Scholar
Lisa Weijler
Google Scholar ID: ko_GXScAAAAJ
Computer Vision Lab, TU Wien
Citations & Impact
Citations
96
H-index
6
i10-index
3
Publications
13
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields' accepted at NeurIPS 2025.
- Paper 'TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models' accepted at 3DV 2025.
- Paper 'Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds' accepted at 3DV 2025.
- Paper 'FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data' accepted at WACV 2024.
- Paper 'On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data' accepted at ICPR 2024.
- Won 3rd place in the Best-Poster-Awards at ICVSS 2025.
- Co-organized the WiML Social event at ICLR 2024.
Research Experience
- Conducting research in 3D Vision and has previous experience in the biomedical field.
Education
- Currently pursuing her PhD at the Computer Vision Lab, TU Wien, Austria, under the guidance of Asst. Prof. Pedro Hermosilla.
Background
- A PhD student in 3D Vision, advised by Pedro Hermosilla. Her research focuses on 3D scene understanding using point cloud representation and geometric deep learning. She previously worked in the biomedical domain, applying deep learning to cancer cell detection in pediatric leukemia patients.
Miscellany
- Enjoys surfing; when not diving into 3D Vision, she dives into the ocean with a surfboard.
Co-authors