321 Result(s)
within
Ke** Zhang
Computer Communication Networks
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
BadDet: Backdoor Attacks on Object Detection
Backdoor attack is a severe security threat which injects a backdoor trigger into a small portion of training data such that the trained model gives incorrect predictions when the specific trigger appears. Whi...
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Chapter and Conference Paper
An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
Object detection with high accuracy and fast inference speed based on camera sensors is important for autonomous driving. This paper develops a lightweight object detection network based on YOLOv5s which is on...
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Chapter and Conference Paper
RPR-Net: A Point Cloud-Based Rotation-Aware Large Scale Place Recognition Network
Point cloud-based large scale place recognition is an important but challenging task for many applications such as Simultaneous Localization and Map** (SLAM). Taking the task as a point cloud retrieval probl...
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Chapter and Conference Paper
Chair Design of Waiting Space in Maternity Department Based on QFD-Kano and FBS
In order to design the seats in the waiting space of the obstetrics and gynecology department of the hospital, reduce the anxiety of pregnant women waiting for the inspection process, objectively and rationall...
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Chapter and Conference Paper
Auto-regressive Image Synthesis with Integrated Quantization
Deep generative models have achieved conspicuous progress in realistic image synthesis with multifarious conditional inputs, while generating diverse yet high-fidelity images remains a grand challenge in condi...
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Chapter and Conference Paper
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta
Learning to generate new images for a novel category based on only a few images, named as few-shot image generation, has attracted increasing research interest. Several state-of-the-art works have yielded impr...
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Chapter and Conference Paper
A Comparative Study on Map** Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology
Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the user experience of its users. This paper is based on the text...
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Chapter and Conference Paper
NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing
Very recently neural implicit rendering techniques have been rapidly evolved and shown great advantages in novel view synthesis and 3D scene reconstruction. However, existing neural rendering methods for editi...
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Chapter and Conference Paper
Research on Immersive Scene Modeling Language Design of Virtual Reality Animation Based on Affordance Design
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Chapter and Conference Paper
Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor
Exploring an unfamiliar indoor environment and avoiding obstacles is challenging for visually impaired people. Currently, several approaches achieve the avoidance of static obstacles based on the map** of in...
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Chapter and Conference Paper
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach
Fish is approximately 40% edible fillet. The remaining 60% can be processed into low-value fertilizer or high-value pharmaceutical-grade omega-3 concentrates. High-value manufacturing options depend on the co...
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Chapter and Conference Paper
Effects of Virtual Reality Technology in Disaster News Coverage Based on MAIN Model
Using data of a between-group experiment (N = 40), this study examines the effects of virtual reality (VR) disaster news by comparing it with that of non-VR (traditional text news) disaster news on audiences from...
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Chapter and Conference Paper
Bi-level Feature Alignment for Versatile Image Translation and Manipulation
Generative adversarial networks (GANs) have achieved great success in image translation and manipulation. However, high-fidelity image generation with faithful style control remains a grand challenge in comput...
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Chapter and Conference Paper
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers
Explainable artificial intelligence (XAI) is a recent research focus, aiming to gain trust in machine learning models with clear insights into how the models make certain predictions. Due to its ability to evo...
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Chapter and Conference Paper
Spatio-Temporal Deformable Attention Network for Video Deblurring
The key success factor of the video deblurring methods is to compensate for the blurry pixels of the mid-frame with the sharp pixels of the adjacent video frames. Therefore, mainstream methods align the adjace...
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Chapter and Conference Paper
Any-Resolution Training for High-Resolution Image Synthesis
Generative models operate at fixed resolution, even though natural images come in a variety of sizes. As high-resolution details are downsampled away and low-resolution images are discarded altogether, preciou...
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Chapter and Conference Paper
High-Fidelity Image Inpainting with GAN Inversion
Image inpainting seeks a semantically consistent way to recover the corrupted image in the light of its unmasked content. Previous approaches usually reuse the well-trained GAN as effective prior to generate r...
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Chapter and Conference Paper
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
Recent image inpainting methods have made great progress but often struggle to generate plausible image structures when dealing with large holes in complex images. This is partially due to the lack of effectiv...
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Chapter and Conference Paper
Video Extrapolation in Space and Time
Novel view synthesis (NVS) and video prediction (VP) are typically considered disjoint tasks in computer vision. However, they can both be seen as ways to observe the spatial-temporal world: NVS aims to synthe...
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Chapter and Conference Paper
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification
Maximizing the classification performance and minimizing the feature subset size are two key objectives in multi-objective feature selection. Most existing works treat these two objectives equally. However, fr...
