[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Pytorch version of SfmLearner from Tinghui Zhou et al.

Unifying Flow, Stereo and Depth Estimation

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching (CVPR 2022)

[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

Self-Supervised CNN-GCN Autoencoder

SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/

[WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

[ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes

This is the open source implementation of the CVPR2022 paper "Iterative Deep Homography Estimation"

Public facing notes page

吴恩达老师的机器学习课程个人笔记

📊 A simple command-line utility for querying and monitoring GPU status

Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

Code repository for our paper "Comprehensive Image Captioning via Scene Graph Decomposition" in ECCV 2020.

Content-Aware Unsupervised Deep Homography Estimation

Learning Optical Flow from a Few Matches (CVPR 2021)

ccks2020 NER competitions

Pytorch Implementation of "PoSNet: 4x video frame interpolation using position-specific flow"

Python-based optical flow toolkit for existing popular dataset

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

Unsupervised Flownet