501. MarrmotModular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 46 conceptual hydrologic models
502. Ubc3vThe Matlab toolkit for UBC 3 View Dataset.
503. Vote3deep lidarImplementation of Vote3Deep algorithm on KITTI Object detection data to reproduce the current benchmark results.
504. Adaptive ControlAdaptive control methods developed by Karl Johan Åström and Björn Wittenmark from the 70-80's for industrial use
505. C V2xAnalytical Models of the Performance of C-V2X Mode 4 Vehicular Communications
506. LetoLETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force equilibrium with MPM. With carrier particles as design variables, LETO reparameterizes the Eulerian solution space in a Lagrangian view.
512. EigtoolEigTool is open MATLAB software for analyzing eigenvalues, pseudospectra, and related spectral properties of matrices.
513. Iccv2015 brain4carsCode for ICCV2015 paper "Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models"
520. OpenmaLibrary to explore, process, and analyze movement acquisition data
521. Fast face detectorA face detector based on the work "Aggregate channel features for multi-view face detection" presented by Bin Yang, Junjie Yan, Zhen Lei and Stan Z. Li.
522. Pl ClcImplementation for our paper "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues."
523. IvaIVA: Independent Vector Analysis implementation
524. DepthsrfromshadingThis code implements the approach for the following research paper: Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading; B. Haefner, Y. Quéau, T. Möllenhoff, D. Cremers; Computer Vision and Pattern Recognition (CVPR), 2018.
526. MaestroAn analytical cost model evaluating DNN mappings (dataflows and tiling).
529. Mexconv3dMatlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network
535. RshrfrsHRF: A Toolbox for Resting State HRF Deconvolution and Connectivity Analysis (MATLAB)
536. Eccv16 CbnDemo code + Caffe prototxt training file, for Shizhan Zhu et al.'s ECCV-16 work Deep Cascaded Bi-Network for Face Hallucination
538. Patternrecognition matlabFeature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
539. Formation flight simThe simulation of formation control for quadrotor, including target allocation, global path planning and local path planning
542. Fault diagnosis ballbearing waveletBearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
543. ColorrealismCode from the ICCV'07 paper "Using Color Compatibility for Assessing Image Realism"
544. CspSpectral Clustering for Complex Graphs
546. Tensormatlab code for convex optimization based tensor decomposition (completion/denoising)