1.2k citations · 1.4k across the 19 of their papers we have counts for
19 papers
Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision
Yi Guo, Che Sun, Yunde Jia +1
Neural 3D scene reconstruction methods have achieved impressive performance when reconstructing complex geometry and low-textured regions in indoor scenes. However, these methods h…
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Mingliang Zhai, Yulin Li, Xiameng Qin +6
Transformers achieve promising performance in document understanding because of their high effectiveness and still suffer from quadratic computational complexity dependency on the…
Exploring Data Geometry for Continual Learning
Zhi Gao, Chen Xu, Feng Li +3
Continual learning aims to efficiently learn from a non-stationary stream of data while avoiding forgetting the knowledge of old data. In many practical applications, data complies…
A Decomposition Model for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di +2
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increase…
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai, Yuwei Wu, Zhi Gao +1
Hyperbolic graph convolutional networks (GCNs) demonstrate powerful representation ability to model graphs with hierarchical structure. Existing hyperbolic GCNs resort to tangent s…
Video Captioning Using Weak Annotation
Jingyi Hou, Yunde Jia, Xinxiao wu +1
Video captioning has shown impressive progress in recent years. One key reason of the performance improvements made by existing methods lie in massive paired video-sentence data, b…
Content-Aware Inter-Scale Cost Aggregation for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di +2
Cost aggregation is a key component of stereo matching for high-quality depth estimation. Most methods use multi-scale processing to downsample cost volume for proper context infor…
Deep 3D Portrait from a Single Image
Sicheng Xu, Jiaolong Yang, Dong Chen +4
In this paper, we present a learning-based approach for recovering the 3D geometry of human head from a single portrait image. Our method is learned in an unsupervised manner witho…
Relational Reasoning using Prior Knowledge for Visual Captioning
Jingyi Hou, Xinxiao Wu, Yayun Qi +3
Exploiting relationships among objects has achieved remarkable progress in interpreting images or videos by natural language. Most existing methods resort to first detecting object…
Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots
Yanmei Dong, Mingtao Pei, Lijia Zhang +3
Many telepresence robots are equipped with a forward-facing camera for video communication and a downward-facing camera for navigation. In this paper, we propose to stitch videos f…
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Yu Deng, Jiaolong Yang, Sicheng Xu +3
Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency.However, training deep neural networks typically requires a…
Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture
Lidong Yu, Yucheng Wang, Yuwei Wu +1
Deep neural networks have shown excellent performance for stereo matching. Many efforts focus on the feature extraction and similarity measurement of the matching cost computation…
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
Zhi Gao, Yuwei Wu, Xingyuan Bu +1
Recent studies have shown that aggregating convolutional features of a pre-trained Convolutional Neural Network (CNN) can obtain impressive performance for a variety of visual task…
Anisotropic Diffusion-based Kernel Matrix Model for Face Liveness Detection
Changyong Yu, Yunde Jia
Facial recognition and verification is a widely used biometric technology in security system. Unfortunately, face biometrics is vulnerable to spoofing attacks using photographs or…
A Hybrid Data Association Framework for Robust Online Multi-Object Tracking
Min Yang, Yuwei Wu, Yunde Jia
Global optimization algorithms have shown impressive performance in data-association based multi-object tracking, but handling online data remains a difficult hurdle to overcome. I…
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
Jiaolong Yang, Hongdong Li, Dylan Campbell +1
The Iterative Closest Point (ICP) algorithm is one of the most widely used methods for point-set registration. However, being based on local iterative optimization, ICP is known to…
A Low-Cost Tele-Presence Wheelchair System
Jiajun Shen, Bin Xu, Mingtao Pei +1
This paper presents the architecture and implementation of a tele-presence wheelchair system based on tele-presence robot, intelligent wheelchair, and touch screen technologies. Th…
Telepresence Interaction by Touching Live Video Images
Yunde Jia, Bin Xu, Jiajun Shen +4
This paper presents a telepresence interaction framework based on touchscreen and telepresence-robot technologies. The core of the framework is a new user interface, Touchable live…
Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking
Min Yang, Yunde Jia
Robust online multi-person tracking requires the correct associations of online detection responses with existing trajectories. We address this problem by developing a novel appear…