Yang Liu

According to our database, Yang Liu authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object.

Zhe Shan, Yang Liu, Lei Zhou, Cheng Yan, Heng Wang, Xia Xie

CoRR, March, 2025

Masked Channel Modeling for Bootstrapping Visual Pre-training.

Yang Liu, Xinlong Wang, Muzhi Zhu, Yue Cao, Tiejun Huang, Chunhua Shen

Int. J. Comput. Vis., February, 2025

Dual-Modal Prototype Joint Learning for Compositional Zero-Shot Learning.

Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang

CoRR, January, 2025

SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories.

Muzhi Zhu, Yuzhuo Tian, Hao Chen, Chunluan Zhou, Qingpei Guo, Yang Liu, Ming Yang, Chunhua Shen

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

2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation.

Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Simple Image Segmentation Framework via In-Context Examples.

Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generative Active Learning for Long-tailed Instance Segmentation.

Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching.

Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data.

Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Attribute subspaces for zero-shot learning.

Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock

Pattern Recognit., December, 2023

Information bottleneck and selective noise supervision for zero-shot learning.

Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock

Mach. Learn., July, 2023

Generalized Zero-Shot Learning via Implicit Attribute Composition.

Lei Zhou, Yang Liu, Qiang Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Feature Prediction Diffusion Model for Video Anomaly Detection.

Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Prototype via Placeholder for Zero-shot Recognition.

Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.

Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock

Proceedings of the Computer Vision, 2022

2021

Relation-Aware Reasoning with Graph Convolutional Network.

Lei Zhou, Yang Liu, Xiao Bai, Xiang Wang, Chen Wang, Liang Zhang, Lin Gu

Proceedings of the Image and Graphics - 11th International Conference, 2021

Goal-Oriented Gaze Estimation for Zero-Shot Learning.

Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021