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 on 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:
- Faculty at INSAIT, Sofia University (since 2023)
- 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:
- Area Chair at the 38th Annual AAAI Conference on Artificial Intelligence,2024
- A member of the European Laboratory for Learning and Intelligent Systems (ELLIS)
- 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)
Publications:
- Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Paudel.
A Unified and Interpretable Emotion Representation and Expression Generation.
In: Computer Vision and Pattern Recognition Conference (CVPR), 2024. - Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Paudel, Luc Van Gool, Radu Timofte.
Single-Model and Any-Modality for Video Object Tracking.
In: Computer Vision and Pattern Recognition Conference (CVPR), 2024. - Qi Ma, Danda Paudel, Ajad Chhatkuli, Luc Van Gool.
Continuous Pose for Monocular Cameras in Neural Implicit Representation.
In: Computer Vision and Pattern Recognition Conference (CVPR), 2024. - Zhicheng Zhang, Junyao Hu, Wentao Cheng, Danda Paudel, Jufeng Yang.
ExtDM: Dual Distribution Extrapolation Diffusion Model for Video Prediction.
In: Computer Vision and Pattern Recognition Conference (CVPR), 2024. - Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool.
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions.
In: the International Symposium on Mixed and Augmented Reality (ISMAR), 2023. - Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool.
Token-Consistent Dropout For Calibrated Vision Transformers.
In: International Conference on Image Processing (ICIP), 2023. - Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cedric Demonceaux, Radu Timofte, Luc Van Gool.
Source-free Depth for Object Pop-out.
In: International Conference on Computer Vision (ICCV), 2023. - Nikola Popovic, Danda Pani Paudel, Luc Van Gool.
Surface Normal Clustering for Implicit Representation of Manhattan Scenes
In: International Conference on Computer Vision (ICCV), 2023. - Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool.
Improving Online Lane Graph Extraction by Object-Lane Clustering.
In: International Conference on Computer Vision (ICCV), 2023. - Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool.
Deformable Neural Radiance Fields using RGB and Event Cameras.
In: International Conference on Computer Vision (ICCV), 2023.
