研究兴趣1：自动驾驶/智能驾驶/无人驾驶/自主智能/无人系统

   自动驾驶是一个典型的技术聚集体和应用辐射体。2013年以来一直从事自动驾驶相关研究，曾获全国冠军2项。

    主要研究问题包括：2D目标检测、2D目标分割、2D目标重要性预测；激光SLAM；车道线检测；3D目标检测、语义分割；3D目标轨迹预测；传统路径规划；智能体自主探索；多智能体路径规划等

研究兴趣2：具身智能/人机交互/人机共融/人机协同

   人工智能发展的长远目标是使机器具备接近人类、甚至某些方面超越人类的智能，未来社会是人与机器高度融合、协作、共生的社会。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、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。

     科研动态

•     [2025] 祝贺李**获硕士生国家奖学金。

•     [2025] 祝贺李**（研二）的论文被计算机视觉顶会 CVPR 2025接收！该论文提出联合目标检测与实例分割模型MI-DETR，获得SOTA性能。GitHub链接：https://github.com/CQU-ADHRI-Lab/MI-DETR

•     [2024] 祝贺贾**（研二）的论文被图像处理顶刊T-IP 2024接收

•     [2024] 祝贺陈**获硕士生国家奖学金。

•     [2024] 祝贺李**（研二）的论文被深度学习、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，获得SOTA性能。 GitHub链接：https://github.com/CQU-ADHRI-Lab/DI-MaskDINO

•     [2024] 祝贺陈**（研三）的论文被深度学习、机器学习顶会 NIPS 2024接收！

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

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

代表性论文

1. Zhixiong Nan, Xianghong Li, Tao Xiang, Jifeng Dai. MI-DETR: An Object Detection Model with Multi-Time Inquiries Mechanism. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A)

2. Zhixiong Nan, Leiyu Jia, and Bin Xiao. HEOI: Human Attention Prediction in Natural Daily Life with Fine-Grained Human-Environment-Object Interaction Model. IEEE Transactions on Image Processing(T-IP), 2024. (CCF-A)

3. 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)

4. 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)

5. 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)

6. 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-IP), 2021. (JCR 1区，中科院1区，CCF A)

7. 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)

8. 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. (CCF-A)

9. 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)

10. 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)

11. Zhixiong Nan†, Wanying Xu†, Zhe Yang, Fulin Luo, Tao Xiang*. A Lane Detection Model with Knowledge Guided Anchor Feature Enhancement Mechanism.Pattern Recognition(PR), 2026.

12. 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)

13. 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.(机器人顶会)

14. Jiahao_Xu, Sheng Huang, Xin Zhang, Zhixiong Nan, Jiajun Dong, Nankun Mu. MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A)

15. Boyu Chang, Qi Wang, Xi Guo, Zhixiong Nan, Yazhou Yao, Tianfei Zhou. AbductiveMLLM: Boosting Visual Abductive Reasoning within MLLMs. AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A, Oral)

16. Zijun Tan, Chuan Fu, Tan Guo, Zhixiong Nan, Pengzhan Zhou, Xinggan Peng, Fulin Luo. PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement. AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

17. 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)

18. 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)