Sicheng Li
@jasonlisicheng.bsky.social
PhD student@ZJU. Passionate about 3D vision and data compression. SteerNeRF, NeRFCodec.
Reposted by Sicheng Li
Unposed 3DGS Reconstruction with Probabilistic Procrustes Mapping
Chong Cheng, Zijian Wang, Sicheng Yu, Yu Hu, Nanjie Yao, Hao Wang
tl;dr: submap alignment->point cloud registration->robust Umeyama algorithm->global point cloud and camera trajectory
arxiv.org/abs/2507.18541
Chong Cheng, Zijian Wang, Sicheng Yu, Yu Hu, Nanjie Yao, Hao Wang
tl;dr: submap alignment->point cloud registration->robust Umeyama algorithm->global point cloud and camera trajectory
arxiv.org/abs/2507.18541
July 25, 2025 at 12:43 PM
Unposed 3DGS Reconstruction with Probabilistic Procrustes Mapping
Chong Cheng, Zijian Wang, Sicheng Yu, Yu Hu, Nanjie Yao, Hao Wang
tl;dr: submap alignment->point cloud registration->robust Umeyama algorithm->global point cloud and camera trajectory
arxiv.org/abs/2507.18541
Chong Cheng, Zijian Wang, Sicheng Yu, Yu Hu, Nanjie Yao, Hao Wang
tl;dr: submap alignment->point cloud registration->robust Umeyama algorithm->global point cloud and camera trajectory
arxiv.org/abs/2507.18541
Reposted by Sicheng Li
Our beginner's oriented accessible introduction to modern deep RL is now published in Foundations and Trends in Optimization. It is a great entry to the field if you want to jumpstart into RL!
@bernhard-jaeger.bsky.social
www.nowpublishers.com/article/Deta...
arxiv.org/abs/2312.08365
@bernhard-jaeger.bsky.social
www.nowpublishers.com/article/Deta...
arxiv.org/abs/2312.08365
February 22, 2025 at 7:32 PM
Our beginner's oriented accessible introduction to modern deep RL is now published in Foundations and Trends in Optimization. It is a great entry to the field if you want to jumpstart into RL!
@bernhard-jaeger.bsky.social
www.nowpublishers.com/article/Deta...
arxiv.org/abs/2312.08365
@bernhard-jaeger.bsky.social
www.nowpublishers.com/article/Deta...
arxiv.org/abs/2312.08365
Reposted by Sicheng Li
As many areas, science itself will be transformed by AI. We have now released a state-of-the-art survey on this emerging field. We discuss methods and tools for AI-enhanced search, ideation, experimentation, content generation and peer review.
arxiv.org/pdf/2502.05151
arxiv.org/pdf/2502.05151
February 10, 2025 at 8:09 AM
As many areas, science itself will be transformed by AI. We have now released a state-of-the-art survey on this emerging field. We discuss methods and tools for AI-enhanced search, ideation, experimentation, content generation and peer review.
arxiv.org/pdf/2502.05151
arxiv.org/pdf/2502.05151