范肇心
范肇心博士现任北京航空航天大学人工智能学院助理研究员，研究方向包括多模态大模型、数字人和具身智能。研究成果发表于ICML、 CVPR、ICCV、ECCV、AAAI、IJCAI 、ICRA等国际顶级学术会议和期刊，累计发表近 40篇论文，主持和参与多项国家级及省市级科研项目，包括国家自然科学基金重点专项项目、北京市自然科学基金青年项目、博士后面上项目等。在产业应用方面，范博士参与创立多家科技创新企业，累计完成超千万美元融资，多项成果实现产业落地。目前担任中国仿真学会算力系统仿真... More+
.Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis:Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024，CCF A
.EmoTalk: Speech-driven emotional disentanglement for 3D face animation:International Conference on Computer Vision, ICCV 2023，CCF A
.D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field:International Conference on Computer Vision, ICCV 2023，CCF A
.SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces:ACM International Conference on Multimedia, ACM MM 2023，CCF A
.Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion:International Joint Conference on Artificial Intelligence, IJCAI 2023，CCF A
.Robust Single Image Reflection Removal Against Adversarial Attacks:IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2023，CCF A
.Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image:European Conference on Computer Vision, ECCV 2022，计算机视觉三大会
.SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition:36th AAAI Conference on Artificial Intelligence, AAAI 2022，CCF A
.Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview:ACM Computing Surveys, CSUR 2022，中科院1区
.GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition:International Conference on Robotics and Automation, ICRA 2023，CCF B