11 Result(s)
within
Chapter
Shui**g Li
Computer Science
-
Chapter and Conference Paper
Tracking Small and Fast Moving Objects: A Benchmark
With more and more large-scale datasets available for training, visual tracking has made great progress in recent years. However, current research in the field mainly focuses on tracking generic objects. In th...
-
Chapter and Conference Paper
Research on the Idea of Realizing “Low-Carbon Economy and Zero-Carbon City” by Electric Power and Transportation System in Smart Cities
Low-carbon economy and zero-carbon cities are a systematic social transformation that is taking place worldwide. As we all know, the key to the generation and reduction of carbon is to change the production mo...
-
Chapter and Conference Paper
Detection Beyond What and Where: A Benchmark for Detecting Occlusion State
Object detection is a computer vision technique that provides the most fundamental information for computer vision applications: “What objects are where?”, which has achieved significant progress thanks to the...
-
Chapter and Conference Paper
Low-Quality 3D Face Recognition with Soft Thresholding
3D face recognition has developed rapidly in the past decade for its robustness to large variations of illumination and pose. Plenty of researches in the past have been done based on high-quality 3D faces, whi...
-
Chapter and Conference Paper
Learning Disentangled Representation for Fine-Grained Visual Categorization
Fine-grained visual categorization (FGVC) that aims to recognize objects from subcategories with very subtle differences remains a challenging task due to the large intra-class and small inter-class variation ...
-
Chapter and Conference Paper
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking
(Discriminative) Correlation Filter has been successfully applied to visual tracking and has advanced the field significantly in recent years. Correlation filter-based trackers consider visual tracking as a pr...
-
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 ...
-
Chapter and Conference Paper
Analysis on the Application of AI Technology in Online Education Under the Public Epidemic Crisis
In order to prevent the spread of COVID-19, online education has become a learning way for primary and secondary schools and universities. However, the rapid development of online education faces many challeng...
-
Chapter and Conference Paper
Inferring Travel Purposes for Transit Smart Card Data Using
Understanding travel purposes is crucial for urban transportation planning and resource allocation. Conventionally, travel purposes are obtained from household travel survey, however, household travel survey i...
-
Chapter and Conference Paper
ω- Convergence Theory of Filters in Lω-Spaces
In this paper, an ω-convergence theory of filters in an Lω-space is established. By means of the ω-convergence theory, some important characterizations with respective to the ω-closed sets, ωT 2 s...
-
Chapter and Conference Paper
Coupled Fusion Simulation Using the Common Component Architecture
The physics of magnetically-confined fusion plasmas involves many different processes with multiple time and length scales that cover many orders of magnitude. As the capability of large parallel computers con...
