![Niko SÜNDERHAUF | PostDoc Position | Dr | Queensland University of Technology, Brisbane | QUT | Australian Centre for Robotic Vision Niko SÜNDERHAUF | PostDoc Position | Dr | Queensland University of Technology, Brisbane | QUT | Australian Centre for Robotic Vision](https://www.researchgate.net/publication/363667083/figure/fig1/AS:11431281085156246@1663643678818/Qualitative-results-for-two-views-of-the-Room-and-Fern-scene-of-the-LLFF-dataset_Q320.jpg)
Niko SÜNDERHAUF | PostDoc Position | Dr | Queensland University of Technology, Brisbane | QUT | Australian Centre for Robotic Vision
Switchable constraints and incremental smoothing for online mitigation of non-line-of-sight and multipath effects
Niko Sünderhauf - Deputy Director (Research) ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management | Associate Professor, Queensland University of Technology | Chief Investigator, QUT Centre for Robotics -
Niko Sünderhauf - Deputy Director (Research) ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management | Associate Professor, Queensland University of Technology | Chief Investigator, QUT Centre for Robotics -
![The Robotic Vision Challenges | Benchmarking Scene Understanding, and Active & Continuous Learning for Robotic Vision.Powered by the Australian Centre for Robotic Vision. The Robotic Vision Challenges | Benchmarking Scene Understanding, and Active & Continuous Learning for Robotic Vision.Powered by the Australian Centre for Robotic Vision.](https://nikosuenderhauf.github.io/roboticvisionchallenges/assets/img/alex.jpg)
The Robotic Vision Challenges | Benchmarking Scene Understanding, and Active & Continuous Learning for Robotic Vision.Powered by the Australian Centre for Robotic Vision.
Niko Sünderhauf - Deputy Director (Research) ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management | Associate Professor, Queensland University of Technology | Chief Investigator, QUT Centre for Robotics -
![Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks | DeepAI Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks | DeepAI](https://images.deepai.org/publication-preview/where-are-the-keys-learning-object-centric-navigation-policies-on-semantic-maps-with-graph-convolutional-networks-page-1-medium.jpg)
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks | DeepAI
Niko Sünderhauf on Twitter: "Looking forward to working with @emesent and many other partners in this research hub as Deputy Director (Research) along hub Director @ian__manchester and CIs @dgdvision @feras_dayoub @petercorke59 and
![Niko SÜNDERHAUF | PostDoc Position | Dr | Queensland University of Technology, Brisbane | QUT | Australian Centre for Robotic Vision Niko SÜNDERHAUF | PostDoc Position | Dr | Queensland University of Technology, Brisbane | QUT | Australian Centre for Robotic Vision](https://www.researchgate.net/publication/363128651/figure/fig1/AS:11431281081866397@1661916549370/Overview-of-our-proposed-NIMGO-framework-Feature-maps-are-extracted-from-the-backbone-of_Q320.jpg)