Ting Liu

According to our database, Ting Liu authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning.

Hongxi Li, Tong Wang, Chengjing Wu, Tianbao Liu, Jiangtao Yao, Xiaochao Qu, Xinxiao Wu, Luoqi Liu, Ting Liu

CoRR, May, 2026

MiVE: Multiscale Vision-language features for reference-guided video Editing.

Tong Wang, Meng Zou, Chengjing Wu, Xiaochao Qu, Luoqi Liu, Xiaolin Hu, Ting Liu

CoRR, May, 2026

Draw Like an Artist: Complex Scene Generation With Diffusion Model via Composition, Painting, and Retouching.

Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2026

2025

AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment.

Yiheng Lin, Shifang Zhao, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

CoRR, May, 2025

DCEdit: Dual-Level Controlled Image Editing via Precisely Localized Semantics.

Yihan Hu, Jianing Peng, Yiheng Lin, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

CoRR, March, 2025

SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model.

Chongkai Yu, Ting Liu, Anqi Li, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing.

Tong Wang, Ting Liu, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting.

Jun Huang, Ting Liu, Yihang Wu, Xiaochao Qu, Luoqi Liu, Xiaolin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EVPGS: Enhanced View Prior Guidance for Splatting-based Extrapolated View Synthesis.

Jiahe Li, Feiyu Wang, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Ting Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks.

Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Memory Efficient Matting with Adaptive Token Routing.

Yiheng Lin, Yihan Hu, Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

SAM-REF: Rethinking Image-Prompt Synergy for Refinement in Segment Anything.

Chongkai Yu, Anqi Li, Xiaochao Qu, Luoqi Liu, Ting Liu

CoRR, 2024

Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?

Chen Liang, Qiang Guo, Xiaochao Qu, Luoqi Liu, Ting Liu

CoRR, 2024

2nd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation.

Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu

CoRR, 2024

Semantic Segmentation on VSPW Dataset through Masked Video Consistency.

Chen Liang, Qiang Guo, Chongkai Yu, Chengjing Wu, Ting Liu, Luoqi Liu

CoRR, 2024

3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation.

Ruipu Wu, Jifei Che, Han Li, Chengjing Wu, Ting Liu, Luoqi Liu

CoRR, 2024

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.

Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Sai S. Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

PVUW 2024 Challenge on Complex Video Understanding: Methods and Results.

Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2022

Adaptive Co-teaching for Unsupervised Monocular Depth Estimation.

Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection.

Yifan Wang, Wenbo Zhang, Lijun Wang, Ting Liu, Huchuan Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation.

Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022