research
∙
04/23/2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
The ability to deploy robots that can operate safely in diverse environm...
share
research
∙
01/10/2023
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images
Self-driving vehicles rely on urban street maps for autonomous navigatio...
research
∙
10/19/2022
Learning to Discover and Detect Objects
We tackle the problem of novel class discovery, detection, and localizat...
research
∙
10/14/2022
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
Recent developments in monocular multi-object tracking have been very su...
research
∙
09/29/2022
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment
Direct methods have shown excellent performance in the applications of v...
research
∙
08/03/2022
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Most (3D) multi-object tracking methods rely on appearance-based cues fo...
research
∙
03/30/2022
Forecasting from LiDAR via Future Object Detection
Object detection and forecasting are fundamental components of embodied ...
research
∙
03/28/2022
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization
Natural language-based communication with mobile devices and home applia...
research
∙
03/24/2022
Is Geometry Enough for Matching in Visual Localization?
In this paper, we propose to go beyond the well-established approach to ...
research
∙
08/21/2021
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
Deep learning-based methods for video pedestrian detection and tracking ...
research
∙
08/06/2021
(Just) A Spoonful of Refinements Helps the Registration Error Go Down
We tackle data-driven 3D point cloud registration. Given point correspon...
research
∙
04/29/2021
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
Multi-object tracking (MOT) enables mobile robots to perform well-inform...
research
∙
02/24/2021
4D Panoptic LiDAR Segmentation
Temporal semantic scene understanding is critical for self-driving cars ...
research
∙
02/23/2021
STEP: Segmenting and Tracking Every Pixel
In this paper, we tackle video panoptic segmentation, a task that requir...
research
∙
10/15/2020
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
Standardized benchmarks have been crucial in pushing the performance of ...
research
∙
10/02/2020
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation
In this paper, we present Goal-GAN, an interpretable and end-to-end trai...
research
∙
09/16/2020
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Multi-Object Tracking (MOT) has been notoriously difficult to evaluate. ...
research
∙
08/26/2020
Making a Case for 3D Convolutions for Object Segmentation in Videos
The task of object segmentation in videos is usually accomplished by pro...
research
∙
03/18/2020
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
Existing methods for instance segmentation in videos typically involve m...
research
∙
10/10/2019
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
Methods tackling multi-object tracking need to estimate the number of ta...
research
∙
02/28/2019
Large-Scale Object Mining for Object Discovery from Unlabeled Video
This paper addresses the problem of object discovery from unlabeled driv...
research
∙
02/10/2019
MOTS: Multi-Object Tracking and Segmentation
This paper extends the popular task of multi-object tracking to multi-ob...
research
∙
01/26/2019
4D Generic Video Object Proposals
Many high-level video understanding methods require input in the form of...
research
∙
09/19/2018
Combined Image- and World-Space Tracking in Traffic Scenes
Tracking in urban street scenes plays a central role in autonomous syste...
research
∙
09/19/2018
Towards Large-Scale Video Video Object Mining
We propose to leverage a generic object tracker in order to perform obje...
research
∙
12/23/2017
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video
We explore object discovery and detector adaptation based on unlabeled v...
research
∙
12/21/2017
