Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Z Qiᐩ, R Dongᐩ, G Fan, Z Ge, X Zhang, K Ma, L Yi ICML 2023, 2023 | 83 | 2023 |
DreamLLM: Synergistic Multimodal Comprehension and Creation R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei, ... ICLR 2024 (Spotlight), 2024 | 80* | 2024 |
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 ICLR 2023, 2022 | 72 | 2022 |
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators Z Tan, H Cai, R Dong, K Ma ISCA 2021, 2021 | 47 | 2021 |
CLIP-FO3D: Learning Free Open-World 3D Scene Representations from 2D Dense CLIP J Zhang, R Dong, K Ma ICCV 2023 @ OpenSUN3D, 2023 | 44 | 2023 |
Exploring Recurrent Long-term Temporal Fusion for Multi-view 3D Perception C Han, J Yang, J Sun, Z Ge, R Dong, H Zhou, W Mao, Y Peng, X Zhang RA-L & IROS 2024 (Oral Presentation), 2024 | 43 | 2024 |
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection L Zhangᐩ, R Dongᐩ, HS Tai, K Ma CVPR 2023, 2023 | 36 | 2023 |
Contrastive Deep Supervision L Zhang, X Chen, J Zhang, R Dong, K Ma ECCV 2022 (Oral), 2022 | 36 | 2022 |
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning L Zhao, E Yu, Z Ge, J Yang, H Wei, H Zhou, J Sun, Y Peng, R Dong, ... IJCAI 2024 (Long Oral), 2023 | 34 | 2023 |
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Z Qi, R Dong**, S Zhang, H Geng, C Han, Z Ge, H Wang, L Yi, K Ma ECCV 2024, 2024 | 15 | 2024 |
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks R Dong, Z Tan, M Wu, L Zhang, K Ma ICML 2022 (Spotlight), 2021 | 12 | 2021 |
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation L Zhang, X Chen, R Dong, K Ma BMVC 2023, 2022 | 10 | 2022 |
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation Z Qi, M Yu, R Dong**, K Ma NeurIPS 2023, 2024 | 9 | 2024 |
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Y Peng, Y Cui, H Tang, Z Qi, R Dong**, J Bai, C Han, Z Ge, X Zhang, ... arXiv preprint arXiv:2406.16855, 2024 | 2 | 2024 |
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention SH Tan, R Dong, K Ma BMVC 2021, 2021 | 2 | 2021 |
Positional Prompt Tuning for Efficient 3D Representation Learning S Zhang, Z Qi, R Dong, X Bai, X Wei arXiv preprint arXiv:2408.11567, 2024 | | 2024 |
CORSD: Class-Oriented Relational Self Distillation M Yu, SH Tan, K Wu, R Dong, L Zhang, K Ma ICASSP 2023, 2023 | | 2023 |
Imitate Your Own Refinement: Knowledge Distillation Sheds Light on Efficient Image-to-Image Translation L Zhang, J Song, R Dong, X Chen, K Ding, K Ma | | |