Uncertainty-aware 3D Edge Reconstruction with Difference of Gaussians
EdgeDoG uses DoG kernels and dual uncertainty to improve 3D edge reconstruction.
I am a third-year PhD student in Computer Science at Australian National University where I am advised by Miaomiao Liu, David Ahmedt Aristizabal and Chuong Nguyen. Before that, I received my Master of Philosophy degree supervised by Liang Zheng from Australian National University in 2023. My current research interest lies in 3D reconstruction and novel view synthesis.
EdgeDoG uses DoG kernels and dual uncertainty to improve 3D edge reconstruction.
Puzzles generates novel views and camera paths from a single image or video clips.
DCHM leverages superpixel GS to generate consistent point clouds for label-free multiview detection.
SOAF models room geometry and wall occlusions for sound propagation.
HashPoint accelerates the volume rendering by combining rasterization with ray tracing.
Cardboard human modeling aggregate multiview pedestrian features.
VFA, a voxelized 3D feature aggregation method, improves multiview detection accuracy by reducing occlusion and projection errors.
* denotes equal contribution.
Multiview detection algorithm design and synthetic dataset generation.
Enabling A Generalized Multimodal Occupancy Perception System on Humanoid.