Підписатись
Yuhao Dong
Yuhao Dong
Підтверджена електронна адреса в mails.tsinghua.edu.cn
Назва
Посилання
Посилання
Рік
Lmms-eval: Accelerating the development of large multimoal models
B Li, P Zhang, K Zhang, F Pu, X Du, Y Dong, H Liu, Y Zhang, G Zhang, ...
March, 2024
60*2024
Octopus: Embodied vision-language programmer from environmental feedback
J Yang, Y Dong, S Liu, B Li, Z Wang, H Tan, C Jiang, J Kang, Y Zhang, ...
European Conference on Computer Vision, 20-38, 2024
472024
3dtopia-xl: Scaling high-quality 3d asset generation via primitive diffusion
Z Chen, J Tang, Y Dong, Z Cao, F Hong, Y Lan, T Wang, H Xie, T Wu, ...
arXiv preprint arXiv:2409.12957, 2024
35*2024
Pointcept: A codebase for point cloud perception research
P Contributors
342023
Oryx mllm: On-demand spatial-temporal understanding at arbitrary resolution
Z Liu, Y Dong, Z Liu, W Hu, J Lu, Y Rao
arXiv preprint arXiv:2409.12961, 2024
312024
Complete-to-partial 4D distillation for self-supervised point cloud sequence representation learning
Z Zhang, Y Dong, Y Liu, L Yi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
222023
Chain-of-spot: Interactive reasoning improves large vision-language models
Z Liu, Y Dong, Y Rao, J Zhou, J Lu
arXiv preprint arXiv:2403.12966, 2024
142024
Coarse correspondence elicit 3d spacetime understanding in multimodal language model
B Liu, Y Dong, Y Wang, Y Rao, Y Tang, WC Ma, R Krishna
arXiv preprint arXiv:2408.00754, 2024
122024
Insight-v: Exploring long-chain visual reasoning with multimodal large language models
Y Dong, Z Liu, HL Sun, J Yang, W Hu, Y Rao, Z Liu
arXiv preprint arXiv:2411.14432, 2024
72024
Efficient inference of vision instruction-following models with elastic cache
Z Liu, B Liu, J Wang, Y Dong, G Chen, Y Rao, R Krishna, J Lu
European Conference on Computer Vision, 54-69, 2024
72024
Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment
Z Liu, Y Dong, J Wang, Z Liu, W Hu, J Lu, Y Rao
arXiv preprint arXiv:2502.04328, 2025
2025
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
S Xie, L Kong, Y Dong, C Sima, W Zhang, QA Chen, Z Liu, L Pan
arXiv preprint arXiv:2501.04003, 2025
2025
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