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Found 13 papers, 2 papers with code
Temporal Bilinear Networks for Video Action Recognition
Temporal modeling in videos is a fundamental yet challenging problem in computer vision.
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems
A Generative Adversarial Network (GAN) with generator $G$ trained to model the prior of images has been shown to perform better than sparsity-based regularizers in ill-posed inverse problems.
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition
Subsequently, in temporal analysis, we use TCNs to extract temporal features and employ improved Squeeze-and-Excitation Networks (SENets) to strengthen the representational power of temporal features from each TCNs' layers.
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems
Furthermore, we relate the denoising performance improvement by combining multiple models, to the image model relationships.
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Imaging depth and spectrum have been extensively studied in isolation from each other for decades.
Multispectral Illumination Estimation Using Deep Unrolling Network
This paper examines the problem of illumination spectra estimation in multispectral images.
ISP-Agnostic Image Reconstruction for Under-Display Cameras
To obtain large quantities of real under-display camera training data with sufficient contrast and scene diversity, we furthermore develop a data capture method utilizing an HDR monitor, as well as a data augmentation method to generate suitable HDR content.
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation
In the field of planting fruit trees, pre-harvest estimation of fruit yield is important for fruit storage and price evaluation.
Achieving a Given Financial Goal with Optimal Deferred Term Insurance Purchasing Policy
It is worth noting that when m=0, n \rightarrow \infty, our problem is equivalent to achieving the just mentioned bequest goal by purchasing whole life insurance, at which point the maximum probability and the life insurance purchasing strategies we provide are consistent with those in \cite{Bayraktar2014, Bayraktar2016}.
Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023
In this report, we describe the technical details of our submission to the EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023, by Team "AcieLee" (username: Yuqi\_Li).
Spec-NeRF: Multi-spectral Neural Radiance Fields
We propose Multi-spectral Neural Radiance Fields(Spec-NeRF) for jointly reconstructing a multispectral radiance field and spectral sensitivity functions(SSFs) of the camera from a set of color images filtered by different filters.
Accurate battery lifetime prediction across diverse aging conditions with deep learning
Here we introduce a universal deep learning approach that is capable of accommodating various aging conditions and facilitating effective learning under low-resource conditions by leveraging data from rich conditions.
BatteryML:An Open-source platform for Machine Learning on Battery Degradation
Battery degradation remains a pivotal concern in the energy storage domain, with machine learning emerging as a potent tool to drive forward insights and solutions.
