activity
20182023
most citedDMT: Dynamic Mutual Training for Semi-Supervised Learning

196 citations · 822 across the 56 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.CV2019★ 15 cited

Unsupervised Deep Features for Privacy Image Classification

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1

Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful represent…

cs.CV2019★ 9 cited

Tag-based Semantic Features for Scene Image Classification

Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2

The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regar…

cs.CV2019★ 14 cited

Explicit Facial Expression Transfer via Fine-Grained Representations

Zhiwen Shao, Hengliang Zhu, Junshu Tang +2

Facial expression transfer between two unpaired images is a challenging problem, as fine-grained expression is typically tangled with other facial attributes. Most existing methods…

cs.CV2019★ 15 cited

Indoor image representation by high-level semantic features

Chiranjibi Sitaula, Yong Xiang, Yushu Zhang +2

Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing f…

cs.CG2019★ 17 cited

HLO: Half-kernel Laplacian Operator for Surface Smoothing

Wei Pan, Xuequan Lu, Yuanhao Gong +4

This paper presents a simple yet effective method for feature-preserving surface smoothing. Through analyzing the differential property of surfaces, we show that the conventional d…

cs.CV2019

A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation

Takumi Nakane, Takuya Akashi, Xuequan Lu +1

We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity. As a classical problem, there is always a trade-off betw…

cs.CV2019★ 2 cited

FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds

Jie Zhou, Xin Tan, Zhiwei Shao +1

3D object detection from raw and sparse point clouds has been far less treated to date, compared with its 2D counterpart. In this paper, we propose a novel framework called FVNet f…

cs.CV2019

Blur Removal via Blurred-Noisy Image Pair

Chunzhi Gu, Xuequan Lu, Ying He +1

Complex blur such as the mixup of space-variant and space-invariant blur, which is hard to model mathematically, widely exists in real images. In this paper, we propose a novel ima…

cs.CV2019★ 11 cited

Unconstrained Facial Action Unit Detection via Latent Feature Domain

Zhiwen Shao, Jianfei Cai, Tat-Jen Cham +2

Facial action unit (AU) detection in the wild is a challenging problem, due to the unconstrained variability in facial appearances and the lack of accurate annotations. Most existi…