43 results on '"Laura Leal-Taixé"'
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2. The NeRFect Match: Exploring NeRF Features for Visual Localization.
3. SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation.
4. SeMoLi: What Moves Together Belongs Together.
5. Better Call SAL: Towards Learning to Segment Anything in Lidar.
6. MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation.
7. Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis.
8. Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation.
9. Staged Contact-Aware Global Human Motion Forecasting.
10. Lidar Panoptic Segmentation and Tracking without Bells and Whistles.
11. Unifying Short and Long-Term Tracking with Graph Hierarchies.
12. G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors.
13. Soft Augmentation for Image Classification.
14. Simple Cues Lead to a Strong Multi-Object Tracker.
15. Lidar Panoptic Segmentation in an Open World.
16. DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction.
17. The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning.
18. DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment.
19. Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.
20. A Unified Framework for Implicit Sinkhorn Differentiation.
21. Forecasting from LiDAR via Future Object Detection.
22. DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation.
23. TrackFormer: Multi-Object Tracking with Transformers.
24. Opening up Open World Tracking.
25. Text2Pos: Text-to-Point-Cloud Cross-Modal Localization.
26. Decoupling Identity and Visual Quality for Image and Video Anonymization.
27. Is Geometry Enough for Matching in Visual Localization?
28. PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?
29. Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images.
30. Multi-Object Tracking and Segmentation Via Neural Message Passing.
31. Learn to Predict Sets Using Feed-Forward Neural Networks.
32. Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
33. Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis.
34. NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation.
35. The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes.
36. Learning to Discover and Detect Objects.
37. Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
38. The Group Loss++: A deeper look into group loss for deep metric learning.
39. Simple Cues Lead to a Strong Multi-Object Tracker.
40. DeVIS: Making Deformable Transformers Work for Video Instance Segmentation.
41. G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors.
42. Soft Augmentation for Image Classification.
43. Unifying Short and Long-Term Tracking with Graph Hierarchies.
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