期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (9)
Deep neural networks achieve remarkable performance in many computer vision tasks. Most state-of-the-art (SOTA) semantic segmentation and object detec......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (10)
As an emerging imaging modality, transient imaging that records the transient information of light transport has significantly shaped our understandin......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (5)
Multi-way or tensor data analysis has attracted increasing attention recently, with many important applications in practice. This article develops a t......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (6)
This paper presents regional attraction of line segment maps, and hereby poses the problem of line segment detection (LSD) as a problem of region colo......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (8)
Compared with global average pooling in existing deep convolutional neural networks (CNNs), global covariance pooling can capture richer statistics of......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (9)
Automated machine learning (AutoML) has achieved remarkable progress on various tasks, which is attributed to its minimal involvement of manual featur......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (9)
One-shot neural architecture search (NAS) has recently become mainstream in the NAS community because it significantly improves computational efficien......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (5)
We present a structure-from-motion (SfM) framework based on a special type of multi-perspective camera called the cross-slit or XSlit camera. Traditio......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (6)
Despite the promising results, tensor robust principal component analysis (TRPCA), which aims to recover underlying low-rank structure of clean tensor......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (10)
Despite significant effort and notable success of neural style transfer, it remains challenging for highly abstract styles, in particular line drawing......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (10)
Traditional video compression approaches build upon the hybrid coding framework with motion-compensated prediction and residual transform coding. In t......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (8)
Estimating depth from multi-view images captured by a localized monocular camera is an essential task in computer vision and robotics. In this study, ......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (10)
This paper addresses the problem of multiple graph matching (MGM) by considering both offline batch mode and online setting. We explore the concept of......
期刊： IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021; 43 (10)
In real-world recognition/classification tasks, limited by various objective factors, it is usually difficult to collect training samples to exhaust a......
