We are headed to #ICRA 2026!
We will be showcasing two of our latest research breakthroughs at the International Conference on Robotics and Automation (ICRA) next week.
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1️⃣ D-CAT 😼: Decoupled Cross-modal Knowledge Transfer
📍 Track: Interactive Session 6 − Hall C (Poster Session)
📅 Date/Time: Thursday, 15:00-16:30, Paper ThI2I.59
🧑🔬 Authors: Leen Daher,* Zhaobo Wang, Malcolm Mielle
Our work on D-CAT solves a major real-world challenge: training a system with rich, multi-modal data (like video, IMU, and audio) but allowing it to operate using only a single sensor during inference.
By enabling cross-modal knowledge transfer, D-CAT reduces hardware redundancy and costs without sacrificing accuracy—even showing up to a 10% F1-score gain in certain scenarios!
Paper: https://arxiv.org/pdf/2509.09747
* Leen Daher is currently searching for a PhD/job in the EU, and will be presenting in person.
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2️⃣ Unpaired Multi-Modal Reconstruction 📸🔥
📍 Track: Workshop Paper - MM-SpatialAI Workshop
📅 Date/Time: June 1st
🧑🔬 Authors: Jean Cordonnier, Chenghao Xu, Olga Fink, Malcolm Mielle
We introduces a framework for independent RGB-Thermal Novel View Synthesis reconstruction. We’ve developed a framework combining VGGT, feature matching, and multi-modal 3DGS to accept decoupled RGB/TIR image sets, proving that misalignment between modalities doesn't have to compromise the quality of the reconstruction.
#ICRA2026 #Robotics #MachineLearning #ComputerVision #MultiModal #SensorFusion
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