Runpei Dong

Orcid: 0000-0002-1104-7897

According to our database1, Runpei Dong authored at least 28 papers between 2021 and 2026.

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Bibliography

2026
ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation.
CoRR, March, 2026

Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation.
CoRR, February, 2026

2025
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge.
CoRR, July, 2025

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation.
CoRR, February, 2025

Learning Getting-Up Policies for Real-World Humanoid Robots.
CoRR, February, 2025

Taming Teacher Forcing for Masked Autoregressive Video Generation.
CoRR, January, 2025

Positional Prompt Tuning for Efficient 3D Representation Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Perception in Reflection.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Taming Teacher Forcing for Masked Autoregressive Video Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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