Ming Li

Orcid: 0000-0002-1341-5585

Affiliations:
  • Nanjing University, School of Electronic Science and Engineering, China


According to our database1, Ming Li authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distribution-Aware Activity Boundary Representation for Online Detection of Action Start in Untrimmed Videos.
IEEE Signal Process. Lett., 2024

2023
The multi-learning for food analyses in computer vision: a survey.
Multim. Tools Appl., July, 2023

GazeFollowTR: A Method of Gaze Following with Reborn Mechanism.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., June, 2023

A Monocular Depth Estimation Method for Indoor-Outdoor Scenes Based on Vision Transformer.
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

2022
The study of stereo matching optimization based on multi-baseline trinocular model.
Multim. Tools Appl., 2022

Online human action detection and anticipation in videos: A survey.
Neurocomputing, 2022

MODE: Multi-view Omnidirectional Depth Estimation with 360$^\circ $ Cameras.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Omnidirectional stereo depth estimation based on spherical deep network.
Image Vis. Comput., 2021

A Review on Quantitative Analyzing Axonal Transport of Mitochondria.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Pyramid Feature Attention Network for Monocular Depth Prediction.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Dual Attention Feature Fusion Network for Monocular Depth Estimation.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion.
Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

Stereo Matching Optimization with Multi-baseline Trinocular Camera Model.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Using Temporal Correlation to Optimize Stereo Matching in Video Sequences.
IEICE Trans. Inf. Syst., 2019


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