no code implementations • 25 Aug 2022 • Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu
To enable W-TAL models to learn from a long, untrimmed streaming video, we propose an efficient video learning approach that can directly adapt to new environments.
Action Detection Weakly-supervised Temporal Action Localization +1
no code implementations • 4 Jul 2022 • Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
In particular, we explore the use of processing-in-memory (PIM) approaches, mobile GPU accelerators, and recently released FPGAs, and compare them with novel Racetrack memory PIM.
no code implementations • 18 Feb 2022 • Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu
In this work, we design EF-Train, an efficient DNN training accelerator with a unified channel-level parallelism-based convolution kernel that can achieve end-to-end training on resource-limited low-power edge-level FPGAs.