← Search

Siyan Dong

7 accepted papers

2026

PROFusion: Robust and Accurate Dense Reconstruction Via Camera Pose Regression and Optimization

ICRA 2026poster

Real-time dense scene reconstruction during unstable camera motions is crucial for robotics, yet current RGB-D SLAM systems fail when cameras experience large viewpoint changes, fast motions, or sudden shaking. Classical optimization-based methods deliver high accuracy but fail with poor initializat…

2025

HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation

ICLR 2025poster

Policy learning through behavior cloning poses significant challenges, particularly when demonstration data is limited. In this work, we present HyPoGen, a novel optimization-biased hypernetwork for policy generation. The proposed hypernetwork learns to synthesize optimal policy parameters solely fr…

2025

Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization

CVPR 2025poster

Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera poses have gained popularity due to their fast inference capabilities. However, existing methods struggle to either genera…

2025

SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos

CVPR 2025highlight

In this paper, we introduce SLAM3R, a novel and effective system for real-time, high-quality, dense 3D reconstruction using RGB videos. SLAM3R provides an end-to-end solution by seamlessly integrating local 3D reconstruction and global coordinate registration through feed-forward neural networks. Gi…

2022

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

CVPR 2022poster

We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position estimation to enable more efficient robot movements. Previous approaches either choose the frontier as the goal position via a m…

Cited by 34PDFScholar
2022

Towards Accurate Active Camera Localization

ECCV 2022poster

"In this work, we tackle the problem of active camera localization, which controls the camera movements actively to achieve an accurate camera pose. The past solutions are mostly based on Markov Localization, which reduces the position-wise camera uncertainty for localization. These approaches local…

2021

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

CVPR 2021poster

Localizing the camera in a known indoor environment is a key building block for scene mapping, robot navigation, AR, etc. Recent advances estimate the camera pose via optimization over the 2D/3D-3D correspondences established between the coordinates in 2D/3D camera space and 3D world space. Such a m…

Cited by 32PDFcodeScholar