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video_features
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.SpecVQGAN
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)BMT
Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)MDVC
PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"SparseSync
Source code for "Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors." (Spotlight at the BMVC 2022)WebsiteYOLO
The back-end for the YOLOv3 object detector running as a webappSynchformer
Efficient synchronization from sparse cuesVoxCeleb
An attempt to replicate the results of [1706.08612] VoxCeleb: a large-scale speaker identification datasetCORSMAL
π π Top-1 Submission to CORSMAL Challenge 2020 (at ICPR). The winning solution for the CORSMAL Challenge (on Intelligent Sensing Summer School 2020)JumpMethod
Selecting a Proper Number of Clusters Using Jumps Methodv-iashin.github.io
Personal webpageFoursquareAPI
A simple example of using Foursquare API to get the data about a venue (Tips, UserId, and other info) and the data about a user (homecity, gender, number of friends, lists, checkins, photos, and tips) on PythonLearnablePINs
An attempt to replicate the results of [1805.00833] Learnable PINs: Cross-Modal Embeddings for Person IdentityTuniSurvivalKit
The ultimate survival kit for Ph.D. students at Tampere UniversityEM
EM-algorithm for two 1-dimentional Gaussians on vanilla-PythonCopulaDensityEstimator
Recursive non-parametric estimation of the copula densitySamplingChessboardWithQueens
Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated AnnealingLove Open Source and this site? Check out how you can help us