2.9k citations · 6k across the 40 of their papers we have counts for
54 papers
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Alexey Nekrasov, Jonas Schult, Or Litany +2
We present Mix3D, a data augmentation technique for segmenting large-scale 3D scenes. Since scene context helps reasoning about object semantics, current works focus on models with…
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
Christian Schmidt, Ali Athar, Sabarinath Mahadevan +1
Despite receiving significant attention from the research community, the task of segmenting and tracking objects in monocular videos still has much room for improvement. Existing w…
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Dan Jia, Bastian Leibe
In this preliminary work we attempt to apply submanifold sparse convolution to the task of 3D person detection. In particular, we present Person-MinkUNet, a single-stage 3D person…
STEP: Segmenting and Tracking Every Pixel
Mark Weber, Jun Xie, Maxwell Collins +10
The task of assigning semantic classes and track identities to every pixel in a video is called video panoptic segmentation. Our work is the first that targets this task in a real-…
From Points to Multi-Object 3D Reconstruction
Francis Engelmann, Konstantinos Rematas, Bastian Leibe +1
We propose a method to detect and reconstruct multiple 3D objects from a single RGB image. The key idea is to optimize for detection, alignment and shape jointly over all objects i…
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
Dan Jia, Mats Steinweg, Alexander Hermans +1
Deep learning is the essential building block of state-of-the-art person detectors in 2D range data. However, only a few annotated datasets are available for training and testing t…