activity
20152022
most citedNAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing

270 citations · 567 across the 25 of their papers we have counts for

collaborators

45 papers

cs.CV20221 cited

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network

Hanlin Mo, Guoying Zhao

In recent years, convolutional neural network has shown good performance in many image processing and computer vision tasks. However, a standard CNN model is not invariant to image…

eess.IV2022

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

Wei Peng, Li Feng, Guoying Zhao +1

The inherent slow imaging speed of Magnetic Resonance Image (MRI) has spurred the development of various acceleration methods, typically through heuristically undersampling the MRI…

cs.CV20213 cited

AniFormer: Data-driven 3D Animation with Transformer

Haoyu Chen, Hao Tang, Nicu Sebe +1

We present a novel task, i.e., animating a target 3D object through the motion of a raw driving sequence. In previous works, extra auxiliary correlations between source and target…

cs.CV20212 cited

Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

Haoyu Chen, Hao Tang, Henglin Shi +3

With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years. Existing methods mainly rely on a variety of constraints to achi…

cs.CV20212 cited

iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis

Xin Liu, Henglin Shi, Haoyu Chen +3

We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different…

cs.CV2021

Dual-Cross Central Difference Network for Face Anti-Spoofing

Zitong Yu, Yunxiao Qin, Hengshuang Zhao +2

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Recently, central difference convolution (CDC) has shown its excellent representation capacity for…