activity
20182022
most citedThe State of Aerial Surveillance: A Survey

19 citations · 37 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV202219 cited

The State of Aerial Surveillance: A Survey

Kien Nguyen, Clinton Fookes, Sridha Sridharan +4

The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and…

cs.CV2020

Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation

Mehdi Bahri, Eimear O' Sullivan, Shunwang Gong +4

Standard registration algorithms need to be independently applied to each surface to register, following careful pre-processing and hand-tuning. Recently, learning-based approaches…

cs.CV20204 cited

Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence

Feng Liu, Xiaoming Liu

The goal of this paper is to learn dense 3D shape correspondence for topology-varying objects in an unsupervised manner. Conventional implicit functions estimate the occupancy of a…

cs.CV2020

Local Facial Makeup Transfer via Disentangled Representation

Zhaoyang Sun, Wenxuan Liu, Feng Liu +2

Facial makeup transfer aims to render a non-makeup face image in an arbitrary given makeup one while preserving face identity. The most advanced method separates makeup style infor…

cs.CV2019

On the Detection of Digital Face Manipulation

Hao Dang, Feng Liu, Joel Stehouwer +2

Detecting manipulated facial images and videos is an increasingly important topic in digital media forensics. As advanced face synthesis and manipulation methods are made available…

cs.CV2019

On Learning Disentangled Representations for Gait Recognition

Ziyuan Zhang, Luan Tran, Feng Liu +1

Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models a…