email: [email protected]
Dr. Ajad Chhatkuli
About Me:
I work in the field of Computer Vision and AI, primarily in 3D Vision and image/video understanding.
Before I joined INSAIT, I was a postdoc and then a lecturer at Computer Vision Lab, ETH Zurich, under Prof. Luc Van Gool. I led several industrial and EU Horizon 2020 projects, mainly on 3D Vision during my work at ETH Zurich. While my post-PhD work was mostly centred around industrial applications, my PhD was on the theory of non-rigid 3D geometry, for the task of 3D reconstruction from images. I completed my PhD under the supervision of Prof. Adrien Bartoli and Prof. Daniel Pizarro at University of Clermont-Auvergne, France. I have recently started to research in both the fundamental aspects and practical applications of Computer Vision.
2026
Ahmet Berke Gokmen, Ajad Chhatkuli, Luc Van Gool, Danda Pani Paudel
Inferring Compositional 4D Scenes without Ever Seeing One
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)
Deheng Zhang, Yuqian Fu, Runyi Yang, Yang Miao, Tianwen Qian, Xu Zheng, Guolei Sun, Ajad Chhatkuli, Xuanjing Huang, Yu-Gang Jiang, Luc Van Gool, Danda Pani Paudel
EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
In: The Fourteenth International Conference on Learning Representations (ICLR 2026)
2025
Mengya Liu, Siyuan Li, Ajad Chhatkuli, Prune Truong, Luc Van Gool, Federico Tombari
One2Any: One-Reference 6D Pose Estimation for Any Object
In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
2024
Giuliano Albanese; Arka Mitra; Jan-Nico Zaech; Yupeng Zhao; Ajad Chhatkuli; Luc Van Gool
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion
In: IEEE Workshop on Applications of Computer Vision (WACV 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)
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)
