The ability to deploy robots that can operate safely in diverse environm...
Self-driving vehicles rely on urban street maps for autonomous navigatio...
We tackle the problem of novel class discovery, detection, and localizat...
Recent developments in monocular multi-object tracking have been very
su...
Direct methods have shown excellent performance in the applications of v...
Most (3D) multi-object tracking methods rely on appearance-based cues fo...
Object detection and forecasting are fundamental components of embodied
...
Natural language-based communication with mobile devices and home applia...
In this paper, we propose to go beyond the well-established approach to
...
Deep learning-based methods for video pedestrian detection and tracking
...
We tackle data-driven 3D point cloud registration. Given point
correspon...
Multi-object tracking (MOT) enables mobile robots to perform well-inform...
Temporal semantic scene understanding is critical for self-driving cars ...
In this paper, we tackle video panoptic segmentation, a task that requir...
Standardized benchmarks have been crucial in pushing the performance of
...
In this paper, we present Goal-GAN, an interpretable and end-to-end trai...
Multi-Object Tracking (MOT) has been notoriously difficult to evaluate.
...
The task of object segmentation in videos is usually accomplished by
pro...
Existing methods for instance segmentation in videos typically involve
m...
Methods tackling multi-object tracking need to estimate the number of ta...
This paper addresses the problem of object discovery from unlabeled driv...
This paper extends the popular task of multi-object tracking to multi-ob...
Many high-level video understanding methods require input in the form of...
Tracking in urban street scenes plays a central role in autonomous syste...
We propose to leverage a generic object tracker in order to perform obje...
We explore object discovery and detector adaptation based on unlabeled v...
The most common paradigm for vision-based multi-object tracking is
track...