activity
20192025
most citedLSANet: Feature Learning on Point Sets by Local Spatial Aware Layer

24 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

OmniRaindrop: A Comprehensive Benchmark for Dual-Focused Raindrop Removal under Day and Night Scenes

Zhiqiang Teng, Tingting Chen, Beibei Lin +4

Adherent raindrops on camera lenses are a pervasive source of real-world image degradation, undermining outdoor visual perception for downstream applications such as robotics and 3…

cs.CV2024

Sora Generates Videos with Stunning Geometrical Consistency

Xuanyi Li, Daquan Zhou, Chenxu Zhang +3

The recently developed Sora model [1] has exhibited remarkable capabilities in video generation, sparking intense discussions regarding its ability to simulate real-world phenomena…

cs.CV2023★ 1 cited

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

Lu Ling, Yichen Sheng, Zhi Tu +17

We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view sy…

cs.CV2020★ 7 cited

Geometric Style Transfer

Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng +1

Neural style transfer (NST), where an input image is rendered in the style of another image, has been a topic of considerable progress in recent years. Research over that time has…

cs.CV2019★ 24 cited

LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer

Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan +3

Directly learning features from the point cloud has become an active research direction in 3D understanding. Existing learning-based methods usually construct local regions from th…