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Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis
Multivariate time series (MTS) analysis plays an important role in various real-world applications. Existing Transformer-based methods …
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Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure
In real-world applications, image degeneration caused by adverse weather is always complex and changes with different weather …
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Position-based anchor optimization for point supervised dense nuclei detection
Nuclei detection is one of the most fundamental and challenging problems in histopathological image analysis, which can localize nuclei …
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Uncertainty Modeling for Gaze Estimation
Gaze estimation is an important fundamental task in computer vision and medical research. Existing works have explored various …
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Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching
Weakly supervised semantic segmentation (WSSS) is a challenging yet important research field in vision community. In WSSS, the key …
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Integrating part-object relationship and contrast for camouflaged object detection
Object detectors that solely rely on image contrast are struggling to detect camouflaged objects in images because of the high …
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Structured Attention Composition for Temporal Action Localization
Temporal action localization aims at localizing action instances from untrimmed videos. Existing works have designed various effective …
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Onfocus detection: identifying individual-camera eye contact from unconstrained images
Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not. Based on the …
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Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic …
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Exploring rich intermediate representations for reconstructing 3D shapes from 2D images
Recovering 3D voxelized shapes with fine details from single-view 2D images is an extremely challenging and ill-conditioned problem. …
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