kunpengli1994 Goto Github PK

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".

pstuts

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

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"

vsrn

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