26.08.2023

Tiny logo
Teaser image to ERC Starting Grant for Angela Dai

ERC Starting Grant for Angela Dai

Spatial 3D Semantic Understanding for Perception in the Wild

For her project entitled "Spatial 3D Semantic Understanding for Perception in the Wild" our PI Angela Dai has been awarded an ERC Starting Grant 2022 by the European Research Council (ERC).

Angela Dai's research focuses on attaining a 3D understanding of the world around us, capturing and constructing semantically-informed 3D models of real-world environments. This includes 3D reconstruction and semantic understanding from commodity RGB-D sensor data, leveraging generative 3D deep learning towards enabling understanding and interaction with 3D scenes for content creation and virtual or robotic agents.

Congrats from us!

26.08.2023


Subscribe to RSS News feed

Related

Link to Fabian Theis receives 2025 ISCB Innovator Award

01.08.2025

Fabian Theis Receives 2025 ISCB Innovator Award

Fabian Theis receives 2025 ISCB Innovator Award for advancing AI in biology and mentoring the next generation of scientists.

Link to Yusuf Sale receives IJAR Young Researcher Award

29.07.2025

Yusuf Sale Receives IJAR Young Researcher Award

MCML Junior Member Yusuf Sale received an IJAR Young Researcher Award at ISIPTA 2025 for his work.

Link to Barbara Plank awarded 2025 Imminent Research Grant for work on language data

29.07.2025

Barbara Plank Awarded 2025 Imminent Research Grant for Work on Language Data

Barbara Plank’s MaiNLP lab wins 2025 Imminent Research Grant for a project on language data with Peng and de Marneffe.

Link to Eyke Hüllermeier to Lead New DFG-Funded Research Training Group METEOR

22.07.2025

Eyke Hüllermeier to Lead New DFG-Funded Research Training Group METEOR

MCML PI Eyke Hüllermeier to lead new DFG-funded RTG METEOR, uniting ML and control theory to build robust, explainable AI systems.

Link to Outstanding Paper Award at ICML 2025 for MCML Researchers

18.07.2025

Outstanding Paper Award at ICML 2025 for MCML Researchers

MCML researchers win ICML 2025 Outstanding Paper Award for work on prediction and identifying the worst-off.