Search Results for author: Lei Jin

Found 23 papers, 8 papers with code

DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images

no code implementations8 Aug 2023 Xuechao Zou, Kai Li, Junliang Xing, Yu Zhang, Shiying Wang, Lei Jin, Pin Tao

Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis.

Cloud Removal Image Generation

Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System

1 code implementation27 Jun 2023 Xue-Feng Zhu, Tianyang Xu, Jian Zhao, Jia-Wei Liu, Kai Wang, Gang Wang, Jianan Li, Qiang Wang, Lei Jin, Zheng Zhu, Junliang Xing, Xiao-Jun Wu

Still, previous works have simplified such an anti-UAV task as a tracking problem, where the prior information of UAVs is always provided; such a scheme fails in real-world anti-UAV tasks (i. e. complex scenes, indeterminate-appear and -reappear UAVs, and real-time UAV surveillance).

Single-stage Multi-human Parsing via Point Sets and Center-based Offsets

1 code implementation22 Apr 2023 Jiaming Chu, Lei Jin, Junliang Xing, Jian Zhao

We instead present a high-performance Single-stage Multi-human Parsing (SMP) deep architecture that decouples the multi-human parsing problem into two fine-grained sub-problems, i. e., locating the human body and parts.

Multi-Human Parsing

Towards End-to-end Semi-supervised Learning for One-stage Object Detection

1 code implementation22 Feb 2023 Gen Luo, Yiyi Zhou, Lei Jin, Xiaoshuai Sun, Rongrong Ji

In addition to this challenge, we also reveal two key issues in one-stage SSOD, which are low-quality pseudo-labeling and multi-task optimization conflict, respectively.

object-detection Object Detection +2

RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension

no code implementations CVPR 2023 Lei Jin, Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Annan Shu, Rongrong Ji

Based on RefCLIP, we further propose the first model-agnostic weakly supervised training scheme for existing REC models, where RefCLIP acts as a mature teacher to generate pseudo-labels for teaching common REC models.

Referring Expression Referring Expression Comprehension +2

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query

3 code implementations15 Dec 2022 Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan

The existing end-to-end methods rely on dense representations to preserve the spatial detail and structure for precise keypoint localization.


AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression

1 code implementation8 Oct 2022 Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Kai Su, Lei Jin, Mei Song, Shuicheng Yan, Jian Zhao

With the proposed body representation, we further deliver a compact single-stage multi-person pose regression network, termed as AdaptivePose.

3D Multi-Person Pose Estimation Human Detection +2

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.


Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation

no code implementations CVPR 2022 Lei Jin, Chenyang Xu, Xiaojuan Wang, Yabo Xiao, Yandong Guo, Xuecheng Nie, Jian Zhao

The existing multi-person absolute 3D pose estimation methods are mainly based on two-stage paradigm, i. e., top-down or bottom-up, leading to redundant pipelines with high computation cost.

3D Pose Estimation Depth Estimation +1

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

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 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

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.

Monocular 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.

General Classification

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