Postdoc
Ajad Chhatkuli
Postdoctoral Researcher
Bio
email: [email protected]
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.
Publications
-
Inferring Compositional 4D Scenes without Ever Seeing One
2026 · IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)
-
EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
2026 · International Conference on Learning Representations (ICLR 2026)
-
One2Any: One-Reference 6D Pose Estimation for Any Object
2025 · IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
-
Neural Vector Fields for Implicit Surface Representation and Inference
2024 · International Journal of Computer Vision (IJCV 2024)
-
Self-supervised Shape Completion via Involution and Implicit Correspondences
2024 · European Conference on Computer Vision (ECCV 2024)
-
Continuous Pose for Monocular Cameras in Neural Implicit Representation
2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
-
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion
2024 · Winter Conference on Applications of Computer Vision Workshop (WACVW 2024)
-
Deformable Neural Radiance Fields using RGB and Event Cameras
2023 · International Conference on Computer Vision (ICCV 2023)