229 citations · 1k across the 84 of their papers we have counts for
10 papers · 1 filter
Contrastive Object Detection Using Knowledge Graph Embeddings
Christopher Lang, Alexander Braun, Abhinav Valada
Object recognition for the most part has been approached as a one-hot problem that treats classes to be discrete and unrelated. Each image region has to be assigned to one member o…
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
Borna Bešić, Nikhil Gosala, Daniele Cattaneo +1
Scene understanding is a pivotal task for autonomous vehicles to safely navigate in the environment. Recent advances in deep learning enable accurate semantic reconstruction of the…
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado +4
Panoptic scene understanding and tracking of dynamic agents are essential for robots and automated vehicles to navigate in urban environments. As LiDARs provide accurate illuminati…
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
Nikhil Gosala, Abhinav Valada
Bird's-Eye-View (BEV) maps have emerged as one of the most powerful representations for scene understanding due to their ability to provide rich spatial context while being easy to…
Multi-Perspective Anomaly Detection
Peter Jakob, Manav Madan, Tobias Schmid-Schirling +1
Anomaly detection is a critical problem in the manufacturing industry. In many applications, images of objects to be analyzed are captured from multiple perspectives which can be e…
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation
Juana Valeria Hurtado, Laura Londoño, Abhinav Valada
The exponentially increasing advances in robotics and machine learning are facilitating the transition of robots from being confined to controlled industrial spaces to performing n…
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
Loop closure detection is an essential component of Simultaneous Localization and Mapping (SLAM) systems, which reduces the drift accumulated over time. Over the years, several dee…
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge
Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada
Attributes of sound inherent to objects can provide valuable cues to learn rich representations for object detection and tracking. Furthermore, the co-occurrence of audiovisual eve…
EfficientLPS: Efficient LiDAR Panoptic Segmentation
Kshitij Sirohi, Rohit Mohan, Daniel Büscher +2
Panoptic segmentation of point clouds is a crucial task that enables autonomous vehicles to comprehend their vicinity using their highly accurate and reliable LiDAR sensors. Existi…
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Mobile manipulation tasks remain one of the critical challenges for the widespread adoption of autonomous robots in both service and industrial scenarios. While planning approaches…