Search Results for author:
Found 8 papers, 1 papers with code
Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
The perception capability of robotic systems relies on the richness of the dataset.
Ranked #1 on
Thermal Image Segmentation
on PST900
CMAR-Net: Accurate Cross-Modal 3D SAR Reconstruction of Vehicle Targets with Sparse Multi-Baseline Data
This work highlights the potential of deep learning for multi-baseline SAR 3D imaging and introduces a novel framework for radar imaging research through cross-modal learning.
AxonCallosumEM Dataset: Axon Semantic Segmentation of Whole Corpus Callosum cross section from EM Images
Furthermore, the absence of publicly available, large-scale EM datasets encompassing complete cross sections of the corpus callosum, with dense ground truth segmentation for axons and myelin sheaths, hinders the advancement and evaluation of holistic corpus callosum reconstructions.
Towards Large-scale Single-shot Millimeter-wave Imaging for Low-cost Security Inspection
These elements are then sampled based on the ranking, building the experimentally optimal sparse sampling strategy that reduces the cost of antenna array by up to one order of magnitude.
Compressive Sensing Based Sparse MIMO Array Optimization for Wideband Near-Field Imaging
In the area of near-field millimeter-wave imaging, the generalized sparse array synthesis (SAS) method is in great demand.
Near-Field Millimeter-Wave Imaging via Arrays in the Shape of Polyline
This paper proposes a polyline shaped array based system scheme, associated with mechanical scanning along the perpendicular direction of the array, for near-field millimeter-wave (MMW) imaging.
Near-Field Millimeter-Wave Imaging via Circular-Arc MIMO Arrays
Millimeter-wave (MMW) imaging has a wide prospect in application of concealed weapons detection.
Efficient Near-Field Imaging Using Cylindrical MIMO Arrays
Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection.
