activity
20152023
most citedCombining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation

90 citations · 122 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023

Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection

Huiming Sun, Lan Fu, Jinlong Li +5

Detecting the salient objects in a remote sensing image has wide applications for the interdisciplinary research. Many existing deep learning methods have been proposed for Salient…

cs.CV2023

RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection

Jin Ma, Jinlong Li, Qing Guo +3

The emergence of different sensors (Near-Infrared, Depth, etc.) is a remedy for the limited application scenarios of traditional RGB camera. The RGB-X tasks, which rely on RGB inpu…

cs.CV2022

Coarse-to-fine Task-driven Inpainting for Geoscience Images

Huiming Sun, Jin Ma, Qing Guo +4

The processing and recognition of geoscience images have wide applications. Most of existing researches focus on understanding the high-quality geoscience images by assuming that a…

astro-ph.IM2022★ 6 cited

Neural Network Based Point Spread Function Deconvolution For Astronomical Applications

Hong Wang, Sreevarsha Sreejith, Yuewei Lin +3

Optical astronomical images are strongly affected by the point spread function (PSF) of the optical system and the atmosphere (seeing) which blurs the observed image. The amount of…

astro-ph.GA2021★ 10 cited

Galaxy Deblending using Residual Dense Neural networks

Hong Wang, Sreevarsha Sreejith, Anže Slosar +2

We present a new neural network approach for deblending galaxy images in astronomical data using Residual Dense Neural network (RDN) architecture. We train the network on synthetic…

cs.CV2020★ 1 cited

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition

Ping Liu, Yuewei Lin, Zibo Meng +4

In this paper, we propose a simple yet effective approach, named Point Adversarial Self Mining (PASM), to improve the recognition accuracy in facial expression recognition. Unlike…