周仲凯｜江苏理工学院｜学者主页

2026

R-TAFM: purely convolutional recurrent refinement for deployment-oriented monocular depth estimation

Zhongkai Zhou, Xin-Nan Fan, Peng-Fei Shi, Yuanxue Xin, Cong-Xuan Zhang, Yu Zhang

Journal of King Saud University: Computer and Information Sciences

DOI

2025

R-FGDepth: Towards foundation models for recurrent depth learning with frequency-Guided initialization and refinement

Zhaoxin Fan, Gen Li, Zhongkai Zhou

Pattern Recognition

DOI

2024

基于视觉SLAM的移动机器人定位与导航技术研究

周仲凯

《南京林业大学》

2024

CrackYOLO: towards efficient dam crack detection for underwater scenes

Peng-Fei Shi, Shen Shao, Xin-Nan Fan, Yuanxue Xin, Zhongkai Zhou, Pengfei Cao, Xin-Yu Li, Si-Si Zhu

Pattern Analysis and Applications

DOI

2024

Recurrent Multiscale Feature Modulation for Geometry Consistent Depth Learning

Zhongkai Zhou, Xin-Nan Fan, Peng-Fei Shi, Yuanxue Xin, Dongliang Duan, Liuqing Yang

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

R-LKDepth: Recurrent Depth Learning With Larger Kernel

Zhongkai Zhou, Xin-Nan Fan, Peng-Fei Shi, Yuanxue Xin, Xiaotian Wang

IEEE Signal Processing Letters

DOI

2024

Research on dense object detection methods in congested environments of urban streets and roads based on DCYOLO

Shuhai Jiang, Bowen Luo, Haoyu Jiang, Zhongkai Zhou, Shangjie Sun

Scientific Reports

DOI

2023

An Overview of Key SLAM Technologies for Underwater Scenes

Xiaotian Wang, Xin-Nan Fan, Peng-Fei Shi, Jian-Jun Ni, Zhongkai Zhou

Remote Sensing

DOI

2023

MCL-CrackNet: A Concrete Crack Segmentation Network Using Multilevel Contrastive Learning

Peng-Fei Shi, Shen Shao, Xin-Nan Fan, Zhongkai Zhou, Yuanxue Xin

IEEE Transactions on Instrumentation and Measurement

DOI

2023

LCIF-Net: Local criss-cross attention based optical flow method using multi-scale image features and feature pyramid

Zi-Ge Wang, Zhen Chen, Cong-Xuan Zhang, Zhongkai Zhou, Hao Chen

Signal processing. Image communication

DOI

2023

Local stereo matching with side window

Chao He, Ming Li, Cong-Xuan Zhang, Peilong Zhong, Zhongkai Zhou, Junjie Wu

Optik (Stuttgart)

DOI

2023

Loop Closure Detection Based on Compressed ConvNet Features in Dynamic Environments

Shuhai Jiang, Zhongkai Zhou, Shangjie Sun

Applied Sciences

DOI

2022

Self-Attention-Based Multiscale Feature Learning Optical Flow With Occlusion Feature Map Prediction

Cong-Xuan Zhang, Zhongkai Zhou, Zhen Chen, Wei-Ming Hu, Ming Li, Shaofeng Jiang

IEEE transactions on multimedia

DOI

2022

RAFM: Recurrent Atrous Feature Modulation for Accurate Monocular Depth Estimating

Xin-Nan Fan, Zhongkai Zhou, Peng-Fei Shi, Yuanxue Xin, Xuan Zhou

IEEE Signal Processing Letters

DOI

2021

R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating

Zhongkai Zhou, Xin-Nan Fan, Peng-Fei Shi, Yuanxue Xin

IEEE International Conference on Computer Vision

DOI

2020

深度学习光流计算技术研究进展

张聪炫，周仲凯，陈震，葛利跃，黎明，江少锋，陈昊

《电子学报》

2020

基于中智集的木材缺陷图像检测方法

周宇，潘世豪，刘伟嘉，于音什，周仲凯，刘军

《林业机械与木工设备》

DOI

2020

基于遮挡检测的多尺度自注意力光流计算技术研究

周仲凯

《南昌航空大学》

2019

基于RCDA的家具表面死节缺陷图像分割

周宇，周仲凯，于音什，刘伟嘉，刘军

《林业机械与木工设备》

DOI

2019

基于L1L0层分解模型的家具死节缺陷图像分割

周宇，程玉柱，周仲凯，于音什，刘伟嘉

《家具》

DOI

周仲凯

精选作品

期刊论文

R-TAFM: purely convolutional recurrent refinement for deployment-oriented monocular depth estimation

R-FGDepth: Towards foundation models for recurrent depth learning with frequency-Guided initialization and refinement

基于视觉SLAM的移动机器人定位与导航技术研究

CrackYOLO: towards efficient dam crack detection for underwater scenes

Recurrent Multiscale Feature Modulation for Geometry Consistent Depth Learning

R-LKDepth: Recurrent Depth Learning With Larger Kernel

Research on dense object detection methods in congested environments of urban streets and roads based on DCYOLO

An Overview of Key SLAM Technologies for Underwater Scenes

MCL-CrackNet: A Concrete Crack Segmentation Network Using Multilevel Contrastive Learning

LCIF-Net: Local criss-cross attention based optical flow method using multi-scale image features and feature pyramid

Local stereo matching with side window

Loop Closure Detection Based on Compressed ConvNet Features in Dynamic Environments

Self-Attention-Based Multiscale Feature Learning Optical Flow With Occlusion Feature Map Prediction

RAFM: Recurrent Atrous Feature Modulation for Accurate Monocular Depth Estimating

R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating

深度学习光流计算技术研究进展

基于中智集的木材缺陷图像检测方法

基于遮挡检测的多尺度自注意力光流计算技术研究

基于RCDA的家具表面死节缺陷图像分割

基于L1L0层分解模型的家具死节缺陷图像分割

研究方向