activity
20172021
most citedDeep Texture-Aware Features for Camouflaged Object Detection

32 citations · 44 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021

From Continuity to Editability: Inverting GANs with Consecutive Images

Yangyang Xu, Yong Du, Wenpeng Xiao +2

Existing GAN inversion methods are stuck in a paradox that the inverted codes can either achieve high-fidelity reconstruction, or retain the editing capability. Having only one of…

cs.CV202132 cited

Deep Texture-Aware Features for Camouflaged Object Detection

Jingjing Ren, Xiaowei Hu, Lei Zhu +5

Camouflaged object detection is a challenging task that aims to identify objects having similar texture to the surroundings. This paper presents to amplify the subtle texture diffe…

cs.CV20204 cited

Context-aware and Scale-insensitive Temporal Repetition Counting

Huaidong Zhang, Xuemiao Xu, Guoqiang Han +1

Temporal repetition counting aims to estimate the number of cycles of a given repetitive action. Existing deep learning methods assume repetitive actions are performed in a fixed t…

cs.CV2018

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

Xiaowei Hu, Xuemiao Xu, Yongjie Xiao +4

Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based al…

physics.flu-dyn20178 cited

Towards High-quality Visualization of Superfluid Vortices

Yulong Guo, Xiaopei Liu, Chi Xiong +2

Superfluidity is a special state of matter exhibiting macroscopic quantum phenomena and acting like a fluid with zero viscosity. In such a state, superfluid vortices exist as phase…