3DMM-ICME2023

2s-AGCN

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

3DMM-ICME2023.github.io

AnomalyDetectionCVPR2018

awesome-grounding

awesome grounding: A curated list of research papers in visual grounding

Awesome-Temporally-Language-Grounding

A curated list of “Temporally Language Grounding” and related area

bigfish_codes

block.bootstrap.pytorch

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

CDCS

Chinese Data Competitions' Solutions

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

FCHD-Fully-Convolutional-Head-Detector

Code for FCHD - A fast and accurate head detector

GCNet

GCNet implementation based on mmdetection

gpnn

Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

Hierarchical-Bilinear-Pooling

Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.

I3D-Feature-Extractor

I3D feature extractor

lcgn

Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

mmaction

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

NTS-Net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

paper

Paper Check List

part_bilinear_reid

Code for ECCV2018 paper: Part-Aligned Bilinear Representations for Person Re-Identification

Pytorch_C3D_Feature_Extractor

Pytorch C3D feature extractor

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

temporal-shift-module

TSM: Temporal Shift Module for Efficient Video Understanding.

Temporally-language-grounding

A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

vqa-project

Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering