My research focuses on 3D Computer Vision, emphasising scene representation and understanding through spatial intelligence derived from 3D/4D visual data using vision-language models. Additionally, I am also interested in applying computer vision to Robotics and Augmented Reality. Some research topics I am currently working are:
Dr. Danda Paudel
- Real-time mapping and understanding of complex dynamic scenes
- Robust spatial reasoning from multi-model and corrupted data
- Transfer learning from 2D data and textual sources to 4D understanding
- Vision-language models for task planning and Human-AI interaction
- Geometrically consistent and physically plausible Visual Generative models
Google Scholar: link
Academic carrier:
- Lecturer, senior researcher, and post-doctoral fellow at ETH Zurich (since 2016)
- Ph.D. in Computer Vision from University of Bourgogne, CNRS, France (2016)
- Erasmus Mundus M.Sc. in Computer Vision, University of Bourgogne, France (2012)
Recognitions:
- The Best Paper Award by IEEE Computer Society (CVPRW 2020)
- A Most Interesting Publication by DeepAI (CVPR 2019)
- Best of ICCV 2015 invitation by International Journal of Computer Vision (2016)
- Accepted with Travel Support for ICCV Doctoral Consortium, ICCV 2015, Chile
- Doctoral Research Scholarship by French National Research Agency (2012-15)
- Best Erasmus Master’s Thesis by PAL Robotics on Vibot Day, 2012, Spain
- Master Research Scholarship by Conseil régional de Bourgogne, France (2011-12)
- Won three engineering competitions during undergraduate study in India
- Nepal Aid Scholarship by the Government of India (2005)
