期刊： IET COMPUTER VISION, 2021; 15 (4)
Among all digital representations we have for real physical objects, three-dimensional (3D) is arguably the most expressive encoding. But due to the l......
期刊： IET COMPUTER VISION, 2021; 15 (7)
Facial reenactment has developed rapidly in recent years, but few methods have been built upon reenacted face in videos. Facial-reenacted emotion synt......
期刊： IET COMPUTER VISION, 2021; 15 (5)
Recently, the gradient-based neural architecture search has made remarkable progress with the characteristics of high efficiency and fast convergence.......
期刊： IET COMPUTER VISION, 2021; 15 (6)
Facial micro-expression is a superposition of micro-expression features and identity information of a subject. For the problem of identity information......
期刊： IET COMPUTER VISION, 2021; 15 (7)
To facilitate the extraction of source image information, and preserve the consistency of heterogeneous regional features, a multiscale image fusion m......
期刊： IET COMPUTER VISION, 2021; 15 (3)
Simultaneous localization and mapping (SLAM) addresses the problem of constructing the map from noisy sensor data and tracking the robot's path within......
期刊： IET COMPUTER VISION, 2021; 15 (5)
Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D se......
期刊： IET COMPUTER VISION, 2021; 15 (6)
Character segmentation is a challenging task for optical character recognition systems. Traditional methods usually utilize rule-based algorithms but ......
期刊： IET COMPUTER VISION, 2021; 15 (6)
Face recognition has become very challenging in unconstrained conditions due to strong intra-personal variations, such as large pose changes. Face nor......
期刊： IET COMPUTER VISION, 2021; 15 (6)
Semantic segmentation is crucial to the autonomous driving, as an accurate recognition and location of the surrounding scenes can be provided for the ......
期刊： IET COMPUTER VISION, 2021; 15 (7)
Snowflakes captured on photos may severely decrease the visual quality and cause difficulties for vision analysis systems. Most noise removal framewor......
期刊： IET COMPUTER VISION, 2021; 15 (4)
The dominant video captioning methods employ the attentional encoder-decoder architecture, where the decoder is an autoregressive structure that gener......
期刊： IET COMPUTER VISION, 2021; 15 (4)
Because of the popularisation of high-resolution images, detecting objects in these images quickly and accurately has attracted increasing attention i......
期刊： IET COMPUTER VISION, 2021; 15 (6)
This paper addresses the 3D face reconstruction and semantic annotation from a single-view noisy depth image. A deep neural network-based coarse-to-fi......
期刊： IET COMPUTER VISION, 2021; 15 (5)
Real-world classification often encounters a problem called class imbalance. When the data of some classes are redundant than that of other classes, t......
