Yin, Baocai

31 publications

CVPR 2025 Exploring Historical Information for RGBE Visual Tracking with Mamba Chuanyu Sun, Jiqing Zhang, Yang Wang, Huilin Ge, Qianchen Xia, Baocai Yin, Xin Yang

AAAI 2025 HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin

AAAI 2025 MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts Dongpan Chen, Dehui Kong, Jinghua Li, Baocai Yin

AAAI 2025 RFL: Simplifying Chemical Structure Recognition with Ring-Free Language Qikai Chang, Mingjun Chen, Changpeng Pi, Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Jun Du, Baocai Yin, Jinshui Hu

CVPR 2025 Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning Huajie Jiang, Zhengxian Li, Xiaohan Yu, Yongli Hu, Baocai Yin, Jian Yang, Yuankai Qi

IJCAI 2024 1DFormer: A Transformer Architecture Learning 1d Landmark Representations for Facial Landmark Tracking Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu

ECCV 2024 Catastrophic Overfitting: A Potential Blessing in Disguise Mn Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin

AAAI 2024 Graph Neural Networks with Soft Association Between Topology and Attribute Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin

NeurIPS 2024 Large Language Models-Guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin

ECCV 2024 NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu

AAAI 2024 TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin

CVPR 2023 Center Focusing Network for Real-Time LiDAR Panoptic Segmentation Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, Baocai Yin

ICCV 2023 Fast Adversarial Training with Smooth Convergence Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin

CVPR 2023 Frame-Event Alignment and Fusion Network for High Frame Rate Tracking Jiqing Zhang, Yuanchen Wang, Wenxi Liu, Meng Li, Jinpeng Bai, Baocai Yin, Xin Yang

ICCV 2023 Referring Image Segmentation Using Text Supervision Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard Hancke, Rynson Lau

ICCV 2023 Single Depth-Image 3D Reflection Symmetry and Shape Prediction Zhaoxuan Zhang, Bo Dong, Tong Li, Felix Heide, Pieter Peers, Baocai Yin, Xin Yang

ICML 2022 A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin

CVPR 2022 Bi-Directional Object-Context Prioritization Learning for Saliency Ranking Xin Tian, Ke Xu, Xin Yang, Lin Du, Baocai Yin, Rynson W.H. Lau

NeurIPS 2022 Biologically Inspired Dynamic Thresholds for Spiking Neural Networks Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang

CVPR 2022 Spiking Transformers for Event-Based Single Object Tracking Jiqing Zhang, Bo Dong, Haiwei Zhang, Jianchuan Ding, Felix Heide, Baocai Yin, Xin Yang

AAAI 2021 Hierarchical Graph Convolution Network for Traffic Forecasting Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin

ICCV 2021 Object Tracking by Jointly Exploiting Frame and Event Domain Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong

IJCAI 2018 Active Object Reconstruction Using a Guided View Planner Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu

IJCAI 2018 Cascaded Low Rank and Sparse Representation on Grassmann Manifolds Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

AAAI 2018 Locality Preserving Projection Based on F-Norm Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

ICCV 2017 Learning Uncertain Convolutional Features for Accurate Saliency Detection Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Baocai Yin

CVPR 2017 Learning to Detect Salient Objects with Image-Level Supervision Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, Xiang Ruan

IJCAI 2017 Locality Preserving Projections for Grassmann Manifold Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin

CVPR 2016 Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin

AAAI 2016 Product Grassmann Manifold Representation and Its LRR Models Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CVPR 2016 TenSR: Multi-Dimensional Tensor Sparse Representation Na Qi, Yunhui Shi, Xiaoyan Sun, Baocai Yin