Optical Flow

RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation
Extracting motion information from videos with optical flow estimation is vital in multiple practical robot applications. Current …
Henrique Morimitsu, Xiaobin Zhu, Roberto M. Cesar-Jr., Xiangyang Ji, Xu-Cheng Yin
PDF Cite Code Video
RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation
ICRA 2024 paper
Our paper “RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation” has been accepted to the IEEE International Conference on Robotics and Automation (May 13-17, 2024, Yokohama, Japan).
Mar 7, 2024
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
Optical flow estimation is a challenging task consisting of predicting per-pixel motion vectors between images. Recent methods have …
Henrique Morimitsu, Xiaobin Zhu, Xiangyang Ji, Xu-Cheng Yin
PDF Cite Code Video DOI
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
AAAI 2024 paper
Our paper “Recurrent Partial Kernel Network for Efficient Optical Flow Estimation” has been accepted to The 38th Annual AAAI Conference on Artificial Intelligence (February 20-27, 2024, Vancouver, Canada).
Dec 14, 2023
DAISY GPU
An implementation of the DAISY descriptor using deep learning libraries (PyTorch and Tensorflow).
PTLFlow
PyTorch Lightning platform for training and testing state-of-the-art Optical Flow models.
SIFT-Flow GPU
An implementation of the SIFT-Flow descriptor using PyTorch.
A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations
This paper presents a novel framework for dense piecewise semantic reconstruction in dynamic scenes containing complex background and …
Yan Di, Henrique Morimitsu, Zhiqiang Lou, Xiangyang Ji
PDF Cite DOI
A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations
In this paper, we propose a novel and specially designed method for piecewise dense monocular depth estimation in dynamic scenes. We …
Yan Di, Henrique Morimitsu, Shan Gao, Xiangyang Ji
PDF Cite DOI
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations