Scholar
Akash Kumar
Google Scholar ID: gsHhV5kAAAAJ
PhD student, University of Central Florida
Citations & Impact
Citations
368
H-index
10
i10-index
11
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Publications: STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding (CVPR 2025); Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding (ICLR 2025); Stable Mean Teacher for Semi-Supervised Video Action Detection (AAAI 2025); Semi-supervised Active Learning for Video Action Detection (AAAI 2024); Benchmarking self-supervised video representation learning (NeurIPS Workshops 2023). Awards: UCF Doctoral Research Support Award 2025; ICLR Student Travel Award 2025; WACV Student Travel Award 2025; AAAI Student Travel Award 2025; Selected for Doctoral Consortium at IEEE/CVF WACV 2025.
Research Experience
- Summer 2025: Applied Scientist Intern at Amazon, Bellevue, WA, Project: Spatio-Temporal Anomaly Detection. Summer 2024: Applied Scientist Intern at Amazon, Palo Alto, CA, Project: Towards Open-vocabulary Video Object Understanding.
Education
- PhD student, Center for Research in Computer Vision (CRCV), University of Central Florida (UCF), Advisor: Prof. Yogesh Singh Rawat.
Background
- Research Interests: Deep learning and computer vision; Current research focus: Data-efficient approaches for dense video tasks.
Miscellany
- Personal interests not mentioned.
