi, Sonaal Kant, Pulkit Kumar, Anubha Gupta, Ritu Gupta
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer. CoRR (2018)
Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool. CoRR (2018)
Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta
U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. ICIP (2018)
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. ICIAR (2018)
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans. ISBI (2018)
Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag
A Big Data Analysis Framework Using Apache Spark and Deep Learning. ICDM Workshops (2017)
Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal, Pulkit Kumar
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks. CoRR (2017)
Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag
A Big Data Analysis Framework Using Apache Spark and Deep Learning. CoRR (2017)
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans. CoRR (2017)
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. CoRR (2017)