181 citations · 247 across the 17 of their papers we have counts for
17 papers
OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang, Weikai Chen, Jie Yang +4
Recent advances in localized implicit functions have enabled neural implicit representation to be scalable to large scenes. However, the regular subdivision of 3D space employed by…
Visual Anomaly Detection for Images: A Survey
Jie Yang, Ruijie Xu, Zhiquan Qi +1
Visual anomaly detection is an important and challenging problem in the field of machine learning and computer vision. This problem has attracted a considerable amount of attention…
LightFuse: Lightweight CNN based Dual-exposure Fusion
Ziyi Liu, Jie Yang, Svetlana Yanushkevich +1
Deep convolutional neural networks (DCNNs) have aided high dynamic range (HDR) imaging recently and have received a lot of attention. The quality of DCNN-generated HDR images has o…
Unsupervised Motion Representation Enhanced Network for Action Recognition
Xiaohang Yang, Lingtong Kong, Jie Yang
Learning reliable motion representation between consecutive frames, such as optical flow, has proven to have great promotion to video understanding. However, the TV-L1 method, an e…
Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen, Lin Gao, Jie Yang +4
In physics-based cloth animation, rich folds and detailed wrinkles are achieved at the cost of expensive computational resources and huge labor tuning. Data-driven techniques make…
Mobile-end Tone Mapping based on Integral Image and Integral Histogram
Jie Yang, Mengchen Lin, Ziyi Liu +2
Wide dynamic range (WDR) image tone mapping is in high demand in many applications like film production, security monitoring, and photography. It is especially crucial for mobile d…
Tone Mapping Based on Multi-scale Histogram Synthesis
Jie Yang, Ziyi Liu, Ulian Shahnovich +1
In this paper, we present a novel tone mapping algorithm that can be used for displaying wide dynamic range (WDR) images on low dynamic range (LDR) devices. The proposed algorithm…
Deep Reformulated Laplacian Tone Mapping
Jie Yang, Ziyi Liu, Mengchen Lin +2
Wide dynamic range (WDR) images contain more scene details and contrast when compared to common images. However, it requires tone mapping to process the pixel values in order to di…
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Ziyi Liu, Jie Yang, Mengchen Lin +3
Currently, face detection approaches focus on facial information by varying specific parameters including pose, occlusion, lighting, background, race, and gender. These studies onl…
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Jie Yang, Yong Shi, Zhiquan Qi
Automatic detecting anomalous regions in images of objects or textures without priors of the anomalies is challenging, especially when the anomalies appear in very small areas of t…
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang, Lin Gao, Qingyang Tan +3
Deformation component analysis is a fundamental problem in geometry processing and shape understanding. Existing approaches mainly extract deformation components in local regions a…
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Rao Fu, Jie Yang, Jiawei Sun +3
Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to be…
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
Jie Yang, Kaichun Mo, Yu-Kun Lai +2
D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge…
FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network
Lingtong Kong, Jie Yang
Significant progress has been made for estimating optical flow using deep neural networks. Advanced deep models achieve accurate flow estimation often with a considerable computati…
Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
This paper develops a multi-task learning framework that attempts to incorporate the image structure knowledge to assist image inpainting, which is not well explored in previous wo…
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao, Lin Gao, Jie Yang +3
3D models are commonly used in computer vision and graphics. With the wider availability of mesh data, an efficient and intrinsic deep learning approach to processing 3D meshes is…
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Yinglong Wang, Dong Gong, Jie Yang +4
Removing rain effects from an image is of importance for various applications such as autonomous driving, drone piloting, and photo editing. Conventional methods rely on some heuri…