5 papers · 1 filter
Aperture-aware Dispersion 5-D Light-field Imaging Spectrometer
Chenglong Huang, Tao Lv, Jianing Yang +3
Enhancing perceptual dimensions while miniaturizing imaging systems presents significant challenges for high-dimensional visual sensing. Conventionally, the acquisition of the 5D (…
Oscillating Dispersion for Maximal Light-throughput Spectral Imaging
Jiuyun Zhang, Zhan Shi, Linsen Chen +1
Existing computational spectral imaging systems typically rely on coded aperture and beam splitters that block a substantial fraction of incident light, degrading reconstruction qu…
Exploring Spatiotemporal Feature Propagation for Video-Level Compressive Spectral Reconstruction: Dataset, Model and Benchmark
Lijing Cai, Zhan Shi, Chenglong Huang +6
Recently, Spectral Compressive Imaging (SCI) has achieved remarkable success, unlocking significant potential for dynamic spectral vision. However, existing reconstruction methods,…
Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space
Zhicheng Cai, Hao Zhu, Linsen Chen +2
Implicit neural representation (INR) models signals as continuous functions using neural networks, offering efficient and differentiable optimization for inverse problems across di…
M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision
Kailai Zhou, Fuqiang Yang, Shixian Wang +5
RGB-Thermal (RGBT) multispectral vision is essential for robust perception in complex environments. Most RGBT tasks follow a case-by-case research paradigm, relying on manually cus…