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Chapter and Conference Paper
A Low-Latency Hardware Accelerator for YOLO Object Detection Algorithms
Object detection is an important computer vision task with a wide range of applications, including autonomous driving, smart security, and other domains. However, the high computational requirements poses chal...
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Chapter and Conference Paper
Study on the Genetic Links Between Type 2 Diabetes Mellitus and Glioma by Bioinformatics
Diabetes will increase the risk of most cancers, such as pancreatic, breast and prostate cancer. However, some studies showed patients with diabetes are less susceptible to glioma than the people with normal b...
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Chapter and Conference Paper
Blockchain Scam Detection: State-of-the-Art, Challenges, and Future Directions
With the rapid development of blockchain platforms, such as Ethereum and Hyperledger Fabric, blockchain technology has been widely applied in various domains. However, various scams exist in the cryptocurrency...
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Chapter and Conference Paper
Decoupled 2S-AGCN Human Behavior Recognition Based on New Partition Strategy
Human skeleton point data has better environmental adaptability and motion expression ability than RGB video data. Therefore, the action recognition algorithm based on skeletal point data has received more and...
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Chapter and Conference Paper
The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published...
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Chapter and Conference Paper
A Multi-level Parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions
The extensive instruction-set for deep learning (DL) significantly enhances the performance of general-purpose architectures by exploiting data-level parallelism. However, it is challenging to design arithmeti...
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Chapter and Conference Paper
Low-hysteresis Flexible Strain Sensors Based on Liquid Metal for Human-Robot Interaction
Flexible strain sensors have aroused great interest in the fields of human-machine interaction, human motion detection, and wearable devices. However, develo** flexible strain sensors with low hysteresis, la...
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Chapter and Conference Paper
Efficient Visual Tracking via Hierarchical Cross-Attention Transformer
In recent years, target tracking has made great progress in accuracy. This development is mainly attributed to powerful networks (such as transformers) and additional modules (such as online update and refinem...
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Chapter and Conference Paper
DeTAR: A Decision Tree-Based Adaptive Routing in Networks-on-Chip
The deployment of heuristic algorithms is extensively utilized in the routing policy of Networks-on-Chip (NoCs). However, the escalating complexity and heterogeneity of multi-core architectures present a formi...
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Chapter and Conference Paper
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
Develo** and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lac...
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Chapter and Conference Paper
TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory
Communication plays an important role in Internet of Things that assists cooperation between devices for better resource management. This work considers the problem of learning cooperative policies using commu...
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Chapter and Conference Paper
A Novel High-Performance Implementation of CRYSTALS-Kyber with AI Accelerator
Public-key cryptography, including conventional cryptosystems and post-quantum cryptography, involves computation-intensive workloads. With noticing the extraordinary computing power of AI accelerators, in thi...
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Chapter and Conference Paper
Research on Inventory Control Method of Cold Chain Logistics Enterprises Under the Background of New Energy Consumption
The conventional inventory control method does not accurately calculate the inventory cost of cold chain logistics, which leads to its poor application effect. In order to optimize the inventory control capabi...
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Chapter and Conference Paper
Compiler-Assisted Operator Template Library for DNN Accelerators
Despite many dedicated accelerators are gaining popularity for their performance and energy efficiency in the deep neural network (DNN) domain, high-level programming support for these accelerators remains thi...
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Chapter and Conference Paper
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Single Object Tracking is the third annual UAV tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECC...
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Chapter and Conference Paper
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 chal...
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Chapter and Conference Paper
Non-invasive Sleep Assistance System Design Based on IoT
With the accelerated pace of life in modern society, various sleep problems have become increasingly prominent and spread to younger groups. Meanwhile, people are beginning to accept the use of IoT products t...
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Chapter and Conference Paper
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...
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Chapter and Conference Paper
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...