Kai Chen

@inproceedings{ji2024anah,
  title = {ANAH: Analytical Annotation of Hallucinations in Large Language Models},
  author = {Ji, Ziwei and Gu, Yuzhe and Zhang, Wenwei and Lyu, Chengqi and Lin, Dahua and Chen, Kai},
  booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2024},
}

@inproceedings{chen2024t,
  title = {T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step},
  author = {Chen, Zehui and Du, Weihua and Zhang, Wenwei and Liu, Kuikun and Liu, Jiangning and Zheng, Miao and Zhuo, Jingming and Zhang, Songyang and Lin, Dahua and Chen, Kai and Zhao, Feng},
  booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2024},
}

@inproceedings{chen2024agent,
  title = {Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models},
  author = {Chen, Zehui and Liu, Kuikun and Wang, Qiuchen and Zhang, Wenwei and Liu, Jiangning and Lin, Dahua and Chen, Kai and Zhao, Feng},
  booktitle = {Findings of the Association for Computational Linguistics: ACL},
  year = {2024},
}

@inproceedings{liu2024mathbench,
  title = {MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark},
  author = {Liu, Hongwei and Zheng, Zilong and Qiao, Yuxuan and Duan, Haodong and Fei, Zhiwei and Zhou, Fengzhe and Zhang, Wenwei and Zhang, Songyang and Lin, Dahua and Chen, Kai},
  booktitle = {Findings of the Association for Computational Linguistics: ACL},
  year = {2024},
}

@inproceedings{zhang2024pia,
  title = {PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models},
  author = {Zhang, Yiming and Xing, Zhening and Zeng, Yanhong and Fang, Youqing and Chen, Kai},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

@inproceedings{wang2023riformer,
  title = {RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer},
  author = {Wang, Jiahao and Zhang, Songyang and Liu, Yong and Wu, Taiqiang and Yang, Yujiu and Liu, Xihui and Chen, Kai and Luo, Ping and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
}

@inproceedings{zhang2023dense,
  title = {Dense Distinct Query for End-to-End Object Detection},
  author = {Zhang, Shilong and Wang, Jiaqi and Pang, Jiangmiao and Lyu, Chengqi and Zhang, Wenwei and Luo, Ping and Chen, Kai},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
}

@inproceedings{zhang2022group,
  title = {Group R-CNN for Weakly Semi-supervised Object Detection with Points},
  author = {Zhang, Shilong and Yu, Zhuoran and Liu, Liyang and Wang, Xinjiang and Zhou, Aojun and Chen, Kai},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {9417--9426},
  year = {2022},
}

@inproceedings{zhou2022mmrotate,
  title = {MMRotate: A Rotated Object Detection Benchmark Using PyTorch},
  author = {Zhou, Yue and Yang, Xue and Zhang, Gefan and Wang, Jiabao and Liu, Yanyi and Hou, Liping and Jiang, Xue and Liu, Xingzhao and Yan, Junchi and Lyu, Chengqi and Zhang, wenwei and Chen, Kai},
  booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
  year = {2022},
}

@article{zhang2021k,
  title = {K-Net: Towards Unified Image Segmentation},
  author = {Zhang, Wenwei and Pang, Jiangmiao and Chen, Kai and Loy, Chen Change},
  journal = {Advances in Neural Information Processing Systems (NeurIPS)},
  volume = {34},
  pages = {10326--10338},
  year = {2021},
}

@inproceedings{gong2021temporal,
  title = {Temporal ROI Align for Video Object Recognition},
  author = {Gong, Tao and Chen, Kai and Wang, Xinjiang and Chu, Qi and Zhu, Feng and Lin, Dahua and Yu, Nenghai and Feng, Huamin},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  volume = {35},
  number = {2},
  pages = {1442--1450},
  year = {2021},
}

@article{pang2021towards,
  title = {Towards Balanced Learning for Instance Recognition},
  author = {Pang, Jiangmiao and Chen, Kai and Li, Qi and Xu, Zhihai and Feng, Huajun and Shi, Jianping and Ouyang, Wanli and Lin, Dahua},
  journal = {International Journal of Computer Vision (IJCV)},
  volume = {129},
  number = {5},
  pages = {1376--1393},
  year = {2021},
  publisher = {Springer US},
}

@article{wang2021carafe++,
  title = {CARAFE++: Unified Content-Aware ReAssembly of FEatures},
  author = {Wang, Jiaqi and Chen, Kai and Xu, Rui and Liu, Ziwei and Loy, Chen Change and Lin, Dahua},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year = {2021},
  publisher = {IEEE},
}

@article{chen2020feature,
  title = {Feature Pyramid Grids},
  author = {Chen, Kai and Cao, Yuhang and Loy, Chen Change and Lin, Dahua and Feichtenhofer, Christoph},
  journal = {arXiv preprint arXiv:2004.03580},
  year = {2020},
}

@inproceedings{pang2019libra,
  title = {Libra R-CNN: Towards Balanced Learning for Object Detection},
  author = {Pang, Jiangmiao and Chen, Kai and Shi, Jianping and Feng, Huajun and Ouyang, Wanli and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {821--830},
  year = {2019},
}

@inproceedings{wang2019region,
  title = {Region Proposal by Guided Anchoring},
  author = {Wang, Jiaqi and Chen, Kai and Yang, Shuo and Change Loy, Chen and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {2965--2974},
  year = {2019},
}

@inproceedings{chen2019hybrid,
  title = {Hybrid task cascade for instance segmentation},
  author = {Chen, Kai and Pang, Jiangmiao and Wang, Jiaqi and Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and Liu, Ziwei and Shi, Jianping and Ouyang, Wanli and Loy, Chen Change and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {4974--4983},
  year = {2019},
}

@article{chen2019mmdetection,
  title = {MMDetection: Open MMLab Detection Toolbox and Benchmark},
  author = {Chen, Kai and Wang, Jiaqi and Pang, Jiangmiao and Cao, Yuhang and Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and Liu, Ziwei and Xu, Jiarui and Zhang, Zheng and Cheng, Dazhi and Zhu, Chenchen and Cheng, Tianheng and Zhao, Qijie and Li, Buyu and Lu, Xin and Zhu, Rui and Wu, Yue and Dai, Jifeng and Wang, Jingdong and Shi, Jianping and Ouyang, Wanli and Loy, Chen Change and Lin, Dahua},
  journal = {arXiv preprint arXiv:1906.07155},
  year = {2019},
}

@inproceedings{wang2019carafe,
  title = {CARAFE: Content-Aware ReAssembly of FEatures},
  author = {Wang, Jiaqi and Chen, Kai and Xu, Rui and Liu, Ziwei and Loy, Chen Change and Lin, Dahua},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
  year = {2019},
}

@inproceedings{cao2020prime,
  title = {Prime sample attention in object detection},
  author = {Cao, Yuhang and Chen, Kai and Loy, Chen Change and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {11583--11591},
  year = {2020},
}

@inproceedings{chen2018optimizing,
  title = {Optimizing Video Object Detection via a Scale-Time Lattice},
  author = {Chen, Kai and Wang, Jiaqi and Yang, Shuo and Zhang, Xingcheng and Xiong, Yuanjun and Loy, Chen Change and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {7814--7823},
  year = {2018},
}

@inproceedings{chen2017discover,
  title = {Discover and Learn New Objects from Documentaries},
  author = {Chen, Kai and Song, Hang and Loy, Chen Change and Lin, Dahua},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}