Publications
2023
- Novel Class Discovery for 3D Point Cloud Semantic SegmentationIn CVPR, 2023
- Overlap-guided gaussian mixture models for point cloud registrationIn WACV, 2023
- Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic SegmentationIn ICCV, 2023
- Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
2022
- Data augmentation-free unsupervised learning for 3d point cloud understandingBMVC, 2022
- Cosmix: Compositional semantic mix for domain adaptation in 3d lidar segmentationIn ECCV, 2022
- Gipso: Geometrically informed propagation for online adaptation in 3d lidar segmentationIn ECCV, 2022
2021
- Embedding group and obstacle information in lstm networks for human trajectory prediction in crowded scenesCVIU, 2021
2020
- Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasoundTIM, 2020
- Sf-uda 3d: Source-free unsupervised domain adaptation for lidar-based 3d object detectionIn 3CV, 2020
- Low-budget unsupervised label query through domain alignment enforcementCVIU, 2020
2019
- Incremental learning for the detection and classification of gan-generated imagesIn WIFS, 2019
- Regularized evolutionary algorithm for dynamic neural topology searchIn ICIAP, 2019