个人简介
段岳圻是清华大学电子工程系助理教授，博士生导师。研究方向为计算机视觉、模式识别。2014年和2019年在清华大学自动化系分别获得工学学士和博士学位，2019至2021年在斯坦福大学计算机系担任博士后研究员，合作导师为美国两院院士Leonidas J. Guibas教授。他在相关领域以第一作者身份发表国际顶级期刊、会议文章十余篇，包括TPAMI、TIP、CVPR、ECCV等，其中一篇TPAMI入选ESI高被引和热点论文。他担任ICME大会领域主席，并曾获得中国人工智能学会优秀博士论文等。
教育经历
2010.9-2014.7 清华大学 自动化 工学学士学位
2014.9-2019.7 清华大学 控制科学与工程 博士学位
工作经历
2019.8 - 2021.8 斯坦福大学计算机系 博士后研究员
Honors
Excellent Doctoral Dissertation of Chinese Association for Artificial Intelligence, 2020
Excellent Ph.D. Graduate of Beijing and Tsinghua University, 2019
Excellent Doctoral Dissertation of Tsinghua University, 2019
National Scholarship, Tsinghua University, 2017, 2018
Outstanding Reviewer Award of ICME, 2018
Outstanding Scholar, Department of Automation, Tsinghua University, 2017
Deng Feng Academic Scholarship, Tsinghua University, 2017-2018
Scholarship of Social Practice, Tsinghua University, 2016
Champion of Volleyball in John Ma Competition, Tsinghua University, 2016
Champions of Chess in John Ma Competition, Tsinghua University, 2010-2013
Champion of ABAC Chess Competition in Mallorca, Spain, 2011
近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Fangfu Liu, Chubin Zhang, Yu Zheng, and Yueqi Duan Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, accepted.
Muheng Li, Yueqi Duan, Jie Zhou, and Jiwen Lu Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, accepted.
Ziwei Wang, Han Xiao, Yueqi Duan, Jie Zhou and Jiwen Lu Learning Deep Binary Descriptors via Bitwise Interaction Mining. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, accepted.
An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, and Jie Zhou SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation. IEEE Transactions on Image Processing (TIP), vol. 31, pp. 4952-4965, 2022.
Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, and Jiwen Lu Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. European Conference on Computer Vision (ECCV), 2022, accepted.
Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, and Qi Tian HyperDet3D: Learning a Scene-conditioned 3D Object Detector. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5585-5594, 2022. (Oral).
Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, and Jiwen Lu Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19880-19889, 2022.
Suchen Wang, Yueqi Duan, Henghui Ding, Yap-Peng Tan, Kim-Hui Yap, and Junsong Yuan Learning Transferable Human-Object Interaction Detector with Natural Language Supervision. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 939-948, 2022.
Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, and Leonidas J. Guibas Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. International Conference on Learning Representations (ICLR), 2022, accepted.
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, and Leonidas J. Guibas Vector Neurons: A General Framework for SO(3)-Equivariant Networks. IEEE International Conference on Computer Vision (ICCV), pp. 12200-12209, 2021. (Oral).
Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, and Leonidas J. Guibas CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. IEEE International Conference on Computer Vision (ICCV), pp. 13209-13218, 2021. (Oral).
Ziyi Wu*, Yueqi Duan*, He Wang, Qingnan Fan, and Leonidas J. Guibas IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration. arXiv, 2021.
Yueqi Duan, Jiwen Lu, Wenzhao Zheng, and Jie Zhou Deep Adversarial Metric Learning. IEEE Transactions on Image Processing (TIP), vol. 29, pp. 2037-2051, 2020.
Yueqi Duan*, Haidong Zhu*, He Wang, Li Yi, Ram Nevatia, and Leonidas J. Guibas Curriculum DeepSDF. European Conference on Computer Vision (ECCV), pp. 51-67, 2020.
Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Graph-Based Social Relation Reasoning. European Conference on Computer Vision (ECCV), pp. 18-34, 2020.
Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou Learning Deep Binary Descriptor with Multi-Quantization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 8, pp. 1139-1153, 2019.
Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, and Qi Tian Structural Relational Reasoning of Point Clouds. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 949-958, 2019.
Yueqi Duan, Jiwen Lu, and Jie Zhou UniformFace: Learning Deep Equidistributed Representation for Face Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3415-3424, 2019.
Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou Deep Embedding Learning with Discriminative Sampling Policy. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4964-4973, 2019.
Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Context-Aware Local Binary Feature Learning for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 5, pp. 1139-1153, 2018.
Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Deep Localized Metric Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 10, pp. 2644-2656, 2018.
Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Topology-Preserving Structural Matching for Automatic Partial Face Recognition. IEEE Transactions on Information Forensics and Security (TIFS), vol. 13, no. 7, pp. 1823-1837, 2018.
Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou Deep Adversarial Metric Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2780-2789, 2018. (Spotlight).
Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, and Jie Zhou GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8270-8279, 2018.
Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, and Jie Zhou Deep Variational Metric Learning. European Conference on Computer Vision (ECCV), pp. 689-704, 2018.
Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Learning Rotation-Invariant Local Binary Descriptor. IEEE Transactions on Image Processing (TIP), vol. 26, no. 8, pp. 3636-3651, 2017.
Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou Learning Deep Binary Descriptor with Multi-Quantization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4857-4866, 2017.
Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Topology Preserving Graph Matching for Partial Face Recognition. IEEE International Conference on Multimedia and Expo (ICME), pp. 1494-1499, 2017. (Oral).
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