35 Result(s)
within
Chapter
Jie CHEN
Computer Science
Image Processing and Computer Vision
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Chapter and Conference Paper
AST: An Attention-Guided Segment Transformer for Drone-Based Cross-View Geo-Localization
To tackle the problem of drone-based cross-view geo-localization, we address how to match drone-view images and satellite-view images, which is extremely challenging due to the variability of view angles and v...
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Chapter and Conference Paper
M2MTR: Reposition Idle Taxis in the Many-to-Many Manner with Multi-agent Reinforcement Learning
Ride-hailing apps, such as Didi and Uber, allow people to easily request a ride by inputting their desired origin and destination locations. Due to transportation system complexity and vast city areas, uneven ...
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Chapter and Conference Paper
When Active Learning Meets Implicit Semantic Data Augmentation
Active learning (AL) is a label-efficient technique for training deep models when only a limited labeled set is available and the manual annotation is expensive. Implicit semantic data augmentation (ISDA) effe...
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Chapter and Conference Paper
Temporal-MPI: Enabling Multi-plane Images for Dynamic Scene Modelling via Temporal Basis Learning
Novel view synthesis of static scenes has achieved remarkable advancements in producing photo-realistic results. However, key challenges remain for immersive rendering of dynamic scenes. One of the seminal ima...
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Chapter and Conference Paper
Locality Guidance for Improving Vision Transformers on Tiny Datasets
While the Vision Transformer (VT) architecture is becoming trendy in computer vision, pure VT models perform poorly on tiny datasets. To address this issue, this paper proposes the locality guidance for improv...
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Chapter and Conference Paper
Verifiable Dynamic Searchable Symmetric Encryption with Forward Privacy in Cloud-Assisted E-Healthcare Systems
The integration of Internet of Things (IoT) and cloud computing is transforming traditional healthcare systems into cloud-assisted e-healthcare systems. In a cloud-assisted e-healthcare system, patients can up...
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Chapter and Conference Paper
NDF: Neural Deformable Fields for Dynamic Human Modelling
We propose Neural Deformable Fields (NDF), a new representation for dynamic human digitization from a multi-view video. Recent works proposed to represent a dynamic human body with shared canonical neural radi...
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Chapter and Conference Paper
Image Compression Algorithm Based on Time Series
21st century is a digital information age, different high technologies emerge in succession. Internet technology develops rapidly and is widely used in various industries and fields now. The popularity of 5G m...
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Chapter and Conference Paper
A Lightweight CNN Using HSIC Fine-Tuning for Fingerprint Liveness Detection
As an individual’s unique biometric, fingerprints are widely used for identification. In recent years, attacks based on forged fingerprints have caused many hidden security risks. Therefore, the detection of f...
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Chapter and Conference Paper
Learnable Oriented-Derivative Network for Polyp Segmentation
Gastrointestinal polyps are the main cause of colorectal cancer. Given the polyp variations in terms of size, color, texture and poor optical conditions brought by endoscopy, polyp segmentation is still a chal...
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Chapter and Conference Paper
AnimeGAN: A Novel Lightweight GAN for Photo Animation
In this paper, a novel approach for transforming photos of real-world scenes into anime style images is proposed, which is a meaningful and challenging task in computer vision and artistic style transfer. The...
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Chapter and Conference Paper
The 1st Tiny Object Detection Challenge: Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in develo** novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person ...
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Chapter and Conference Paper
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting
Breast cancer is a main malignant tumor for women and the incidence is trending to ascend. Detecting positive and negative tumor cells in the immunohistochemically stained sections of breast tissue to compute ...
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Chapter and Conference Paper
An Automated Method with Feature Pyramid Encoder and Dual-Path Decoder for Nuclei Segmentation
Nuclei instance segmentation is a critical part of digital pathology analysis for cancer diagnosis and treatments. Deep learning-based methods gradually replace threshold-based ones. However, automated techniq...
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Chapter and Conference Paper
Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decoded by reconstruction algorithm...
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Chapter and Conference Paper
Classification of Vitiligo Based on Convolutional Neural Network
Vitiligo is one of the most intractable skin disease in the world. According to incomplete statistics, there is about 0.5–2% incidence of vi...
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Chapter and Conference Paper
LSPM: Joint Deep Modeling of Long-Term Preference and Short-Term Preference for Recommendation
In the era of information, recommender systems are playing an indispensable role in our lives. A lot of deep learning based recommender systems have been created and proven to be good progress. However, users’...
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Chapter and Conference Paper
Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues
Densely-sampled light fields (LFs) are beneficial to many applications such as depth inference and post-capture refocusing. However, it is costly and challenging to capture them. In this paper, we propose a le...
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Chapter and Conference Paper
Edge-Preserving Background Estimation Using Most Similar Neighbor Patch for Small Target Detection
Infrared small targets can easily be submerged in complex backgrounds in single frame infrared small target detection, the edges usually cause high false alarms and lead to erroneous detection results. In this...
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Chapter and Conference Paper
A New Approach for Measuring Leaf Projected Area for Potted Plant Based on Computer Vision
Leaves are the main organs for plant photosynthesis and transpiration, and thus accurate and rapid measurements of their surface area are of great significance in plant growth studies. A novel method was devel...
