Runpei Dong
Runpei Dong
Other namesR. Dong, 董润沛
Xi'an Jiaotong University
Verified email at - Homepage
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NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators
Z Tan, H Cai, R Dong, K Ma
ACM/IEEE Annual International Symposium on Computer Architecture (ISCA …, 2021
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
L Zhang*, R Dong*, HS Tai, K Ma
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2022
Contrastive Deep Supervision
L Zhang, X Chen, J Zhang, R Dong, K Ma
European Conference on Computer Vision (ECCV), 2022, 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
R Dong, Z Qi, L Zhang, J Zhang, J Sun, Z Ge, L Yi, K Ma
International Conference on Learning Representations (ICLR), 2023, 2022
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation
L Zhang, X Chen, R Dong, K Ma
arXiv preprint arXiv:2205.12451, 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
R Dong, Z Tan, M Wu, L Zhang, K Ma
International Conference on Machine Learning (ICML), 2022, 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
SH Tan, R Dong, K Ma
The British Machine Vision Conference (BMVC), 2021, 2021
Exploring Recurrent Long-term Temporal Fusion for Multi-view 3D Perception
C Han, J Sun, Z Ge, J Yang, R Dong, H Zhou, W Mao, Y Peng, X Zhang
arXiv preprint arXiv:2303.05970, 2023
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP
J Zhang, R Dong, K Ma
arXiv preprint arXiv:2303.04748, 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Z Qi*, R Dong*, G Fan, Z Ge, X Zhang, K Ma, L Yi
arXiv preprint arXiv:2302.02318, 2023
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