Biography
Runpei Dong is currently a second-year M.S. student in Computer Science at Xi’an Jiaotong University, supervised by Prof. Andrew C. Yao. He collaborates closely with Prof. Kaisheng Ma, and he is also working closely with Prof. Li Yi. Before that, he received his bachelor’s degree in Computer Science from Xidian University in 2021. His current research interests include self-supervised 2D, 3D, and multimodal representation learning like vision language.
- Representation Learning
- Multimodal Learning
- Vision Language
- Generative Modeling
- 3D Computer Vision
Master Candidate in Computer Science, 2021 - 2024
Xi'an Jiaotong University
Bachelor in Computer Science, 2017 - 2021
Xidian University
Recent News
- NEW [2023/04] I will be attending ICLR 2023 in person, see you in Rwanda!
- NEW [2023/04] One paper accepted to ICML 2023.
- NEW [2023/03] One paper accepted to CVPR 2023.
- NEW [2023/03] One paper accepted to ICASSP 2023.
- [2023/01] One paper accepted to ICLR 2023.
- [2022/09] I join Megvii (Foundation Model Group) as a research intern.
- [2022/06] One paper accepted to ECCV 2022 (Oral).
- [2021/12] One paper accepted to ICML 2022 (Spotlight).
- [2021/10] One paper accepted to BMVC 2021.
- [2021/06] One paper accepted to ISCA 2021.
Selected Publications
*: equal contribution, the full list can be found here or Google Scholar
| CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP |
| Exploring Recurrent Long-term Temporal Fusion for Multi-view 3D Perception |
| Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining |
| Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? |
| PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection |
| Contrastive Deep Supervision |
| Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks |
