39 citations · 46 across the 3 of their papers we have counts for
3 papers
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs
Shi-Yu Huang, Yun-Chen Yang, Yu-Ru Su +6
In-time particle trajectory reconstruction in the Large Hadron Collider is challenging due to the high collision rate and numerous particle hits. Using GNN (Graph Neural Network) o…
Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang +12
The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction…
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition
Edwin Arkel Rios, Wen-Huang Cheng, Bo-Cheng Lai
In this work we tackle the challenging problem of anime character recognition. Anime, referring to animation produced within Japan and work derived or inspired from it. For this pu…