38 citations · 103 across the 18 of their papers we have counts for
18 papers
Visibility Enhancement for Low-light Hazy Scenarios
Chaoqun Zhuang, Yunfei Liu, Sijia Wen +1
Low-light hazy scenes commonly appear at dusk and early morning. The visual enhancement for low-light hazy images is an ill-posed problem. Even though numerous methods have been pr…
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
Yunfei Liu, Lijian Lin, Fei Yu +2
Audio-driven portrait animation aims to synthesize portrait videos that are conditioned by given audio. Animating high-fidelity and multimodal video portraits has a variety of appl…
Audio-Driven 3D Facial Animation from In-the-Wild Videos
Liying Lu, Tianke Zhang, Yunfei Liu +2
Given an arbitrary audio clip, audio-driven 3D facial animation aims to generate lifelike lip motions and facial expressions for a 3D head. Existing methods typically rely on train…
Jitter Does Matter: Adapting Gaze Estimation to New Domains
Ruicong Liu, Yiwei Bao, Mingjie Xu +3
Deep neural networks have demonstrated superior performance on appearance-based gaze estimation tasks. However, due to variations in person, illuminations, and background, performa…
Discriminative feature encoding for intrinsic image decomposition
Zongji Wang, Yunfei Liu, Feng Lu
Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene properties is ill-posed. Several physic…
GazeOnce: Real-Time Multi-Person Gaze Estimation
Mingfang Zhang, Yunfei Liu, Feng Lu
Appearance-based gaze estimation aims to predict the 3D eye gaze direction from a single image. While recent deep learning-based approaches have demonstrated excellent performance,…
Cloud Sphere: A 3D Shape Representation via Progressive Deformation
Zongji Wang, Yunfei Liu, Feng Lu
In the area of 3D shape analysis, the geometric properties of a shape have long been studied. Instead of directly extracting representative features using expert-designed descripto…
Separating Content and Style for Unsupervised Image-to-Image Translation
Yunfei Liu, Haofei Wang, Yang Yue +1
Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples. Existing works focus on disentangling domain-invariant content c…
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
Yunfei Liu, Ruicong Liu, Haofei Wang +1
Deep neural networks have significantly improved appearance-based gaze estimation accuracy. However, it still suffers from unsatisfactory performance when generalizing the trained…
Vulnerability of Appearance-based Gaze Estimation
Mingjie Xu, Haofei Wang, Yunfei Liu +1
Appearance-based gaze estimation has achieved significant improvement by using deep learning. However, many deep learning-based methods suffer from the vulnerability property, i.e.…
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu, Chaoqun Zhuang, Feng Lu
Anomaly detection from a single image is challenging since anomaly data is always rare and can be with highly unpredictable types. With only anomaly-free data available, most exist…
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
Yiwei Bao, Yihua Cheng, Yunfei Liu +1
Recently, many multi-stream gaze estimation methods have been proposed. They estimate gaze from eye and face appearances and achieve reasonable accuracy. However, most of the metho…
GIKT: A Graph-based Interaction Model for Knowledge Tracing
Yang Yang, Jian Shen, Yanru Qu +5
With the rapid development in online education, knowledge tracing (KT) has become a fundamental problem which traces students' knowledge status and predicts their performance on ne…
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu, Xingjun Ma, James Bailey +1
Recent studies have shown that DNNs can be compromised by backdoor attacks crafted at training time. A backdoor attack installs a backdoor into the victim model by injecting a back…
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Yunfei Liu, Yu Li, Shaodi You +1
Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene. It is challenging since it needs to separate o…
Semantic Guided Single Image Reflection Removal
Yunfei Liu, Yu Li, Shaodi You +1
Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorith…
Separate In Latent Space: Unsupervised Single Image Layer Separation
Yunfei Liu, Feng Lu
Many real world vision tasks, such as reflection removal from a transparent surface and intrinsic image decomposition, can be modeled as single image layer separation. However, thi…
What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
Huangyue Yu, Minjie Cai, Yunfei Liu +1
In recent years, more and more videos are captured from the first-person viewpoint by wearable cameras. Such first-person video provides additional information besides the traditio…