Search Results for author:
Found 9 papers, 2 papers with code
See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI
Our model integrates a high-level perception decoding pipeline and a pixel-wise reconstruction pipeline guided by high-level perceptions, simulating bottom-up and top-down processes in neuroscience.
From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs
In this work, we introduce a novel tool invocation pipeline designed to control massive real-world APIs.
BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding
Our experiments show that this combination can boost the decoding model's performance on certain tasks like fMRI-text matching and fMRI-to-image generation.
Image Super-Resolution using Efficient Striped Window Transformer
However, the challenge of balancing model performance and complexity has hindered their application in lightweight SR (LSR).
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
In this paper, we present non-asymptotic optimization guarantees of gradient descent methods for estimating structured transition matrices in high-dimensional vector autoregressive (VAR) models.
Phase-controlled pathway interferences and switchable fast-slow light in a cavity-magnon polariton system
We study the phase controlled transmission properties in a compound system consisting of a 3D copper cavity and an yttrium iron garnet (YIG) sphere.
Quantum Physics Applied Physics Optics
Phase Transitions in Recovery of Structured Signals from Corrupted Measurements
Our theoretical results show that these phase transitions are determined by some geometric measures of structure, e. g., the spherical Gaussian width of a tangent cone and the Gaussian (squared) distance to a scaled subdifferential.
The Herbarium Challenge 2019 Dataset
Herbarium sheets are invaluable for botanical research, and considerable time and effort is spent by experts to label and identify specimens on them.
Uneven illumination surface defects inspection based on convolutional neural network
Surface defect inspection based on machine vision is often affected by uneven illumination.
