- ACCV
- All Areas
- Biomedical Imaging
- Classification
- Communication
- CVPR
- DeepFake
- Dehazing
- Denosing
- Detection
- Fusion
- ICPR
- Identification
- Image Enhancement
- Image Focus
- Infrared Image
- IoT
- Low-Light
- Metaverse
- Privacy Preserving
- Privacy-Preserving
- Re-identificatoin
- Recognition
- Remote Sensing
- Super-Resolution
- Tracking
- Turbulence Mitigation
- Vehicular Network
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Incorporating structural prior for depth regularization in shape from focus
Abstract Depth map reconstructed through passive or active methods usually has noise and exhibits poor shape quality. In the case…
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NTIRE 2023 Challenge on Image Denoising: Methods and Results
Abstract This paper reviews the NTIRE 2023 challenge on image denoising (sigma = 50) with a focus on the proposed…
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NTIRE 2023 Challenge on Image Super-Resolution (x4): Methods and Results
Abstract This paper reviews the NTIRE 2023 challenge on image super-resolution (x4), focusing on the proposed solutions and results. The…
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Multi-Modal Aerial View Object Classification Challenge Results – PBVS 2023
Abstract This paper presents the findings and results of the third iteration of the Multi-modal Aerial View Object Classification (MAVOC)…
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Edge-Enabled Blockchain-Based V2X Scheme for Secure Communication within the Smart City Development
Abstract As the high-mobility nature of the vehicles results in frequent leaving and joining the transportation network, real-time data must…
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ReFuSeAct: Representation Fusion using Self-Supervised Learning for Activity Recognition in Next Generation Networks
Abstract Over the years, wearable sensors have gained a lot of attention from the research community due to their non-invasive…
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TGF: Multiscale Transformer Graph Attention Network for Multi-Sensor Image Fusion
Abstract Multisensor image fusion is a challenging task that aims to produce a composite image by fusing visible (VI) and…
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Hybrid Conv-Attention Networks for Synthetic Aperture Radar Imagery-Based Target Recognition
Abstract In this study, we propose hybrid conv-attention networks that combine convolutional neural networks (CNNs) and transformers to recognize targets…
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LoLI-Street: Benchmarking Low-light Image Enhancement and Beyond
Abstract Low-light image enhancement (LLIE) is essential for numerous computer vision tasks, including object detection, tracking, segmentation, and scene understanding.…

