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Article
MDSSD: multi-scale deconvolutional single shot detector for small objects
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Article
Transferring priors from virtual data for crowd counting in real world
In recent years, crowd counting has increasingly drawn attention due to its widespread applications in the field of computer vision. Most of the existing methods rely on datasets with scarce labeled images to ...
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Article
Open AccessTrajectory distributions: A new description of movement for trajectory prediction
Trajectory prediction is a fundamental and challenging task for numerous applications, such as autonomous driving and intelligent robots. Current works typically treat pedestrian trajectories as a series of 2D...
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Chapter and Conference Paper
Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition
Despite great progress achieved by transformer in various vision tasks, it is still underexplored for skeleton-based action recognition with only a few attempts. Besides, these methods directly calculate the p...
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Article
Open AccessA novel adaptive beamforming scheme for array signal data processing
When the desired signal data exists in the array received data or the steering vector has a mismatch problem, the current traditional adaptive beamformers will suffer from the effect of the desired signal canc...
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Chapter and Conference Paper
DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging
Polarized non-line-of-sight (NLOS) imaging is a promising visual perception technique for enhancing the visibility of occluded objects hidden behind walls. The main challenge of this task is that conventional ...
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Article
Foreground–background separation transformer for weakly supervised surface defect detection
In industrial scenarios, weakly supervised pixel-level defect detection methods leverage image-level labels for training, significantly reducing the effort required for manual annotation. However, existing met...
