activity
20192022
most citedSpatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning

72 citations · 121 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

FSCNN: A Fast Sparse Convolution Neural Network Inference System

Bo Ji, Tianyi Chen

Convolution neural networks (CNNs) have achieved remarkable success, but typically accompany high computation cost and numerous redundant weight parameters. To reduce the FLOPs, st…

cs.CV2022★ 1 cited

Sparsity-guided Network Design for Frame Interpolation

Tianyu Ding, Luming Liang, Zhihui Zhu +2

DNN-based frame interpolation, which generates intermediate frames from two consecutive frames, is often dependent on model architectures with a large number of features, preventin…

cs.LG2022★ 72 cited

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning

Lianghao Xia, Chao Huang, Yong Xu +4

Crime prediction is crucial for public safety and resource optimization, yet is very challenging due to two aspects: i) the dynamics of criminal patterns across time and space, cri…

cs.CV2020★ 11 cited

Recurrent Exposure Generation for Low-Light Face Detection

Jinxiu Liang, Jingwen Wang, Yuhui Quan +4

Face detection from low-light images is challenging due to limited photos and inevitable noise, which, to make the task even harder, are often spatially unevenly distributed. A nat…

cs.CV2019★ 36 cited

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…