activity
20212024
most citedVectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

6 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction

Yuping Hu, Xin Huang, Jiayi Li +1

Semantic segmentation techniques for extracting building footprints from high-resolution remote sensing images have been widely used in many fields such as urban planning. However,…

cs.CV2023

Inverting the Imaging Process by Learning an Implicit Camera Model

Xin Huang, Qi Zhang, Ying Feng +2

Representing visual signals with implicit coordinate-based neural networks, as an effective replacement of the traditional discrete signal representation, has gained considerable p…

cs.CV20232 cited

Local Implicit Ray Function for Generalizable Radiance Field Representation

Xin Huang, Qi Zhang, Ying Feng +3

We propose LIRF (Local Implicit Ray Function), a generalizable neural rendering approach for novel view rendering. Current generalizable neural radiance fields (NeRF) methods sampl…

stat.ME2023

A nonlinearity and model specification test for functional time series

Xin Huang, Han Lin Shang, Tak Kuen Siu

An important issue in functional time series analysis is whether an observed series comes from a purely random process. We extend the BDS test, a widely-used nonlinear independence…

cs.CV20226 cited

VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

Xin Huang, Xiaoyu Tian, Junru Gu +2

Predicting future behaviors of road agents is a key task in autonomous driving. While existing models have demonstrated great success in predicting marginal agent future behaviors,…

cs.DC20221 cited

Wider: Scale Out Blockchain With Sharding by Account

Jia Kan, Jie Zhang, Xin Huang

The development of blockchain applications increased the demand for blockchain performance. Among the attempts of many blockchain scale-out solutions, sharding can improve performa…