Akash Kumar
Berkeley, California, United States
Summary
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SeniorAakash Kumar is a Ph.D. candidate and graduate research assistant at UCF specializing in 3D human perception from radar and LiDAR, with eight years of experience bridging signal processing and deep learning. He builds spatio-temporal transformer architectures and self-supervised methods for radar-based human pose estimation, multi-object tracking, and LiDAR detection, with work supported by Lockheed Martin and published at IEEE IROS. During a research internship at Dolby he developed a patent-pending mmWave radar point transformer for privacy-preserving human activity recognition, demonstrating an uncommon focus on non-visual ambient intelligence. Comfortable moving ideas from research to applied systems, he brings hardware-aware sensing expertise grounded in electrical engineering and international training from Shanghai Jiao Tong University.
9 years of coding experience
Stackoverflow
483reputation
218kreached
17answers
1question
Github Skills (67)
image-processing10
style-transfer10
semi-supervised-learning10
few-shot-learning10
google-maps10
representation-learning10
video-understanding10
facenet10
computer-vision10
transfer-learning10
edge-detection10
casia10
classification10
ensemble-learning10
satellite-images10
Programming languages (3)
Github contributions (5)
AKASH2907/pi-consistency-activity-detection
Apr 2021 - Aug 2022
[CVPR 2022] End-to-End Semi-Supervised Learning for Video Action Detection
Contributions:51 commits, 27 pushes, 11 comments in 1 year 3 months
semi-supervised-learningdeep-learningactivity-detectionconsistency-regularizationcvpr2022
AKASH2907/deepfakes_video_classification
Jan 2020 - Jul 2022
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
Contributions:40 commits, 3 PRs, 28 pushes in 2 years 6 months
classificationlstmdeepfakesvideo-classificationkeras
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