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A deep dive into enhancing sharing of naturalistic driving data through face deidentification
Human factors research in transportation relies on naturalistic driving studies (NDS) which collect real-world data from drivers on actual roads. NDS...
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MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’...
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FEF-Net: feature enhanced fusion network with crossmodal attention for multimodal humor prediction
Humor segment prediction in video involves the comprehension and analysis of humor. Traditional humor prediction has been text-based; however, with...
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Selfredepth
Depth maps produced by consumer-grade sensors suffer from inaccurate measurements and missing data from either system or scene-specific sources....
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DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
Nowadays, cervical cancer is a leading cause of death among women. Determining the gene signature is one of the major issues in bioinformatics....
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Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual...
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Real-time salient object detection based on accuracy background and salient path source selection
Boundary and connectivity prior are common methods for detecting the image salient object. They often address two problems: 1) if the salient object...
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YOLO-FGD: a fast lightweight PCB defect method based on FasterNet and the Gather-and-Distribute mechanism
With the rapid expansion of the electronics industry, the demand for high-quality printed circuit boards has surged. However, existing PCB defect...
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FastBeltNet: a dual-branch light-weight network for real-time conveyor belt edge detection
Belt conveyors are widely used in multiple industries, including coal, steel, port, power, metallurgy, and chemical, etc. One major challenge faced...
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Deep attentive multimodal learning for food information enhancement via early-stage heterogeneous fusion
In contrast to single-modal content, multimodal data can offer greater insight into food statistics more vividly and effectively. But traditional...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not...
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A channel-gained single-model network with variable rate for multispectral image compression in UAV air-to-ground remote sensing
Unmanned aerial vehicle (UAV) air-to-ground remote sensing technology, has the advantages of long flight duration, real-time image transmission, wide...
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Semantic guidance incremental network for efficiency video super-resolution
In video streaming, bandwidth constraints significantly affect client-side video quality. Addressing this, deep neural networks offer a promising...
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Generative adversarial networks for handwriting image generation: a review
Handwriting synthesis, the task of automatically generating realistic images of handwritten text, has gained increasing attention in recent years,...
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Analysis of MR–VR tele-operation methods for legged-manipulator robots
The development of immersive technologies in recent years has facilitated the control and execution of tasks at a high level of complexity in robotic...
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Spatial resolution measurement method for 3D displays from contrast modulation
Augmented Reality 3D head-up displays use a autostereoscopic 3D display as a panel. The 3D optical unit of autostereoscopic 3D displays controls the...
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Exploring high-quality image deraining Transformer via effective large kernel attention
In recent years, Transformer has demonstrated significant performance in single image deraining tasks. However, the standard self-attention in the...
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Artistic style decomposition for texture and shape editing
While methods for generative image synthesis and example-based stylization produce impressive results, their black-box style representation...
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LERFNet: an enlarged effective receptive field backbone network for enhancing visual drone detection
Recently, the world has witnessed a great increase in drone applications and missions. Drones must be detected quickly, effectively, and precisely...
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DCSG: data complement pseudo-label refinement and self-guided pre-training for unsupervised person re-identification
Existing unsupervised person re-identification (Re-ID) methods use clustering to generate pseudo-labels that are generally noisy, and initializing...
