Jing Bai

According to our database, Jing Bai authored at least 32 papers between 2006 and 2026.

Collaborative distances:

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

2026

PVSTrans: Patch-view-shape progressive interaction transformer for 3D shape recognition.

Xiangyu Ma, Jing Bai, Zenghui Su, Yubin Wang

Inf. Process. Manag., 2026

2025

$\hbox {C}^2$DFL: cross-view cross-layer discriminative feature learning for fine-grained 3D shape classification.

Jinzhe Jiang, Jing Bai, Xiangyu Ma

Neural Comput. Appl., June, 2025

DLS-HCAN: Duplex Label Smoothing Based Hierarchical Context-Aware Network for Fine-Grained 3D Shape Classification.

Shaojin Bai, Liang Zheng, Jing Bai, Xiangyu Ma

IEEE Trans. Multim., 2025

SKD-SBSR: Structural Knowledge Distillation for Sketch-Based 3D Shape Retrieval.

Yawen Su, Wenjing Li, Jing Bai, Gan Lin

Knowl. Based Syst., 2025

MCNet: A multi-level consistency network for 3D point cloud self-supervised learning.

Hongshuo Liu, Jing Bai, Gan Lin

Inf. Fusion, 2025

Frontiers and developments of data augmentation for image: From unlearnable to learnable.

Gan Lin, Jinzhe Jiang, Jing Bai, Yawen Su, Zenghui Su, Hongshuo Liu

Inf. Fusion, 2025

MDT-Net: A Mask Decoder Tuning Strategy for CLIP-Based Zero-Shot 3D Classification.

Hao Yan, Jing Bai

Proceedings of the MultiMedia Modeling, 2025

DKD²L: Dual Knowledge Distillation Dynamic Learning for sketch-based 3D shape retrieval.

Yawen Su, Jing Bai, Gan Lin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FG3DFormer: Fine-Grained 3D Shape Classification Based on Vision Transformer.

Xiangyu Ma, Jing Bai, Jinzhe Jiang, Bin Peng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-View Text Enhancement for Parameter-Free Zero-Shot 3D Model Classification.

Shuting Xi, Jing Bai, Hu Zheng

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Glance and Gaze: Progressive end-to-end deep learning for fine-grained 3D shape classification.

Xiangyu Ma, Jing Bai, Jinzhe Jiang, Bin Peng

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024

V²MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition.

Liang Zheng, Jing Bai, Shaojin Bai, Wenjing Li, Bin Peng, Tao Zhou

Vis. Comput., September, 2024

DCNet: exploring fine-grained vision classification for 3D point clouds.

Rusong Wu, Jing Bai, Wenjing Li, Jinzhe Jiang

Vis. Comput., February, 2024

Corrigendum to "FGPNet: A weakly supervised fine-grained 3D point clouds classification network" [Pattern Recognition 139 (2023) 109509].

Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang

Pattern Recognit., 2024

D2GL: Dual-level dual-scale graph learning for sketch-based 3D shape retrieval.

Wenjing Li, Jing Bai, Hu Zheng

Pattern Recognit., 2024

2023

SPS-LCNN: A Significant Point Sampling-based Lightweight Convolutional Neural Network for point cloud processing.

Haojun Xu, Jing Bai

Appl. Soft Comput., September, 2023

PAGML: Precise Alignment Guided Metric Learning for sketch-based 3D shape retrieval.

Shaojin Bai, Jing Bai, Hao Xu, Jiwen Tuo, Min Liu

Image Vis. Comput., August, 2023

FGPNet: A weakly supervised fine-grained 3D point clouds classification network.

Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang

Pattern Recognit., July, 2023

HDA2L: Hierarchical Domain-Augmented Adaptive Learning for sketch-based 3D shape retrieval.

Shaojin Bai, Jing Bai

Knowl. Based Syst., March, 2023

2022

3D CAD model retrieval based on sketch and unsupervised variational autoencoder.

Feiwei Qin, Shi Qiu, Shuming Gao, Jing Bai

Adv. Eng. Informatics, 2022

2020

Feature-attention module for context-aware image-to-image translation.

Jing Bai, Ran Chen, Min Liu

Vis. Comput., 2020

2018

Ellipse Detection on Images Using Conic Power of Two Points.

Min Liu, Bodi Yuan, Jing Bai

Proceedings of the British Machine Vision Conference 2018, 2018

2017

WireFab: Mix-Dimensional Modeling and Fabrication for 3D Mesh Models.

Min Liu, Yunbo Zhang, Jing Bai, Yuanzhi Cao, Jeffrey M. Alperovich, Karthik Ramani

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Design pattern modeling and extraction for CAD models.

Jing Bai, Haonan Luo, Fei-wei Qin

Adv. Eng. Softw., 2016

An ontology-based semantic retrieval approach for heterogeneous 3D CAD models.

Fei-wei Qin, Shuming Gao, Xiaoling Yang, Ming Li, Jing Bai

Adv. Eng. Informatics, 2016

Deep Learning 3D Shape Surfaces Using Geometry Images.

Ayan Sinha, Jing Bai, Karthik Ramani

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Constructive generation of the medial axis for solid models.

Housheng Zhu, Yusheng Liu, Jing Bai, Xiaoping Ye

Comput. Aided Des., 2015

2012

A flexible assembly retrieval approach for model reuse.

Xiang Chen, Shuming Gao, Song Guo, Jing Bai

Comput. Aided Des., 2012

2010

Design reuse oriented partial retrieval of CAD models.

Jing Bai, Shuming Gao, Weihua Tang, Yusheng Liu, Song Guo

Comput. Aided Des., 2010

2009

Semantic-based partial retrieval of CAD models for design reuse.

Jing Bai, Shuming Gao, Weihua Tang, Yusheng Liu, Song Guo

Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, 2009

2007

Multi-mode Solid Model Retrieval Based on Partial Matching.

Jing Bai, Yusheng Liu, Shuming Gao

Proceedings of the 10th International Conference on Computer-Aided Design and Computer Graphics, 2007

2006

Multiresolutional similarity assessment and retrieval of solid models based on DBMS.

W. Gao, Shuming Gao, Yusheng Liu, Jing Bai, B. K. Hu

Comput. Aided Des., 2006