Search Results for author: Lei Jin

Found 13 papers, 2 papers with code

Learning Quality-aware Representation for Multi-person Pose Regression

no code implementations4 Jan 2022 Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang

Off-the-shelf single-stage multi-person pose regression methods generally leverage the instance score (i. e., confidence of the instance localization) to indicate the pose quality for selecting the pose candidates.

The 2nd Anti-UAV Workshop & Challenge: Methods and Results

no code implementations23 Aug 2021 Jian Zhao, Gang Wang, Jianan Li, Lei Jin, Nana Fan, Min Wang, Xiaojuan Wang, Ting Yong, Yafeng Deng, Yandong Guo, Shiming Ge, Guodong Guo

The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking.

Object Tracking

Mean dimension of product spaces: a fundamental formula

no code implementations20 Feb 2021 Lei Jin, Yixiao Qiao

However, there is still one longstanding problem which remains open in this direction, asking if there exists a continuous action of $G$ on some compact metrizable space $X$ such that $\mathrm{mdim}(X\times X, G)<2\cdot\mathrm{mdim}(X, G)$.

Dynamical Systems

The Hilbert cube contains a minimal subshift of full mean dimension

no code implementations20 Feb 2021 Lei Jin, Yixiao Qiao

We construct a minimal dynamical system of mean dimension equal to $1$, which can be embedded in the shift action on the Hilbert cube $[0, 1]^\mathbb{Z}$.

Dynamical Systems

Mean dimension and a non-embeddable example for amenable group actions

no code implementations5 Jan 2021 Lei Jin, Kyewon Koh Park, Yixiao Qiao

For every infinite (countable discrete) amenable group $G$ and every positive integer $d$ we construct a minimal $G$-action of mean dimension $d/2$ which cannot be embedded in the full $G$-shift on $([0, 1]^d)^G$.

Dynamical Systems

P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

1 code implementation15 Jul 2020 Zehao Yu, Lei Jin, Shenghua Gao

Furthermore, because those textureless regions in indoor scenes (e. g., wall, floor, roof, \etc) usually correspond to planar regions, we propose to leverage superpixels as a plane prior.

Depth Estimation Superpixels

Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery

no code implementations CVPR 2020 Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao

Motivated by the correlation between the depth and the geometric structure of a 360 indoor image, we propose a novel learning-based depth estimation framework that leverages the geometric structure of a scene to conduct depth estimation.

Depth Estimation

Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos

no code implementations22 Aug 2019 Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu

Accurate classification of embryo early development stages can provide embryologists valuable information for assessing the embryo quality, and hence is critical to the success of IVF.

Frame General Classification

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