Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Peilin Cai's Personal Website
Last Updated on Sept. 19th
Posts
Future Post
Published:
<!– — title: ‘Future Blog Post’ date: 2199-01-01 permalink: /posts/2012/08/blog-post-4/ tags:
- cool posts
- category1
category2
portfolio
publications
Secure On-Device Video OOD Detection Without Backpropagation
Published in International Conference on Computer Vision, 2025
SecDOOD: a secure cloud-device collaboration framework for efficient on-device OOD detection without requiring device-side backpropagation
Recommended citation: @article{li2025secure, title={Secure on-device video ood detection without backpropagation}, author={Li, Shawn and Cai, Peilin and Zhou, Yuxiao and Ni, Zhiyu and Liang, Renjie and Qin, You and Nian, Yi and Tu, Zhengzhong and Hu, Xiyang and Zhao, Yue}, journal={arXiv preprint arXiv:2503.06166}, year={2025} }
Download Paper
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
Published in arxiv preprint, 2025
PersonaConvBench: a large-scale benchmark for evaluating personalized reasoning and generation in multi-turn conversations with LLMs
Recommended citation: @article{li2025personalized, title={A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations}, author={Li, Li and Cai, Peilin and Rossi, Ryan A and Dernoncourt, Franck and Kveton, Branislav and Wu, Junda and Yu, Tong and Song, Linxin and Yang, Tiankai and Qin, Yuehan and others}, journal={arXiv preprint arXiv:2505.14106}, year={2025} }
Download Paper
The Earth Simulator: Street View World Modeling with 3D Gaussian Memory and Camera Control
Published in Submission, 2025
The Earth Simulator is a generative street-view world model that combines a 3D Gaussian spatial memory with camera-controlled video generation to synthesize long-horizon exploration videos from sparse pose-free images.
Recommended citation: @misc{cai2025earth, title={The Earth Simulator: Street View World Modeling with 3D Gaussian Memory and Camera Control}, author={Cai, Peilin and Yuan, Weiduo and He, Sicheng and Wu, Cho-Ying and Paz, David and Zhang, Hengyuan and Guo, Yuliang and Huang, Xinyu and Ren, Liu and Mao, Jiageng and Wang, Yue}, note={In submission}, year={2025} }
LAM: Language Articulated Object Modelers
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
LAM generates articulated 3D objects from text by coordinating LLM/VLM agents that design part hierarchies, write geometry and articulation code, debug failures, and refine results through visual feedback.
Recommended citation: @inproceedings{gao2026lam, title = {LAM: Language Articulated Object Modelers}, author = {Gao, Yipeng and Ge, Yunhao and Cai, Peilin and Seita, Daniel and Itti, Laurent}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026} }
Download Paper