Jinming Cao

According to our database, Jinming Cao authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improving Test-Time Efficiency in Source-Free Semantic Segmentation via Multi-Stage Self-Training.

Yifang Yin, Jinming Cao, Zhenguang Liu, Guanfeng Wang, Shili Xiang, Roger Zimmermann

ACM Trans. Multim. Comput. Commun. Appl., April, 2026

2025

ShapeMoiré: Channel-Wise Shape-Guided Network for Image Demoiréing.

Jinming Cao, Sicheng Shen, Qiu Zhou, Yifang Yin, Yangyan Li, Roger Zimmermann

ACM Trans. Multim. Comput. Commun. Appl., December, 2025

OpenAVS: Training-Free Open-Vocabulary Audio Visual Segmentation with Foundational Models.

Shengkai Chen, Yifang Yin, Jinming Cao, Shili Xiang, Zhenguang Liu, Roger Zimmermann

CoRR, May, 2025

Improving Back-Projection Accuracy for the Semantic Segmentation of Indoor Point Clouds With Fewer & Sparse Image Annotations.

Peng Jiang, Haochen Sun, Zhiyi Pan, Jinming Cao, Roger Zimmermann, Changhe Tu

IEEE Trans. Multim., 2025

BDA: Bi-Directional Attention for Zero-Shot Learning.

Junseok Lee, Jinming Cao, Yifang Yin, Jihie Kim, Roger Zimmermann, Seongsik Park

Comput. Vis. Media, 2025

Class Incremental Learning via Feature Space Calibration.

Jeonghoon Kim, Jinming Cao, Jihie Kim, Roger Zimmermann, Seongsik Park

Comput. Vis. Media, 2025

2024

Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation.

Sicheng Shen, Jinming Cao, Yifang Yin, Roger Zimmermann

CoRR, 2024

Paraelectric Doping Simultaneously Improves the Field Frequency Adaptability and Dielectric Properties of Ferroelectric Materials: A Phase-Field Study.

Zhi Wang, Jinming Cao, Zhonglei Liu, Yuhong Zhao

Comput. Mater. Continua, 2024

SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection.

Qiu Zhou, Jinming Cao, Hanchao Leng, Yifang Yin, Yu Kun, Roger Zimmermann

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-cohort validation study of a four-gene signature for risk stratification and treatment response prediction in hepatocellular carcinoma.

Cuicui Liu, Zhijun Xiao, Shenghong Wu, Zhen Yang, Guowen Ji, Jingjing Duan, Ting Zhou, Jinming Cao, Xiufeng Liu, Feng Xu

Comput. Biol. Medicine, December, 2023

2022

DO-Conv: Depthwise Over-Parameterized Convolutional Layer.

Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen, Changhe Tu

IEEE Trans. Image Process., 2022

2021

RGB×D: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation.

Jinming Cao, Hanchao Leng, Daniel Cohen-Or, Dani Lischinski, Ying Chen, Changhe Tu, Yangyan Li

Neurocomputing, 2021

APM: Adaptive permutation module for point cloud classification.

Yechao Wang, Jinming Cao, Yangyan Li, Changhe Tu

Comput. Graph., 2021

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation.

Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Effect of Temperature on Space Charge Distribution in Two Layers of Transformer Oil and Impregnated Pressboard Under DC Voltage.

Jinfeng Zhang, Minghe Chi, Qingguo Chen, Wenxin Sun, Jinming Cao

IEEE Access, 2020

Short-Term Passenger Flow Prediction of a Passageway in a Subway Station Using Time Space Correlations Between Multi Sites.

Dewei Li, Chen Zhang, Jinming Cao

IEEE Access, 2020

A Spatio-Temporal Structured LSTM Model for Short-Term Prediction of Origin-Destination Matrix in Rail Transit With Multisource Data.

Dewei Li, Jinming Cao, Ruoyi Li, Lifu Wu

IEEE Access, 2020

2018

DiDA: Disentangled Synthesis for Domain Adaptation.

Jinming Cao, Oren Katzir, Peng Jiang, Dani Lischinski, Daniel Cohen-Or, Changhe Tu, Yangyan Li

CoRR, 2018