351 Result(s)
within
Zhuo** **e
Computer Science
Image Processing and Computer Vision
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Article
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 tasks. Therefore, how to quickly and efficiently process hazy...
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Article
A digital speckle stereo matching algorithm based on epipolar line correction
When the digital speckle correlation method captures images under certain working conditions, the extreme tilt of the camera leads to a weak correlation between the left and right images, which in turn makes t...
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Article
Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR) remote sensing imagery. Howe...
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Article
RaSTFormer: region-aware spatiotemporal transformer for visual homogenization recognition in short videos
With the surge in network traffic, the homogenization of short video content is becoming increasingly prominent, resulting in low-quality entertainment due to proliferation and infringement. Therefore, recogni...
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Article
SSE-YOLOv5: a real-time fault line selection method based on lightweight modules and attention models
To address the problems of low precision and poor anti-noise performance of the standard route selection method for the small current grounding faults, a fault line selection approach based on YOLOv5 network t...
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Article
Unpaved road segmentation of UAV imagery via a global vision transformer with dilated cross window self-attention for dynamic map
Road segmentation is a fundamental task for dynamic map in unmanned aerial vehicle (UAV) path navigation. In unplanned, unknown and even damaged areas, there are usually unpaved roads with blurred edges, defor...
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Article
Open AccessMCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates a...
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Article
FSODv2: A Deep Calibrated Few-Shot Object Detection Network
Traditional methods for object detection typically necessitate a substantial amount of training data, and creating high-quality training data is time-consuming. We propose a novel Few-Shot Object Detection net...
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Article
Unbiased scene graph generation using the self-distillation method
Scene graph generation (SGG) aims to build a structural representation for the image with the object instance and the relations between object pairs. Due to the long-tail distribution of the dataset labeling, ...
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Article
Meningioma segmentation with GV-UNet: a hybrid model using a ghost module and vision transformer
Meningiomas are the most common intracranial tumors in adults. The size and shape of a tumor mostly rely on manual measurement by a neurosurgeon. In recent years, deep learning has rapidly developed and has gr...
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Article
MVTr: multi-feature voxel transformer for 3D object detection
Convolutional neural networks have become a powerful tool for partial 3D object detection. However, their power has not been fully realized for focusing on global information, which is crucial for object detec...
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Article
Audio steganography cover enhancement via reinforcement learning
Recent advancements in steganography analysis based on deep neural networks have led to the development of steganography schemes that incorporate deep network technology like adversarial example, GAN, and rein...
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Article
HDUD-Net: heterogeneous decoupling unsupervised dehaze network
Haze reduces the imaging effectiveness of outdoor vision systems, significantly degrading the quality of images; hence, reducing haze has been a focus of many studies. In recent years, decoupled representation...
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Article
ACX-UNet: a multi-scale lung parenchyma segmentation study with improved fusion of skip connection and circular cross-features extraction
Convolutional neural networks (CNN) are widely used in the field of computer-aided diagnosis of lung diseases. Its main tasks are segmentation of lung parenchyma, lung nodule detection and lesion analysis. Amo...
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Chapter and Conference Paper
Efficient 3D View Synthesis from Single-Image Utilizing Diffusion Priors
In this paper, we introduce a novel framework for synthesizing novel views of objects from a single image. Leveraging the capabilities of fine-tuned diffusion models, our method combines latent 3D knowledge as...
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Chapter and Conference Paper
A Framework Combining Separate and Joint Training for Neural Vocoder-Based Monaural Speech Enhancement
Conventional single-channel speech enhancement methodologies have predominantly emphasized the enhancement of the amplitude spectrum while preserving the original phase spectrum. Nonetheless, this may introduc...
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Chapter and Conference Paper
Few Shot Specific Emitter Identification Based on Triplet Loss
Deep learning-based RF fingerprinting has emerged as a crucial approach for device authentication. However, this technology often requires a large number of labelled samples practically. To address this issue,...
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Chapter and Conference Paper
Iterative Noisy-Target Approach: Speech Enhancement Without Clean Speech
Traditional Deep Neural Network based speech enhancement usually requires clean speech as the target of training. However, limited access to ideal clean speech hinders its practical use. Meanwhile, existing se...
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Chapter and Conference Paper
3D Multi-scene Stylization Based on Conditional Neural Radiance Fields
Neural Radiation Field (NeRF) is a scene model capable of achieving high-quality view synthesis, optimized for each specific scene. In this paper, we propose a conditional neural radiation field based on multi...
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Chapter and Conference Paper
End-to-End Streaming Customizable Keyword Spotting Based on Text-Adaptive Neural Search
Streaming keyword spotting (KWS) is an important technique for voice assistant wake-up. While KWS with a preset fixed keyword has been well studied, test-time customizable keyword spotting in streaming mode re...
