research
∙
06/09/2023
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
Neural Radiance Fields (NeRF) have shown impressive novel view synthesis...
share
research
∙
12/19/2022
Panoptic Lifting for 3D Scene Understanding with Neural Fields
We propose Panoptic Lifting, a novel approach for learning panoptic 3D v...
research
∙
12/02/2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
We introduce DiffRF, a novel approach for 3D radiance field synthesis ba...
research
∙
04/07/2022
AutoRF: Learning 3D Object Radiance Fields from Single View Observations
We introduce AutoRF - a new approach for learning neural 3D object repre...
research
∙
03/25/2021
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Unsupervised Domain Adaptation (UDA) refers to the problem of learning a...
research
∙
01/03/2021
Weakly Supervised Multi-Object Tracking and Segmentation
We introduce the problem of weakly supervised Multi-Object Tracking and ...
research
∙
12/14/2020
Improving Panoptic Segmentation at All Scales
Crop-based training strategies decouple training resolution from GPU mem...
research
∙
12/10/2020
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection
Pseudo-LiDAR-based methods for monocular 3D object detection have genera...
research
∙
12/23/2019
The Five Elements of Flow
In this work we propose five concrete steps to improve the performance o...
research
∙
12/17/2019
Single-Stage Monocular 3D Object Detection with Virtual Cameras
While expensive LiDAR and stereo camera rigs have enabled the developmen...
research
∙
12/04/2019
Learning Multi-Object Tracking and Segmentation from Automatic Annotations
In this work we contribute a novel pipeline to automatically generate tr...
research
∙
09/10/2019
Traffic Sign Detection and Classification around the World
Traffic signs are essential map features globally in the era of autonomo...
research
∙
05/29/2019
Disentangling Monocular 3D Object Detection
In this paper we propose an approach for monocular 3D object detection f...
research
∙
05/03/2019
Seamless Scene Segmentation
In this work we introduce a novel, CNN-based architecture that can be tr...
research
∙
09/27/2018
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
We propose a method for predicting the 3D shape of a deformable surface ...
research
∙
05/03/2018
Boosting Domain Adaptation by Discovering Latent Domains
Current Domain Adaptation (DA) methods based on deep architectures assum...
research
∙
12/07/2017
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
In this work we present In-Place Activated Batch Normalization (InPlace-...
research
∙
02/21/2017