93 Result(s)
within
**u Tao
English
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
Signal, Image and Speech Processing
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Article
A new virtual interpolation technology with range as object
Virtual interpolation technology can be applied to direction-of-arrival (DOA) estimation as a preprocessing technique to achieve the DOA estimation for any array. In order to solve the angle-sensitive problem ...
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Article
DML-YOLOv8-SAR image object detection algorithm
Given the challenges posed by noise and varying target scales in SAR images, conventional convolutional neural networks often underperform in SAR image detection. To address this, this paper introduces a novel...
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Article
Using improved YOLO V5s to recognize tomatoes in a continuous working environment
In the continuous working environment of the picking robots, factors such as illumination change, camera hardware, the movement of the picking robots, and image background interference have a great impact on t...
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Article
Shuff-BiseNet: a dual-branch segmentation network for pavement cracks
In order to accurately obtain the shape and size of pavement cracks, analyze the severity of pavement cracks, avoid deterioration of the situation, and take timely measures, we proposed a dual-branch structure...
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Article
Research on image caption generation method based on multi-modal pre-training model and text mixup optimization
In recent years, multi-modal pre-training models have demonstrated remarkable cross-modal representation capabilities, catalyzing the rapid evolution of multi-modal downstream tasks, particularly in image capt...
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Article
YOLO-MTG: a lightweight YOLO model for multi-target garbage detection
With wide adoption of deep learning technology in AI, intelligent garbage detection has become a hot research topic. However, existing datasets currently used for garbage detection rarely involves multi-catego...
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Article
An effective masked transformer network for image denoising
The rising popularity of employing deep learning networks for image denoising can be observed over the past decade. Typically, their exceptional performance is rooted in their ability to learn the map** from...
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Article
Human risky behaviour recognition during ladder climbing based on multi-modal feature fusion and adaptive graph convolutional network
Human falls during ladder climbing are typically instantaneous, making the timely and accurate determination of security risks during ladder climbing a challenging engineering issue. A skeleton-based behaviour...
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Article
Boosting image denoising effect via low-level noise injection
In the past decade, supervised denoising models trained on large datasets have demonstrated impressive performance in image denoising due to their superior denoising effect. However, these models lack flexibil...
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Article
Particle recognition and shape parameter detection based on deep learning
The size and shape parameters of sand particles are closely related to their geophysical and geomechanical properties. It is challenging to accurately identify sand particles and calculate their shape paramete...
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Chapter and Conference Paper
MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification
Video super-resolution is a pivotal task that involves the recovery of high-resolution video frames from their low-resolution counterparts, possessing a multitude of applications in real-world scenarios. Withi...
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Chapter and Conference Paper
A Coarse and Fine Grained Masking Approach for Video-Grounded Dialogue
The task of Video-Grounded Dialogue involves develo** a multimodal chatbot capable of answering sequential questions from humans regarding video content, audio, captions and dialog history. Although existing...
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Chapter and Conference Paper
High Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Value Preprocessing and Block Classification
Reversible data hiding in encrypted images (RDHEI) can simultaneously achieve secure transmission of images and secret storage of embedded additional data, which can be used for cloud storage and privacy prote...
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Article
An attention-erasing stripe pyramid network for face forgery detection
Face forgery detection aims to distinguish between real and fake facial images or videos by identifying manipulated or forged visual media. The main challenge in face forgery detection is achieving high model ...
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Article
Polarization image fusion based on grouped densely connected network
The degree of linear polarization has detailed features such as contour, texture, and roughness of the object, while the intensity image (S0) receives reflected and transmitted light, which contains rich backg...
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Article
MSNet: a lightweight multi-scale deep learning network for pedestrian re-identification
Pedestrian re-identification is highly dependent on discriminative features that enable images to encapsulate an arbitrary combination of multiple scales by different spatial scales. However, current models di...
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Article
Learning discriminative features for person re-identification via multi-spectral channel attention
Person re-identification (Re-ID) aims to match a particular person captured by different cameras, which has great potential in video surveillance. However, Re-ID is still challenging due to occlusions, misalig...
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Article
Severe motion blurred silkworm pupae image restoration in sex discrimination
The task of sex determination of silkworm pupae is usually accomplished using machine learning technology. However, the captured image included much blur because of live silkworm pupae’s writhing, which makes ...
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Article
Multi-feature aggregation network for salient object detection
As the network deepens, the boundary information and small object will be lost, which result in blurred edges and incomplete salient detection. In this paper, we propose a multi-feature aggregated network to s...
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Article
Fake license plate recognition in surveillance videos
Fake license plate (FLP) recognition aims to identify modified, defaced or forged license plates in traffic videos and images. The recognition result, that is, the vehicle with an FLP, is important information...
