103 citations · 248 across the 19 of their papers we have counts for
19 papers
PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs
Wentao Hu, Jia Zheng, Zixin Zhang +3
In this paper, we develop a new method to automatically convert 2D line drawings from three orthographic views into 3D CAD models. Existing methods for this problem reconstruct 3D…
Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis
Yuelin Xin, Zihan Zhou, Yuxuan Xia
We present 2SDS (Scene Separation and Data Selection algorithm), a temporal segmentation algorithm used in real-time video stream interpretation. It complements CNN-based models to…
Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
Jia Zheng, Yifan Zhu, Kehan Wang +2
In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings. Previous optimization-based methods can generate compact an…
Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
Kehan Wang, Jia Zheng, Zihan Zhou
In computer-aided design (CAD) systems, 2D line drawings are commonly used to illustrate 3D object designs. To reconstruct the 3D models depicted by a single 2D line drawing, an im…
Deep Depth from Focus with Differential Focus Volume
Fengting Yang, Xiaolei Huang, Zihan Zhou
Depth-from-focus (DFF) is a technique that infers depth using the focus change of a camera. In this work, we propose a convolutional neural network (CNN) to find the best-focused p…
Towards Robust Human Trajectory Prediction in Raw Videos
Rui Yu, Zihan Zhou
Human trajectory prediction has received increased attention lately due to its importance in applications such as autonomous vehicles and indoor robots. However, most existing meth…
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu +1
Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monit…
Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou +3
In this paper, we propose a learning-based approach to the task of automatically extracting a "wireframe" representation for images of cluttered man-made environments. The wirefram…
Superpixel Segmentation with Fully Convolutional Networks
Fengting Yang, Qian Sun, Hailin Jin +1
In computer vision, superpixels have been widely used as an effective way to reduce the number of image primitives for subsequent processing. But only a few attempts have been made…
Neural Wireframe Renderer: Learning Wireframe to Image Translations
Yuan Xue, Zihan Zhou, Xiaolei Huang
In architecture and computer-aided design, wireframes (i.e., line-based models) are widely used as basic 3D models for design evaluation and fast design iterations. However, unlike…
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Jia Zheng, Junfei Zhang, Jing Li +3
Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cub…
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu, Jia Zheng, Dongze Lian +2
Single-image piece-wise planar 3D reconstruction aims to simultaneously segment plane instances and recover 3D plane parameters from an image. Most recent approaches leverage convo…
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
Xiao Yang, Dafang He, Wenyi Huang +4
Physical library collections are valuable and long standing resources for knowledge and learning. However, managing books in a large bookshelf and finding books on it often leads t…
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
Zihan Zhou, Farshid Farhat, James Z. Wang
Linear perspective is widely used in landscape photography to create the impression of depth on a 2D photo. Automated understanding of linear perspective in landscape photography h…
Graph Construction with Label Information for Semi-Supervised Learning
Liansheng Zhuang, Zihan Zhou, Jingwen Yin +4
In the literature, most existing graph-based semi-supervised learning (SSL) methods only use the label information of observed samples in the label propagation stage, while ignorin…
Modeling Photographic Composition via Triangles
Zihan Zhou, Siqiong He, Jia Li +1
The capacity of automatically modeling photographic composition is valuable for many real-world machine vision applications such as digital photography, image retrieval, image unde…
Sparsity and Robustness in Face Recognition
John Wright, Arvind Ganesh, Allen Yang +2
This report concerns the use of techniques for sparse signal representation and sparse error correction for automatic face recognition. Much of the recent interest in these techniq…
Fast L1-Minimization Algorithms For Robust Face Recognition
Allen Y. Yang, Zihan Zhou, Arvind Ganesh +2
L1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax. Under certain conditions as described in compressive sensing theory, the mi…
Stable Principal Component Pursuit
Zihan Zhou, Xiaodong Li, John Wright +2
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a high-dimensional data matrix despite both small entry-wise noise and gross spa…