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ORCIDPulkit Kumar
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2020 – today
- 2026
[i11]Vatsal Agarwal, Saksham Suri, Matthew Gwilliam, Pulkit Kumar, Abhinav Shrivastava:
Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory. CoRR abs/2602.18434 (2026)- 2025
- [j2]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:
A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions. Frontiers Artif. Intell. 8 (2025) - [i10]Pulkit Kumar, Shuaiyi Huang, Matthew Walmer, Sai Saketh Rambhatla, Abhinav Shrivastava:
Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition. CoRR abs/2508.03695 (2025) - 2024
- [c7]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. CVPR 2024: 10957-10967 - [c6]Pulkit Kumar
, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava:
Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition. ECCV (36) 2024: 474-493 - [p2]Harpreet Kaur Channi, Pulkit Kumar, Ramandeep Sandhu, Fathy A. Syam:
Energy storage using computer vision: control and optimization of energy storage. Computer Vision and Machine Intelligence for Renewable Energy Systems 2024: 223-239 - [p1]Harpreet Kaur Channi, Pulkit Kumar:
Machine learning in renewable energy: classification techniques for identifying sources and features. Computer Vision and Machine Intelligence for Renewable Energy Systems 2024: 281-294 - [i9]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 abs/2401.10217 (2024) - [i8]Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava:
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition. CoRR abs/2407.18249 (2024) - 2020
- [j1]Michelle Tang, Pulkit Kumar, Hao Chen, Abhinav Shrivastava:
Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder. J. Imaging 6(6): 47 (2020)
2010 – 2019
- 2019
- [c5]Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava:
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data. SOCO 2019: 273-280 - [i7]Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava:
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data. CoRR abs/1901.03860 (2019) - 2018
- [c4]Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava:
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. ICIAR 2018: 546-552 - [c3]Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta:
U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. ICIP 2018: 3503-3507 - [c2]Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan:
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans. ISBI 2018: 281-284 - [i6]Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta:
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool. CoRR abs/1806.04429 (2018) - [i5]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 abs/1810.07961 (2018) - 2017
- [c1]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: 9-16 - [i4]Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan:
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans. CoRR abs/1710.04934 (2017) - [i3]Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal, Pulkit Kumar:
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks. CoRR abs/1710.09180 (2017) - [i2]Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava:
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. CoRR abs/1711.08760 (2017) - [i1]Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag:
A Big Data Analysis Framework Using Apache Spark and Deep Learning. CoRR abs/1711.09279 (2017)
Coauthor Index
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last updated on 2026-03-31 02:15 CEST by the dblp team
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