AndyTang15

AndyTang15

Geek Repo

Company:University of Oxford

Home Page:https://andytang15.github.io/

Github PK Tool:Github PK Tool

AndyTang15's starred repositories

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Language:PythonLicense:MITStargazers:13275Issues:127Issues:304

Deformable-ConvNets

Deformable Convolutional Networks

Language:PythonLicense:MITStargazers:4014Issues:126Issues:262

FCIS

Fully Convolutional Instance-aware Semantic Segmentation

Language:CudaLicense:MITStargazers:1564Issues:128Issues:149

Deep-Feature-Flow

Deep Feature Flow for Video Recognition

Language:PythonLicense:MITStargazers:1302Issues:60Issues:91

TimeCycle

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

DynamicViT

[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Language:Jupyter NotebookLicense:MITStargazers:540Issues:10Issues:44

ACTOR

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

Language:PythonLicense:MITStargazers:365Issues:11Issues:22

PixPro

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Language:PythonLicense:MITStargazers:329Issues:11Issues:28

videowalk

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

Language:PythonLicense:MITStargazers:265Issues:20Issues:44

st-resnet

Code release for "Spatiotemporal Residual Networks for Video Action Recognition", NIPS16 & "Spatiotemporal Multiplier Networks for Video Action Recognition", CVPR17.

UVC

Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)

Language:PythonLicense:MITStargazers:176Issues:13Issues:6

transductive-vos.pytorch

a transductive approach for video object segmentation

Language:JavaScriptLicense:MITStargazers:131Issues:3Issues:3

DMML

code for ICCV19 paper "Deep Meta Metric Learning"

Language:PythonLicense:NOASSERTIONStargazers:102Issues:8Issues:8

ntds_2016

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

Language:Jupyter NotebookLicense:MITStargazers:97Issues:20Issues:0

MTL-AQA

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Language:PythonLicense:MITStargazers:47Issues:4Issues:4