Publications

No-Reference Segmentation Annotation Quality Assessment
Zheng Lin, Zheng-Peng Duan, Xuying Zhang, Luojun Lin
IEEE International Conference on Multimedia and Expo (ICME), 2024
[CCF-B Conference, Acceptance Rate=0.7%, Oral, Best Paper Candidate]
[PDF] [Code] [BibTeX] [Official]
Slow-Fast Adaptation for Source-Free Object Detection
Luojun Lin, Qipeng Liu, Xiangwei Zheng, Zheng Lin#
IEEE International Conference on Multimedia and Expo (ICME), 2024
[CCF-B Conference, Acceptance Rate=5.3%, Oral]
[PDF] [Code] [BibTeX] [Official]
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
Xuying Zhang, Bo-Wen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[CCF-A Conference, Acceptance Rate=23.6%]
[PDF] [Code] [BibTeX] [Official]
Sequential Interactive Image Segmentation
Zheng Lin, Zhao Zhang, Ziyue Zhu, Deng-Ping Fan, Xia-Lei Liu
Computational Visual Media (CVMJ), 2023
[JCR-1 Journal, IF=17.3, 中国最具国际影响力学术期刊]
[PDF] [Code] [BibTeX] [Official] [中译版]
Co-Salient Object Detection With Co-Representation Purification
Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[CCF-A/SCI-1 Journal, IF=23.6]
[PDF] [Code] [BibTeX] [Official] [中译版]
FocusCut: Diving into a Focus View in Interactive Segmentation
Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[CCF-A Conference, Acceptance Rate=4.2%, Oral]
[PDF] [Code] [BibTeX] [Official] [中译版]
KnifeCut: Refining Thin Part Segmentation with Cutting Lines
Zheng Lin, Zheng-Peng Duan#, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng
ACM International Conference on Multimedia (ACMMM), 2022
[CCF-A Conference, Acceptance Rate=5.5%, Oral]
[PDF] [Code] [BibTeX] [Official] [中译版]
Multi-Mode Interactive Image Segmentation
Zheng Lin, Zhao Zhang, Ling-Hao Han, Shao-Ping Lu
ACM International Conference on Multimedia (ACMMM), 2022
[CCF-A Conference, Acceptance Rate=27.9%]
[PDF] [Code] [BibTeX] [Official] [中译版]
A Highly Efficient Model to Study the Semantics of Salient Object Detection
Ming-Ming Cheng, Shang-Hua Gao, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[CCF-A/SCI-1 Journal, IF=23.6]
[PDF] [Code] [BibTeX] [Official] [中译版]
Re-thinking Co-Salient Object Detection
Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[CCF-A/SCI-1 Journal, IF=23.6, ESI Highly Cited Paper (1%)]
[PDF] [Code] [BibTeX] [Official] [中译版]
Bilateral Attention Network for RGB-D Salient Object Detection
Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, and Deng-Ping Fan
IEEE Transactions on Image Processing (TIP), 2021
[CCF-A/SCI-1 Journal, IF=11.041, ESI Highly Cited Paper (1%)]
[PDF] [Code] [BibTeX] [Official]
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng
IEEE Transactions on Image Processing (TIP), 2021
[CCF-A/SCI-1 Journal, IF=11.041]
[PDF] [Code] [BibTeX] [Official] [中译版]
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
[CCF-B/SCI-1 Journal, IF=14.255, ESI Hot Paper (0.1%), ESI Highly Cited Paper (1%)]
[Top-10 Most Cited Paper in IEEE TNNLS 2020]
[PDF] [Code] [BibTeX] [Official] [中译版]
Interactive Image Segmentation with First Click Attention
Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[CCF-A Conference, Acceptance Rate=22.1%]
[PDF] [Code] [BibTeX] [Official] [中译版]
Taking a Deeper Look at Co-Salient Object Detection
Deng-Ping Fan*, Zheng Lin*, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[CCF-A Conference, Acceptance Rate=22.1%]
[PDF] [Code] [BibTeX] [Official] [中译版]