BA-T: An Iterative Transformer for Two-View Bundle Adjustment
arXiv / Project Page / Code (coming soon)
An iterative Transformer that applies bundle-adjustment-style updates as a single lightweight, repeatable layer in token space.
News
- BA-T has been accepted to NeurIPS 2026!
- I started as a Research Scientist Intern at Meta, working on world models and robotics!
- DynaTok (Google SR project) has been accepted to ICML 2026!
- NOVA3R has been accepted to ICLR 2026!
- Back on Track has been selected as one of the best paper award candidates at ICCV 2025!
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- CoProU-VO received best paper award at GCPR 2025. Congrats to Jingchao and Oussema!
- I started as a student researcher at Google XR in Zurich, working on dynamic scene modeling!
- Back on Track has been accepted to ICCV 2025 (Oral)!
- AnyCam has been accepted to CVPR 2025!
- LEAP-VO was accepted to CVPR 2024!
- NeRF-SCR was accepted to ICRA 2024!
- I joined Technical University of Munich as an ELLIS PhD student!
Experiences
Meta Reality Labs Research Research Scientist Intern
Google XR Student Researcher
Microsoft Spatial AI Lab Master's Thesis
SenseTime Research Research Intern
Research
My research spans 3D/4D reconstruction & generation, world models, and embodied AI: learning how dynamic worlds look, move, and evolve, so that agents can predict and act in them.
DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds
Preprint / Project Page (under construction)
A token-based framework that fuses partial point-cloud sequences over time into complete, temporally coherent 4D geometry.
NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction
arXiv / Paper / Project Page / Code
A feed-forward transformer that builds a global latent representation to generate complete, amodal 3D structure from a set of unposed images.
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
arXiv / Paper / Project Page / Code
A method for consistent dynamic scene reconstruction via motion decoupling, bundle adjustment, and global refinement.
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
arXiv / Project Page / Code
An unsupervised visual odometry method that improves pose estimation in dynamic scenes.
AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos
arXiv / Paper / Project Page / Code
A method for learning camera poses and intrinsics from dynamic casual videos.
DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair
Dynamic radiance field reconstruction from only two images, enabled by object-level bundle adjustment.
LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
arXiv / Project Page / Code / Video
A robust visual odometry system leveraging temporal context with long-term point tracking to tackle occlusions and dynamic environments.
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization
A visual localization pipeline using rendered data from NeRF, uncertainty-guided novel view selection, and evidential scene coordinate regression.
Uncertainty-Driven Dense Two-View Structure from Motion
arXiv / Project Page / Video
An accurate and reliable pipeline for dense two-view SfM using weighted bundle adjustment with robust outlier filtering and learning-based confidence modeling.
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Webly supervised learning for semantic label confusion using visual-semantic graph with metadata-aware anchor selection and GNN-based label propagation.
Webly Supervised Image Classification with Self-Contained Confidence
Webly supervised learning for noisy label classification via sample-wise web label correction with model confidence and pseudo machine label.
Talks
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NOVA3R: From Pixel-Aligned Reconstruction to Non-Pixel-Aligned World
Academic Services
- Conference Reviewer: CVPR, ECCV, ICCV, ICRA, IROS, ICLR, ICML, NeurIPS
- Journal Reviewer: RA-L
Teaching
- Summer 2026Practical Course: Deep Learning for Spatial AITU Munich
- Winter 2025Seminar Course: 3D Vision Foundation ModelsTU Munich
- Summer 2025Practical Course: Deep Learning for Spatial AITU Munich
- Winter 2024Seminar Course: Visual-based 3D/4D ReconstructionTU Munich
- Summer 2024Practical Course: Geometric Scene UnderstandingTU Munich