研究兴趣1：自动驾驶

激光SLAM；车道线检测；2D目标检测/分割；3D场景语义分割；2D目标重要分析；3D目标轨迹预测；传统路径规划；自主探索建图；多智能体路径规划；

研究兴趣2：人机交互

注意力目标预测；意图目标预测；意图行为预测；

2013年以来一直从事自动驾驶相关研究，曾获全国冠军2项。

具体研究方向包括：

道路标线检测

2. 目标检测与识别

3. 图像分割

4. 轨迹预测

5. 路径规划

6. 激光&视觉SLAM

研究兴趣2：人机交互

如何使机器具备较高的智能水平，从而能自然和谐地与人进行交互，协助或者代替人类完成生产生活中各项任务是人类科技发展的长远目标。为了实现这一目标，首先需要研究如何使机器理解人类，具体理解人在看什么、干什么、想什么。

具体研究方向包括：

1. 第三视角注意力和意图预测

2. 第一视角注意力和意图预测

•     祝贺李**（研二）的论文被机器学习顶会 NIPS 2024接收！该论文提出联合目标检测与实例分割模型DI-MaskDINO，其性能超越 

      目标检测模型DINO、分割模型Mask2Former、联合检测与分割模型MaskDINO。GitHub链接正后公布，请大家关注！
  

•     祝贺陈**（研三）的论文被机器学习顶会 NIPS 2024接收！
  

•     祝贺向**（研二）的论文被一区期刊 T-IV 2023接收！
  

•     祝贺陈**（研一）的论文被计算机视觉顶会 ICCV 2023接收！
  

•     祝贺向**（研一）的论文被机器人顶会IROS 2023接收！
  

一作/通讯论文

[1] Zhixiong Nan, Xianghong Li, Tao Xiang, and Jifeng Dai. DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model. Neural Information Processing Systems(NeurIPS), 2024. (CCF-A)

[2] Zhixiong Nan, Yilong Chen, Tianfei Zhou, and Tao Xiang. On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance. Neural Information Processing Systems(NeurIPS), 2024. (CCF-A)

[3] Yilong Chen, Zhixiong Nan*, Tao Xiang. FBLNet: FeedBack Loop Networ for Driver Attention Prediction. IEEE/CVF International Conference on Computer Vision(ICCV), 2023. (CCF-A)

[4] Zhixiong Nan#, Yang Liu#, Nanning Zheng, Song-Chun Zhu. Recognizing unseen attribute-object pair with generative model. AAAI Conference on Artificial Intelligence(AAAI), 2019. (#共同一作) (CCF-A)

[5] Zhixiong Nan, Jingjing Jiang, Xiaofeng Gao, Sanping Zhou, Weiliang Zuo, Ping Wei, Nanning Zheng*. Predicting Task-driven Attention via Integrating Bottom-up Stimulus and Top-down Guidance. IEEE Transactions on Image Processing(T-TIP), 2021. (JCR 1区，中科院1区，CCF A)

[6] Zhixiong Nan, Tao Xiang. Third-Person View Attention Prediction in Natural Scenarios with Weak Information Dependency and Human-Scene Interaction Mechanism. IEEE Transactions on Circuits and Systems for Video Technology(T-CSVT), 2023. (JCR 1区，中科院1区，CCF B)

[7] Tao Xiang, Hongyan Pan, Zhixiong Nan*. Video Violence Rating: A Large-scale Public Database and A Multimodal Rating Model. IEEE Transactions on Multimedia (TMM), 2024. (JCR 1区，中科院1区，CCF B)

[8] Junhong Xiang†, Zhixiong Nan†∗, Zhe Song†, Jun Huang and Lingxi Li. Map-free Trajectory Prediction in Traffic with Multi-level Spatial-temporal Modeling. IEEE Transactions on Intelligent Vehicle(T-IV), 2023. (JCR 1区，中科院1区)

[9] Zhixiong Nan, Tianmin Shu, Ran Gong, Shu Wang, Ping Wei*, Song-Chun Zhu, Nanning Zheng. Learning to infer human attention in daily activities. Pattern Recognition(PR), 2020. (JCR 1区，中科院1区，CCF B)

[10] Zhixiong Nan, Jizhi Peng, Jingjing Jiang, Hui Chen, Ben Yang, Jingmin Xin, Nanning Zheng*. A Joint Object Detection and Semantic Segmentation Model with Cross-Attention and Inner-Attention Mechanisms. Neurocomputing, 2021. (JCR 1区，中科院2区，CCF C)

[11] Junhong Xiang†, Jingmin Zhang† and Zhixiong Nan*. A Fast and Map-Free Model for Trajectory Prediction in Traffics. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.(CCF-C,机器人顶会)

[12] Jizhi Peng#, Zhixiong Nan#, Linhai Xu, Jingmin Xin, Nanning Zheng. A deep model for joint object detection and semantic segmentation in traffic scenes. International Joint Conference on Neural Networks(IJCNN), 2020. (#共同一作) (CCF-C)

其他论文

[1] Fulin Luo, Yi Liu, Xiuwen Gong, Zhixiong Nan, Tan Guo. EMVCC: Enhanced Multi-View Contrastive Clustering for Hyperspectral Images. ACM Mulitimedia(ACM-MM), 2024. (CCF-A)

[2] Jingjing Jiang, Ziyi Liu, Yifan Liu, Zhixiong Nan, Nanning Zheng*. X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering. ACM Mulitimedia(ACM-MM), 2021. (CCF-A)

[3] Zongnan Ma, Fuchun Zhang*, Zhixiong Nan,Yao Ge. Intention action anticipation model with guide-feedback loop mechanism. Knowledge-Based Systems (KBS), 2024. (JCR1区, 中科院1区)

[4] Ben Yang, Xuetao Zhang, Feiping Nie, Badong Chen, Fei Wang, Zhixiong Nan, Nanning Zheng. ECCA: Efficient Correntropy-based Clustering Algorithm with Orthogonal Concept Factorization. IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), 2022. (JCR 1区，中科院1区，CCF B)

[5] Songyi Zhang, Zhiqiang Jian, Xiaodong Deng, Shitao Chen, Zhixiong Nan, Nanning Zheng. Hierarchical Motion Planning for Autonomous Driving in Large-Scale Complex Scenarios. IEEE Transactions on Intelligent Transportation Systems(T-ITS), 2021. (JCR 1区，中科院1区，CCF B)

[6] Jingjing Jiang, Zhixiong Nan, Hui Chen, Shitao Chen, Nanning Zheng*. Predicting Short-Term Next-Active-Object Through Visual Attention and Hand Position. Neurocomputing, 2021. (JCR 1区，中科院2区，CCF C)

[7] Zhiqiang Jian, Songyi Zhang, Shitao Chen*, Zhixiong Nan, Nanning Zheng. A Global-Local Coupling Two-Stage Path Planning Method for Mobile Robots. IEEE Robotics and Automation Letters(RAL), 2021. (JCR 1区，中科院2区)

[8] Ben Yang, Xuetao Zhang∗, Badong Chen, Feiping Nie, Zhiping Lin, Zhixiong Nan. Efficient correntropy-based multi-view clustering with anchor graph embedding. Neural Networks, 2021. (JCR 1区，中科院2区，CCF B)

[9] Xinrui Yan, Yuhao Huang, Shitao Chen, Zhixiong Nan, Jingmin Xin, Nanning Zheng*. DSP-Net: Dense-to-Sparse Proposal Generation Paradigm for 3D Object Detection on Point Cloud. International Joint Conference on Neural Networks(IJCNN), 2021. (CCF-C)