Search Results for author:
Found 8 papers, 6 papers with code
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
More specifically, 3D structures of the whole frame are first represented by our global PPF signatures, from which structural descriptors are learned to help geometric descriptors sense the 3D world beyond local regions.
Panoptic 3D Scene Reconstruction From a Single RGB Image
Inspired by 2D panoptic segmentation, we propose to unify the tasks of geometric reconstruction, 3D semantic segmentation, and 3D instance segmentation into the task of panoptic 3D scene reconstruction - from a single RGB image, predicting the complete geometric reconstruction of the scene in the camera frustum of the image, along with semantic and instance segmentations.
Pri3D: Can 3D Priors Help 2D Representation Learning?
Inspired by these advances in geometric understanding, we aim to imbue image-based perception with representations learned under geometric constraints.
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
The rapid progress in 3D scene understanding has come with growing demand for data; however, collecting and annotating 3D scenes (e. g. point clouds) are notoriously hard.
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
In this work, we introduce RfD-Net that jointly detects and reconstructs dense object surfaces directly from raw point clouds.
Deep Face Forgery Detection
Rapid progress in deep learning is continuously making it easier and cheaper to generate video forgeries.
RevealNet: Seeing Behind Objects in RGB-D Scans
Thus, we introduce the task of semantic instance completion: from an incomplete RGB-D scan of a scene, we aim to detect the individual object instances and infer their complete object geometry.
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
We introduce 3D-SIS, a novel neural network architecture for 3D semantic instance segmentation in commodity RGB-D scans.
Ranked #3 on
3D Semantic Instance Segmentation
on ScanNetV2
