About me
I am a researcher in computer vision and remote sensing, currently pursuing a PhD at the University of St. Gallen under the supervision of Damian Borth and the co-supervision of Michael Mommert and Ribana Roscher. My research focuses on building multimodal models for Earth observation, with an emphasis on implicit supervision and modality-aware learning. I previously worked as a Student Researcher at Google Research in Zürich and completed my M.Sc. and B.Sc. in Electrical and Electronic Engineering at EPFL. My work explores how physical, architectural, and modality-level signals can guide the learning in remote sensing systems.
News
2025
- One paper accepted at ICCV "Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation" [arxiv]
- One poster accepted at the Swiss Remote Sensing Days
- Gave a talk at the ESA-NASA International workshop on AI Foundation Model for Earth Observation on a Modality-Aware Pruning of Experts for Multi-Modal Remote Sensing Foundation Models
- Reviewer for CVPR, EarthVision, ICCV
2024
- Co-supervised a master thesis on "SAR-to-RGB Translation with Latent Diffusion for Earth Observation" [arxiv]
- One poster presented at the ETH AI + Environment summits (more info here) on "Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation"
- Gave a tutorial on "Data-Efficient Deep Learning for Earth Observation" at the 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
- Teacher Assistant for the Artificial Intelligence course - taught by Damian Borth.
- Teacher Assistant for the Computer Vision course - taught by Christos Sakaridis.
- Reviewer for CVPR, EarthVision, ECCV, WACV
2023
- Did an internship at Google Research (Health AI), on building a Conversational Assistant for Radiotherapy Patients using MedPalm
- Co-supervised a bachelor thesis on "Deep Clustering for Traffic Camera Vehicle Detection"
- One paper accepted at the CVPR EarthVision Workshop on "Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation" [paper]
- One paper accepted in the IEEE Transactions on Geoscience and Remote Sensing on "Physics-Guided Multitask Learning for Estimating Power Generation and CO2 Emissions from Satellite Imagery" [paper]
- One paper accepted in the IEEE International Geoscience and Remote Sensing Symposium on "Ben-ge: Extending BigEarthNet with Geographical and Environmental Data" [arxiv]
- Gave a tutorial on "Data-Efficient Deep Learning for Earth Observation" at the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
- One poster accepted at the Swiss Remote Sensing days.
- Co-hosted the Swiss Remote Sensing days at the University of St.Gallen.
- Teacher Assistant for the Computer Vision course - taught by Michael Mommert.
- Defended my PhD porposal on "multimodal representation learning for Earth Observation".
- Reviewer for WACV
2022
- Won the Best Student Paper Award for the paper "Self-supervised Vision Transformers for Land-cover Segmentation and Classification" at CVPR EarthVision Workshop
- One paper accepted at the CVPR EarthVision Workshop on "Self-supervised Vision Transformers for Land-cover Segmentation and Classification" [paper]
- One paper accepted in the IEEE International Geoscience and Remote Sensing Symposium on "A Multimodal Approach for Event Detection: Study of UK Lockdowns in the year 2020" [paper]
- One poster accepted at the Swiss Remote Sensing days.
- Gave a Talk at the AI4EO Symposium in the Technical University of Munich.
- Invited Talk at the Visual Intelligence seminar, The Arctic University of Norway on "Self-supervised Vision Transformers for Land-cover Segmentation and Classification".
2021
- One paper accepted at the Tackling Climate Change with Machine Learning workshop in NeurIPS, on "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" [paper]
- One abstract accepted at the ESA-ECMWF Workshop on "Estimating Industrial Greenhouse Gas Emissions from Satellite Imagery" [paper]
- Started my PhD in the AIML Lab in the University of St Gallen