79 citations · 406 across the 47 of their papers we have counts for
5 papers · 1 filter
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
Bin Tan, Nan Xue, Tianfu Wu +1
This paper studies the challenging two-view 3D reconstruction in a rigorous sparse-view configuration, which is suffering from insufficient correspondences in the input image pairs…
Level-SfM: Structure from Motion on Neural Level Set of Implicit Surfaces
Yuxi Xiao, Nan Xue, Tianfu Wu +1
This paper presents a neural incremental Structure-from-Motion (SfM) approach, Level-SfM, which estimates the camera poses and scene geometry from a set of uncalibrated images…
HoW-3D: Holistic 3D Wireframe Perception from a Single Image
Wenchao Ma, Bin Tan, Nan Xue +3
This paper studies the problem of holistic 3D wireframe perception (HoW-3D), a new task of perceiving both the visible 3D wireframes and the invisible ones from single-view 2D imag…
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
Ryan Grainger, Thomas Paniagua, Xi Song +3
Vision Transformers (ViTs) are built on the assumption of treating image patches as ``visual tokens" and learn patch-to-patch attention. The patch embedding based tokenizer has a s…
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
Bo Jiang, Hamid Krim, Tianfu Wu +1
We introduce in this paper a new statistical perspective, exploiting the Jaccard similarity metric, as a measure-based metric to effectively invoke non-linear features in the loss…