Liu, Cheng-Lin

43 publications

CVPR 2025 DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning Xiao-Hui Li, Fei Yin, Cheng-Lin Liu

ICCV 2025 Federated Continual Instruction Tuning Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu

CVPR 2025 MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts Peijie Wang, Zhong-Zhi Li, Fei Yin, Dekang Ran, Cheng-Lin Liu

AAAI 2025 Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu

NeurIPS 2025 SolidGeo: Measuring Multimodal Spatial Math Reasoning in Solid Geometry Peijie Wang, Chao Yang, Zhong-Zhi Li, Fei Yin, Dekang Ran, Mi Tian, Zhilong Ji, Jinfeng Bai, Cheng-Lin Liu

CVPR 2024 Active Generalized Category Discovery Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu

NeurIPS 2024 Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu

NeurIPS 2024 MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu

ECCV 2024 PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu

CVPR 2024 RCL: Reliable Continual Learning for Unified Failure Detection Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang

WACV 2024 Sequential Transformer for End-to-End Video Text Detection Jun-Bo Zhang, Meng-Biao Zhao, Fei Yin, Cheng-Lin Liu

CVPR 2024 Unified Entropy Optimization for Open-Set Test-Time Adaptation Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu

ECCV 2024 WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models Xin-Jian Wu, Ruisong Zhang, Jie Qin, Shijie Ma, Cheng-Lin Liu

IJCAI 2023 A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu

CVPR 2023 OpenMix: Exploring Outlier Samples for Misclassification Detection Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

AAAI 2023 Social Relation Reasoning Based on Triangular Constraints Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu

ICCV 2023 Visual Traffic Knowledge Graph Generation from Scene Images Yunfei Guo, Fei Yin, Xiao-hui Li, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu

IJCAI 2022 Plane Geometry Diagram Parsing Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu

ECCV 2022 Rethinking Confidence Calibration for Failure Prediction Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

NeurIPS 2021 Class-Incremental Learning via Dual Augmentation Fei Zhu, Zhen Cheng, Xu-yao Zhang, Cheng-lin Liu

AAAI 2021 Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu

CVPR 2021 Prototype Augmentation and Self-Supervision for Incremental Learning Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu

AAAI 2021 Proxy Graph Matching with Proximal Matching Networks Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu

CVPR 2021 Semantic-Aware Video Text Detection Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu

AAAI 2019 Data-Distortion Guided Self-Distillation for Deep Neural Networks Ting-Bing Xu, Cheng-Lin Liu

AAAI 2018 Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters Tie-Qiang Wang, Cheng-Lin Liu

ECML-PKDD 2018 Image-to-Markup Generation via Paired Adversarial Learning Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu

IJCAI 2018 Multi-Task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu

ICCV 2017 Deep Direct Regression for Multi-Oriented Scene Text Detection Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu

IJCAI 2017 Diverse Neuron Type Selection for Convolutional Neural Networks Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang, Cheng-Lin Liu

AAAI 2016 Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu

ICCV 2015 Task-Driven Feature Pooling for Image Classification Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu

ECML-PKDD 2013 Fast kNN Graph Construction with Locality Sensitive Hashing Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu

MLJ 2013 Geometry Preserving Multi-Task Metric Learning Peipei Yang, Kaizhu Huang, Cheng-Lin Liu

ECML-PKDD 2012 Geometry Preserving Multi-Task Metric Learning Peipei Yang, Kaizhu Huang, Cheng-Lin Liu

CVPR 2011 Action Recognition by Dense Trajectories Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu

IJCAI 2011 Pattern Field Classification with Style Normalized Transformation Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu

CVPR 2011 Style Transfer Matrix Learning for Writer Adaptation Xu-Yao Zhang, Cheng-Lin Liu

AAAI 2010 Gaussian Process Latent Random Field Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu

UAI 2010 Robust Metric Learning by Smooth Optimization Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu

AAAI 2010 Transductive Learning on Adaptive Graphs Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou

ECML-PKDD 2009 Subspace Regularization: A New Semi-Supervised Learning Method Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu

CVPR 2006 Learning Boosted Asymmetric Classifiers for Object Detection Xinwen Hou, Cheng-Lin Liu, Tieniu Tan