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Jiemin Fang (方杰民)

me I am a senior researcher and assistant chief expert at Huawei of the TopMinds program, leading a small group that mainly works on 3D/4D reconstruction and generation. My research interests also include neural rendering, representation learning, neural architecture design/search and AutoML.

I obtained my PhD and BE degree from the School of Electronic Information and Communications (EIC) at Huazhong University of Science and Technology (HUST) in 2023 and 2018 respectively, supervised by Prof. Wenyu Liu and Prof. Xinggang Wang.

If you are interested in intern/full-time positions of our group or any other collaboration with me, welcome to contact me via email.

Email | Google Scholar | GitHub | Twitter | DBLP

News

Publications

*equal contributions.   project lead.

Preprints

Segment Any 3D Gaussians
Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian
arxiv:2312.00860, 2023
PDF | Code | Project Page | BibTeX

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views
Yabo Chen*, Jiemin Fang*, Yuyang Huang, Taoran Yi, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian
arxiv:2312.04424, 2023
PDF | Code | Project Page | BibTeX

Generalizable Neural Voxels for Fast Human Radiance Fields
Taoran Yi*, Jiemin Fang*, Xinggang Wang, Wenyu Liu
arxiv:2303.15387, 2023
PDF | Code | Project Page | BibTeX

NeuSample: Neural Sample Field for Efficient View Synthesis
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian
arXiv:2111.15552, 2021
PDF | Code | Project Page | BibTeX

Conference Papers

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Guanjun Wu*, Taoran Yi*, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang
CVPR 2024
PDF | Code | Project Page | BibTeX

GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Taoran Yi, Jiemin Fang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, Xinggang Wang
CVPR 2024
PDF | Code | Project Page | BibTeX

GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
Jiemin Fang*, Junjie Wang*, Xiaopeng Zhang, Lingxi Xie, Qi Tian
CVPR 2024
PDF | Project Page | BibTeX

Segment Anything in 3D with NeRFs
Jiazhong Cen*, Zanwei Zhou*, Jiemin Fang, Wei Shen, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian
NeurIPS 2023
PDF | Code | Project Page | BibTeX

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Jiemin Fang*, Taoran Yi*, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian
ACM SIGGRAPH Asia 2022
ACM Paper | PDF | Code | Project Page | Video | BibTeX

Fast High Dynamic Range Radiance Fields for Dynamic Scenes
Guanjun Wu*, Taoran Yi*, Jiemin Fang, Wenyu Liu, Xinggang Wang
3DV 2024
PDF | Code | Project Page | Video | BibTeX

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian
CVPR 2022
CVF | PDF | Code | Video | BibTeX

Bag of Instances Aggregation Boosts Self-supervised Learning
Haohang Xu*, Jiemin Fang*, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian
ICLR 2022
PDF | Code | BibTeX

Densely Connected Search Space for More Flexible Neural Architecture Search
Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
CVPR 2020
PDF | Code | BibTeX

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang*, Yuzhu Sun*, Kangjian Peng*, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
ICLR 2020
PDF | Code | BibTeX

Temporally Efficient Vision Transformer for Video Instance Segmentation
Shusheng Yang, Xinggang Wang, Yu Li, Yuxin Fang, Jiemin Fang, Wenyu Liu, Xun Zhao, Ying Shan
CVPR 2022 (Oral)
PDF | Code | BibTeX

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu
NeurIPS 2021
PDF | Code | BibTeX

Hierarchical Aggregation for 3D Instance Segmentation
Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang
ICCV 2021
PDF | Code | BibTeX

Deep Multi-instance Learning with Dynamic Pooling
Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang
ACML 2018
PDF | BibTeX

Journal Papers

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang*, Yuzhu Sun*, Qian Zhang, Kangjian Peng, Yuan Li, Wenyu Liu, Xinggang Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
PDF | Code | BibTeX

EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang*, Yukang Chen*, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang
Science China Information Sciences (SCIS) 2021
PDF | Code | BibTeX

EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
Wenqiang Zhang*, Jiemin Fang*, Xinggang Wang, Wenyu Liu
Computational Visual Media (CVMJ) 2021 (Best Paper Award)
PDF | Code | BibTeX

ResizeMix: Mixing Data with Preserved Object Information and True Labels
Jie Qin*, Jiemin Fang*, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang
Computational Visual Media (CVMJ) 2023
PDF | BibTeX

Exploring Complicated Search Spaces with Interleaving-Free Sampling
Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024
PDF | BibTeX

TinyDet: accurately detecting small objects within 1 GFLOPs
Shaoyu Chen, Tianheng Cheng, Jiemin Fang, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
Science China Information Sciences (SCIS) 2023
PDF | Code | BibTeX

Efficient Task-specific Feature Re-fusion for More Accurate Object Detection and Instance Segmentation
Cheng Wang, Yuxin Fang, Jiemin Fang, Peng Guo, Rui Wu, He Huang, Xinggang Wang, Chang Huang, Wenyu Liu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023
PDF | BibTeX

Internships

Academic Services

Journal Reviewers

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)
  • IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
  • IEEE Transactions on Multimedia (IEEE TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)
  • Neural Networks (NN)
  • Science China Information Sciences (SCIS)
  • Image and Vision Computing
  • Machine Vision and Applications
  • Journal of Big Data

Conference Reviewers

  • ACM SIGGRAPH/SIGGRAPH Asia 2024, 2023
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 - 2021
  • IEEE/CVF International Conference on Computer Vision (ICCV) 2023, 2021
  • Neural Information Processing Systems (NeurIPS) 2024 - 2021
  • International Conference on Learning Representations (ICLR) 2024, 2023, 2022
  • International Conference on Machine Learning (ICML) 2024 - 2021
  • European Conference on Computer Vision (ECCV) 2024, 2022
  • AAAI Conference on Artificial Intelligence (AAAI) 2024, 2023, 2021

Competition Experience

Awards & Honors

  • Huawei TopMinds Program (华为“天才少年”计划), 2023
  • HUST Academic Star (华中科技大学“学术新星”), 2022
  • National Scholarship for PhD Student, 2021
  • National Scholarship for Master Student, 2020
  • National Scholarship for Undergraduate Student, 2017
Since Feb. 2021