Jiemin Fang (方傑民)
Email: 
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I am a senior researcher at Huawei, working closely with Prof. Qi Tian, Dr. Lingxi Xie and Dr. Xiaopeng Zhang.
I received my PhD degree from the School of Electronic Information and Communications (EIC) at Huazhong University of Science and Technology (HUST) in 2023, supervised by Prof. Wenyu Liu and Prof. Xinggang Wang. I obtained the B.E. degree from EIC, HUST in 2018.
My current research mainly focuses on topics of 3D computer vision, especially neural rendering. My research interests also include neural architecture design/search and AutoML.
If you are interested in intern/full-time positions at Huawei or any other collaboration with me, welcome to contact me via email.
News
- Oct. 2023 - Fast High Dynamic Range Radiance Fields for Dynamic Scenes is accepted to 3DV 2024!
- Sep. 2023 - SA3D: Segment Anything in 3D with NeRFs is accepted to NeurIPS 2023!
- Mar. 2023 - ResizeMix is accepted by Computational Visual Media.
- Nov. 2022 - I lead the team to win the Gold Award in The 8th China International College Students’ “Internet+” Innovation and Entrepreneurship Competition (ranking the 1st in the group of the industrial proposition track).
- Aug. 2022 - TiNeuVox is conditionally accepted to ACM SIGGRAPH Asia 2022.
- Jul. 2022 - I am honored to be awarded the HUST Academic Star (华中科技大学“学术新星”)!
- Apr. 2022 - Our EfficientPose is chosen for the CVMJ 2021 best paper award.
- Mar. 2022 - Two papers are accepted by CVPR 2022.
- Jan. 2022 - BINGO is accepted by ICLR 2022.
- Jul. 2021 - One paper is accepted by ICCV 2021.
- Dec. 2020 - "FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search" is published in IEEE TPAMI.
- Nov. 2020 - I have released a PyTorch toolkit dali-pytorch for accelerating ImageNet training with NVIDIA DALI. It improves the training speed dramatically with maintaining high performance.
Publications
*equal contributions. ‡project lead.
Preprints
GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
Jiemin Fang*, Junjie Wang*, Xiaopeng Zhang, Lingxi Xie, Qi Tian
arxiv:2311.16037, 2023
PDF | 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‡
arxiv:2310.08529, 2023
PDF | Code | Project Page | BibTeX
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‡
arxiv:2310.08528, 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
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
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
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
Internships
- Jan. 2021 - Jun. 2023, Huawei Cloud in Shanghai working with Prof. Qi Tian, Dr. Lingxi Xie and Dr. Xiaopeng Zhang.
- Aug. 2018 - Nov. 2020, Horizon Robotics in Beijing working with Dr. Qian Zhang and Dr. Yuan Li.
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 Asia 2023
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2022, 2021
- IEEE/CVF International Conference on Computer Vision (ICCV) 2023, 2021
- Neural Information Processing Systems (NeurIPS) 2023, 2022, 2021
- International Conference on Learning Representations (ICLR) 2024, 2023, 2022
- International Conference on Machine Learning (ICML) 2023, 2022, 2021
- European Conference on Computer Vision (ECCV) 2022
- AAAI Conference on Artificial Intelligence (AAAI) 2024, 2023, 2021
Competition Experience
- I led the team to win the Gold Award in The 8th China International College Students’ “Internet+” Innovation and Entrepreneurship Competition (第八届中国国际“互联网+”大学生创新创业大赛) (ranking the 1st in the group of the industrial proposition track) in 2022.
- I ever participated in RoboMaster Robotics Competition. I worked on embedded development and achieved the national second prize in 2017. Then in 2018, I led the team to win the national second prize.
Awards
- 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