KunpengLi1994

VSRN

PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"

PsTuts

PyTorch code for the CVPR'2020 paper "Screencast Tutorial Video Understanding"

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

collaborative-experts

Video embeddings for retrieval with natural language queries

dcsp_segmentation

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

GOTURN

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

Iterative-Visual-Reasoning.pytorch

Reimplementation for Iterative Visual Reasoning Beyond Convolutions(CVPR2018)，i've reimplemented it on pytorch according to [endernewton/iter-reason](https://github.com/endernewton/iter-reason).

KunpengLi1994.github.io

models

Models and examples built with TensorFlow

oicr

Codes for our CVPR2017 paper "Multiple Instance Detection Network with Online Instance Classifier Refinement".

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

RNAN

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

SCAN

PyTorch source code for "Stacked Cross Attention for Image-Text Matching"

Simple-does-it-weakly-supervised-instance-and-semantic-segmentation

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

st-gcn

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

vsepp

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"