activity
20192026
most citedCSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion

57 citations · 252 across the 48 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

6 papers · 2 filters

cs.CV2021★ 6 cited

Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images

Dong Liang, Qixiang Geng, Zongqi Wei +4

Object detection has made tremendous strides in computer vision. Small object detection with appearance degradation is a prominent challenge, especially for aerial observations. To…

cs.CV2021

Semantically Contrastive Learning for Low-light Image Enhancement

Dong Liang, Ling Li, Mingqiang Wei +5

Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images. In this paper, we respond to…

cs.CV2021

Adaptive Graph Convolution for Point Cloud Analysis

Haoran Zhou, Yidan Feng, Mingsheng Fang +3

Convolution on 3D point clouds that generalized from 2D grid-like domains is widely researched yet far from perfect. The standard convolution characterises feature correspondences…

cs.CV2021★ 1 cited

GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection

C. Zheng, D. Shi, X. Yan +5

Most of the existing object detection methods generate poor glass detection results, due to the fact that the transparent glass shares the same appearance with arbitrary objects be…

cs.CV2021★ 2 cited

Direction-aware Feature-level Frequency Decomposition for Single Image Deraining

Sen Deng, Yidan Feng, Mingqiang Wei +5

We present a novel direction-aware feature-level frequency decomposition network for single image deraining. Compared with existing solutions, the proposed network has three compel…

cs.CV2021★ 2 cited

Learning Calibrated-Guidance for Object Detection in Aerial Images

Zongqi Wei, Dong Liang, Dong Zhang +4

Object detection is one of the most fundamental yet challenging research topics in the domain of computer vision. Recently, the study on this topic in aerial images has made tremen…