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06/09/2023
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
Neural Radiance Fields (NeRF) have shown impressive novel view synthesis...
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04/04/2023
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
Humans can orient themselves in their 3D environments using simple 2D ma...
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12/19/2022
Panoptic Lifting for 3D Scene Understanding with Neural Fields
We propose Panoptic Lifting, a novel approach for learning panoptic 3D v...
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12/02/2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
We introduce DiffRF, a novel approach for 3D radiance field synthesis ba...
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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...
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11/01/2021
Dense Prediction with Attentive Feature Aggregation
Aggregating information from features across different layers is an esse...
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01/03/2021
Weakly Supervised Multi-Object Tracking and Segmentation
We introduce the problem of weakly supervised Multi-Object Tracking and ...
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12/14/2020
Improving Panoptic Segmentation at All Scales
Crop-based training strategies decouple training resolution from GPU mem...
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12/10/2020
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection
Pseudo-LiDAR-based methods for monocular 3D object detection have genera...
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12/23/2019
The Five Elements of Flow
In this work we propose five concrete steps to improve the performance o...
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12/17/2019
Single-Stage Monocular 3D Object Detection with Virtual Cameras
While expensive LiDAR and stereo camera rigs have enabled the developmen...
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12/04/2019
Learning Multi-Object Tracking and Segmentation from Automatic Annotations
In this work we contribute a novel pipeline to automatically generate tr...
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05/29/2019
Disentangling Monocular 3D Object Detection
In this paper we propose an approach for monocular 3D object detection f...
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05/03/2019
Seamless Scene Segmentation
In this work we introduce a novel, CNN-based architecture that can be tr...
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12/07/2017
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
In this work we present In-Place Activated Batch Normalization (InPlace-...
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04/10/2017
Loss Max-Pooling for Semantic Image Segmentation
We introduce a novel loss max-pooling concept for handling imbalanced tr...
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03/03/2016
