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Article
Enhancing UAV tracking: a focus on discriminative representations using contrastive instances
Addressing the core challenges of achieving both high efficiency and precision in UAV tracking is crucial due to limitations in computing resources, battery capacity, and maximum load capacity on UAVs. Discrim...
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Article
Fisher pruning for develo** real-time UAV trackers
Unmanned aerial vehicle (UAV)-based tracking has shown large potential in various domains such as transportation, logistics, public safety, and more. However, deploying deep learning (DL)-based tracking algori...
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Chapter and Conference Paper
Seepage Analysis of Drainage Decompression in Slo** Basement
The accidents of bottom floor cracking occur on underground structure due to uplift pressure. Especially in the southern rainy area, super large buildings on slope with high underground water level are in a co...
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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...
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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...
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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...
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Chapter and Conference Paper
A Survey of Emergency Self-Running Power Supply Schemes for Rail Transit Vehicles
When the power supply fails, the rail transit vehicles stay in place and wait for rescue, which not only has great hidden danger, but also affects the efficiency of train operation. In order to solve this prob...
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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 ...
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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...
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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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Article
Open AccessEvolution of the dense packings of spherotetrahedral particles: from ideal tetrahedra to spheres
Particle shape plays a crucial role in determining packing characteristics. Real particles in nature usually have rounded corners. In this work, we systematically investigate the rounded corner effect on the d...
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Article
A computational investigation on random packings of sphere-spherocylinder mixtures
Random packings of binary mixtures of spheres and spherocylinders with the same volume and the same diameter were simulated by a sphere assembly model and relaxation algorithm. Simulation results show that, in...
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Article
Maximum packing densities of basic 3D objects
Numerical simulation results show that the upper bound order of random packing densities of basic 3D objects is cube (0.78) > ellipsoid (0.74) > cylinder (0.72) > spherocylinder (0.69) > tetrahedron (0.68) > c...
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Article
A fast and practical method to pack spheres for mesh generation
Sphere packing is an attractive way to generate high quality mesh. Several algorithms have been proposed in this topic, however these algorithms are not sufficiently fast for large scale problems. The paper pr...
