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- Michigan State UniversityUS326 papers
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9 papers · 1 filter
MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification
Mohammed Q. Alkhatib, Ali Jamali
Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing deta…
Video Analysis and Generation via a Semantic Progress Function
Gal Metzer, Sagi Polaczek, Ali Mahdavi-Amiri +2
Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, ab…
Universal, sample-optimal algorithms for recovery of anisotropic functions from i.i.d. samples
Ben Adcock, Avi Gupta
A key problem in approximation theory is the recovery of high-dimensional functions from samples. In many cases, the functions of interest exhibit anisotropic smoothness, and, in m…
TrackerSplat: Exploiting Point Tracking for Fast and Robust Dynamic 3D Gaussians Reconstruction
Daheng Yin, Isaac Ding, Yili Jin +2
Recent advancements in 3D Gaussian Splatting (3DGS) have demonstrated its potential for efficient and photorealistic 3D reconstructions, which is crucial for diverse applications s…
Lightweight Prompt-Guided CLIP Adaptation for Monocular Depth Estimation
Reyhaneh Ahani Manghotay, Jie Liang
Leveraging the rich semantic features of vision-language models (VLMs) like CLIP for monocular depth estimation tasks is a promising direction, yet often requires extensive fine-tu…
Estimation of Functional Principal Components from Sparse Functional Data
Uche Mbaka, Jiguo Cao, Michelle Carey
Sparse functional data arise when measurements are observed infrequently and at irregular time points for each subject, often in the presence of measurement error. These characteri…