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CrossFuse: A novel cross attention mechanism based infrared and visible image fusion approach
Multimodal visual information fusion aims to integrate the multi-sensor data into a single
image which contains more complementary information and less redundant features …
image which contains more complementary information and less redundant features …
Tri-perspective view decomposition for geometry-aware depth completion
Depth completion is a vital task for autonomous driving as it involves reconstructing the
precise 3D geometry of a scene from sparse and noisy depth measurements. However most …
precise 3D geometry of a scene from sparse and noisy depth measurements. However most …
Improving depth completion via depth feature upsampling
The encoder-decoder network (ED-Net) is a commonly employed choice for existing depth
completion methods but its working mechanism is ambiguous. In this paper we visualize the …
completion methods but its working mechanism is ambiguous. In this paper we visualize the …
Rgb guided tof imaging system: a survey of deep learning-based methods
Integrating an RGB camera into a ToF imaging system has become a significant technique
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …
Digging into depth priors for outdoor neural radiance fields
Neural Radiance Fields (NeRFs) have demonstrated impressive performance in vision and
graphics tasks, such as novel view synthesis and immersive reality. However, the shape …
graphics tasks, such as novel view synthesis and immersive reality. However, the shape …
A lightweight object detector with deformable upsampling for marine organism detection
W Ouyang, Y Wei, G Liu - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
Marine organism detection is a significant topic in the rational development and utilization of
ocean resources. Due to the low computational ability of underwater vehicles, large-scale …
ocean resources. Due to the low computational ability of underwater vehicles, large-scale …
Stereo-lidar depth estimation with deformable propagation and learned disparity-depth conversion
A Li, A Hu, W **
High-speed off-road navigation requires long-range, high-resolution maps to enable robots
to safely navigate over different surfaces while avoiding dangerous obstacles. However, due …
to safely navigate over different surfaces while avoiding dangerous obstacles. However, due …
Revisiting deformable convolution for depth completion
Depth completion, which aims to generate high-quality dense depth maps from sparse depth
maps, has attracted increasing attention in recent years. Previous work usually employs …
maps, has attracted increasing attention in recent years. Previous work usually employs …