1 citations · 1 across the 7 of their papers we have counts for
7 papers
PL-NBA: A Possession-level Universal Basketball Video Dataset Supporting Multiple Visual Understanding Tasks
Yunhao Zhao, Haoying Sun, Jiarui Li +5
Visual understanding in sports has emerged as a hot topic in computer vision in recent years. Most existing basketball video datasets adopt single action or activity as sample, whi…
CLF-ULP: Cross-Layer Fusion-Based Link Prediction in Dynamic Multiplex UAV Networks
Cunlai Pu, Fangrui Wu, Zhe Wang +1
In complex Unmanned Aerial Vehicle (UAV) networks, UAVs can establish dynamic and heterogeneous links with one another for various purposes, such as communication coverage, collect…
IGA-LWP: An Iterative Gradient-based Adversarial Attack for Link Weight Prediction
Cunlai Pu, Xingyu Gao, Jinbi Liang +4
Link weight prediction extends classical link prediction by estimating the strength of interactions rather than merely their existence, and it underpins a wide range of application…
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu, Fangrui Wu, Rajput Ramiz Sharafat +2
Link prediction in unmanned aerial vehicle (UAV) ad hoc networks (UANETs) aims to predict the potential formation of future links between UAVs. In adversarial environments where th…
UnitedVLN: Generalizable Gaussian Splatting for Continuous Vision-Language Navigation
Guangzhao Dai, Jian Zhao, Yuantao Chen +6
Vision-and-Language Navigation (VLN), where an agent follows instructions to reach a target destination, has recently seen significant advancements. In contrast to navigation in di…
The SkatingVerse Workshop & Challenge: Methods and Results
Jian Zhao, Lei Jin, Jianshu Li +16
The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…
Line Graph Neural Networks for Link Weight Prediction
Jinbi Liang, Cunlai Pu, Xiangbo Shu +2
In real-world networks, predicting the weight (strength) of links is as crucial as predicting the existence of the links themselves. Previous studies have primarily used shallow gr…