229 citations · 1k across the 84 of their papers we have counts for
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Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation
Adrian Röfer, Georg Bartels, Wolfram Burgard +2
Service robots in the future need to execute abstract instructions such as "fetch the milk from the fridge". To translate such instructions into actionable plans, robots require in…
Robust Vision Challenge 2020 -- 1st Place Report for Panoptic Segmentation
Rohit Mohan, Abhinav Valada
In this technical report, we present key details of our winning panoptic segmentation architecture EffPS_b1bs4_RVC. Our network is a lightweight version of our state-of-the-art Eff…
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning
Borna Bešić, Abhinav Valada
Dynamic objects have a significant impact on the robot's perception of the environment which degrades the performance of essential tasks such as localization and mapping. In this w…
MOPT: Multi-Object Panoptic Tracking
Juana Valeria Hurtado, Rohit Mohan, Wolfram Burgard +1
Comprehensive understanding of dynamic scenes is a critical prerequisite for intelligent robots to autonomously operate in their environment. Research in this domain, which encompa…
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps
Daniele Cattaneo, Domenico Giorgio Sorrenti, Abhinav Valada
Localization is a critically essential and crucial enabler of autonomous robots. While deep learning has made significant strides in many computer vision tasks, it is still yet to…
EfficientPS: Efficient Panoptic Segmentation
Rohit Mohan, Abhinav Valada
Understanding the scene in which an autonomous robot operates is critical for its competent functioning. Such scene comprehension necessitates recognizing instances of traffic part…