74 Result(s)
within
Zhuo** **e
Computer Science
Computer Graphics
Image Processing and Computer Vision
-
Article
Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual tasks. Therefore, how to quickly and efficiently process hazy...
-
Article
SSE-YOLOv5: a real-time fault line selection method based on lightweight modules and attention models
To address the problems of low precision and poor anti-noise performance of the standard route selection method for the small current grounding faults, a fault line selection approach based on YOLOv5 network t...
-
Article
Unpaved road segmentation of UAV imagery via a global vision transformer with dilated cross window self-attention for dynamic map
Road segmentation is a fundamental task for dynamic map in unmanned aerial vehicle (UAV) path navigation. In unplanned, unknown and even damaged areas, there are usually unpaved roads with blurred edges, defor...
-
Article
Unbiased scene graph generation using the self-distillation method
Scene graph generation (SGG) aims to build a structural representation for the image with the object instance and the relations between object pairs. Due to the long-tail distribution of the dataset labeling, ...
-
Article
MVTr: multi-feature voxel transformer for 3D object detection
Convolutional neural networks have become a powerful tool for partial 3D object detection. However, their power has not been fully realized for focusing on global information, which is crucial for object detec...
-
Article
Open AccessFast 3D face reconstruction from a single image combining attention mechanism and graph convolutional network
In recent years, researchers have made significant contributions to 3D face reconstruction with the rapid development of deep learning. However, learning-based methods often suffer from time and memory consump...
-
Article
Validation of a surgical navigation system for hypertensive intracerebral hemorrhage based on mixed reality using an automatic registration method
Hypertensive intracerebral hemorrhage (HICH) is a kind of intracerebral bleeding disease that affects 2.5 per 10,000 people world wide each year. An effective way of curing this disease is to perform a punctur...
-
Article
A two-stage image process for water level recognition via dual-attention CornerNet and CTransformer
Image processing-based water level detectors have promising practical application value in intelligent agriculture and early water logging alerts. However, water level recognition based on image processing fac...
-
Article
Domain-invariant feature extraction and fusion for cross-domain person re-identification
There are notable style differences among person re-identification (ReID) datasets, such as brightness, tone, resolution, background, and clothing style, that result in serious challenges for cross-domain pers...
-
Article
Cross-language multimodal scene semantic guidance and leap sampling for video captioning
In recent years, video captioning, which uses natural language to describe video content, has achieved encouraging results. However, most of the previous studies in this area have focused on directly decoding ...
-
Article
Automatic 3D virtual fitting system based on skeleton driving
To facilitate the input and improve the practicality of the existing virtual fitting systems, we propose a fully automatic 3D virtual fitting system to fit garment onto human models with various shapes and pos...
-
Article
Simplified non-locally dense network for single-image dehazing
Single-image dehazing is an ill-posed problem. Most previous methods focused on estimating intermediate parameters for input hazy images. In this paper, we propose a novel end-to-end Simplified Non-locally Den...
-
Article
Siamese network for real-time tracking with action-selection
Considering that most deep learning based trackers capture accurate locations for targets at the expense of consuming much time in training phrase, in this paper we present a new powerful tracker using the Sia...
-
Article
Open AccessAdaptive deep learning for head and neck cancer detection using hyperspectral imaging
It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissu...
-
Chapter and Conference Paper
An Interactive Virtual Training System for Assembly and Disassembly Based on Precedence Constraints
Compared with traditional training modes of assembly/disassembly, the virtual environment has advantages for enhancing the training quality, saving training resources, and breaking restrictions on training equ...
-
Chapter and Conference Paper
Accurate Detection for Scene Texts with a Cascaded CNN Networks
We propose an algorithm of text detection to accurately and reliably determine the bounding regions of texts in a natural scene. The cascaded convolutional neural networks are aggregated in our system in order...
-
Chapter and Conference Paper
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Despite the steady progress in video analysis led by the adoption of convolutional neural networks (CNNs), the relative improvement has been less drastic as that in 2D static image classification. Three main c...
-
Chapter and Conference Paper
Semantic Segmentation Based Automatic Two-Tone Portrait Synthesis
This paper presents a semantic segmentation based method for automatically synthesizing two-tone cartoon portraits in black-and-white style. Synthesizing two-tone portraits from photographs can be considered a...
-
Article
A 3D model perceptual feature metric based on global height field
Human visual attention system tends to be attracted to perceptual feature points on 3D model surfaces. However, purely geometric-based feature metrics may be insufficient to extract perceptual features, becaus...
-
Chapter and Conference Paper
Dense Volume-to-Volume Vascular Boundary Detection
In this work, we tackle the important problem of dense 3D volume labeling in medical imaging. We start by introducing HED-3D, a 3D extension of the state-of-the-art 2D edge detector (HED). Next, we develop a n...
