Pulkit Kumar

According to our database, Pulkit Kumar authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, 2024

2020

Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder.

Michelle Tang, Pulkit Kumar, Hao Chen, Abhinav Shrivastava

J. Imaging, 2020

2019

Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data.

Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

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

RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans.

Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool.

Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs.

Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

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

A Big Data Analysis Framework Using Apache Spark and Deep Learning.

Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017