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检索条件"机构=Computer Vision Technology"
4544 条 记 录,以下是1-10 订阅
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LucIE: Language-guided local image editing for fashion images
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Computational Visual Media 2025年 第1期11卷 179-194页
作者: Huanglu Wen Shaodi You Ying Fu School of Computer Science and Technology Beijing Institute of TechnologyBeijingChina Computer Vision Research Group in the Institute of Informatics University of AmsterdamAmsterdamthe Netherlands
Language-guided fashion image editing is challenging,as fashion image editing is local and requires high precision,while natural language cannot provide precise visual information for *** this paper,we propose LucIE,a... 详细信息
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Patch Attention Excitation Based vision Transformer for Small-Sized Datasets
Patch Attention Excitation Based Vision Transformer for Smal...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Verma, Akash Dubey, Shiv Ram Singh, Satish Kumar Computer Vision and Biometrics Lab Indian Institute of Information Technology Allahabad India
vision Transformers have proven their mettle across a variety of computer vision problems, however, their reliance on pretraining with very large-scale datasets such as JFT-300M is also no secret, as large amounts of ... 详细信息
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TSC:Efficient FRB Signal Search by a Two-stage Cascade Deep Learning Model on FAST
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Research in Astronomy and Astrophysics 2025年 第3期25卷 60-69页
作者: Ronghuan Yan Junlin Li Weixin Tian Nyasha Mkwanda Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges University College of Computer and Information Technology China Three Gorges University
Fast Radio Bursts(FRBs) have emerged as one of the most intriguing and enigmatic phenomena in the field of radio astronomy. The key of current related research is to obtain enough FRB signals. computer-aided search is... 详细信息
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Real-Time Multi-object Tracking Using YOLOv8 and SORT on a SoC FPGA  21st
Real-Time Multi-object Tracking Using YOLOv8 and SORT on a...
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21st International Symposium on Applied Reconfigurable Computing, ARC 2025
作者: Danilowicz, Michal Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Multi-object tracking (MOT) is one of the most important problems in computer vision and a key component of any vision-based perception system used in advanced autonomous mobile robotics. Therefore, its implementation... 详细信息
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SAda-Net: A Self-supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Data  27th
SAda-Net: A Self-supervised Adaptive Stereo Estimation CNN F...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Hirner, Dominik Fraundorfer, Friedrich Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Cologne Germany
Stereo estimation has made many advancements in recent years with the introduction of deep-learning. However the traditional supervised approach to deep-learning requires the creation of accurate and plentiful ground-... 详细信息
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Adjustable Visual Appearance for Generalizable Novel View Synthesis  4th
Adjustable Visual Appearance for Generalizable Novel View S...
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4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024
作者: Bengtson, Josef Nilsson, David Lin, Che-Tsung Büsching, Marcel Kahl, Fredrik Computer Vision Group Chalmers University of Technology Gothenburg Sweden KTH Royal Institute of Technology Stockholm Sweden
We present a generalizable novel view synthesis method which enables modifying the visual appearance of an observed scene so rendered views match a target weather or lighting condition, without any scene specific trai... 详细信息
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PSTNet: A Progressive Sparse Transformer Network for Image Deraining  27th
PSTNet: A Progressive Sparse Transformer Network for Image ...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Shaik, Raj Ahamed Singh, Navjot Verriboina, Antony Shandilya, Debesh Kumar Computer Vision and Biometrics Lab Department of Information Technology Indian Institute of Information Technology Uttar Pradesh Allahabad India
Image deraining aims to transform a rainy input image into an image of high quality. Transformer-based techniques have demonstrated remarkable efficacy in image deraining because of their capacity to re... 详细信息
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Multi-teacher Importance Preserving Knowledge Distillation for Early Violence Prediction  27th
Multi-teacher Importance Preserving Knowledge Distillation f...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Basak, Suvramalya Vaishy, Aditya Gautam, Anjali Computer Vision and Biometrics Lab Indian Institute of Information Technology Allahabad U.P. Prayagraj India
The real-world applicability of automated violence recognition systems has drawn much attention from researchers. The current techniques for recognizing violence are centered on creating efficient models that can pred... 详细信息
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Advancing Handwritten Text Detection by Synthetic Text  27th
Advancing Handwritten Text Detection by Synthetic Text
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Muth, Markus Peer, Marco Kleber, Florian Sablatnig, Robert Computer Vision Lab Institute of Visual Computing and Human-Centered Technology TU Wien Wien1040 Austria
In this paper, the usability of synthetic handwritten text to improve machine learning models is examined for the domain of handwritten text detection. We generate synthetic handwritten text by using an existing model... 详细信息
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DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-Id
DLCR: A Generative Data Expansion Framework via Diffusion fo...
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2025 IEEE/CVF Winter Conference on Applications of computer vision, WACV 2025
作者: Siddiqui, Nyle Croitoru, Florinel Alin Nayak, Gaurav Kumar Ionescu, Radu Tudor Shah, Mubarak University of Central Florida Center for Research in Computer Vision United States University of Bucharest Romania Indian Institute of Technology Roorkee India
With the recent exhibited strength of generative diffusion models, an open research question is if images generated by these models can be used to learn better visual representations. While this generative data expans... 详细信息
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