Runpei Dong

Orcid: 0000-0002-1104-7897

According to our database1, Runpei Dong authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring Recurrent Long-Term Temporal Fusion for Multi-View 3D Perception.
IEEE Robotics Autom. Lett., July, 2024

Positional Prompt Tuning for Efficient 3D Representation Learning.
CoRR, 2024

DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.
CoRR, 2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.
CoRR, 2024

ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DreamLLM: Synergistic Multimodal Comprehension and Creation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
CORSD: Class-Oriented Relational Self Distillation.
CoRR, 2023

VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining.
Proceedings of the International Conference on Machine Learning, 2023

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CORSD: Class-Oriented Relational Self Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Region-aware Knowledge Distillation for Efficient Image-to-Image Translation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Contrastive Deep Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021


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