50 results on '"Poggi, Matteo"'
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2. Learning Depth Estimation for Transparent and Mirror Surfaces
3. Depth Self-Supervision for Single Image Novel View Synthesis
4. TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network
5. Contrastive Learning for Depth Prediction
6. The Second Monocular Depth Estimation Challenge
7. NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces
8. NeRF-Supervised Deep Stereo
9. CompletionFormer: Depth Completion with Convolutions and Vision Transformers
10. The Monocular Depth Estimation Challenge
11. ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
12. Sparsity Agnostic Depth Completion
13. Unsupervised confidence for LiDAR depth maps and applications
14. Multi-View Guided Multi-View Stereo
15. MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
16. Cross-Spectral Neural Radiance Fields
17. RED-SEA: Network Solution for Exascale Architectures
18. RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
19. Open Challenges in Deep Stereo: the Booster Dataset
20. Meta-confidence estimation for stereo matching
21. Neural Disparity Refinement for Arbitrary Resolution Stereo
22. Sensor-Guided Optical Flow
23. Learning optical flow from still images
24. Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation
25. Matching-space Stereo Networks for Cross-domain Generalization
26. Enabling monocular depth perception at the very edge
27. On the Uncertainty of Self-Supervised Monocular Depth Estimation
28. Distilled Semantics for Comprehensive Scene Understanding from Videos
29. Real-Time Semantic Stereo Matching
30. Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry
31. Real-Time Self-Adaptive Deep Stereo
32. Guided Stereo Matching
33. Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
34. Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems
35. Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms
36. Towards Real-Time Unsupervised Monocular Depth Estimation on CPU
37. Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
38. Unsupervised Adaptation for Deep Stereo
39. Quantitative Evaluation of Confidence Measures in a Machine Learning World
40. Even More Confident Predictions with Deep Machine-Learning
41. Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
42. Learning confidence measures in the wild
43. Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices
44. Improving the reliability of 3D people tracking system by means of deep-learning
45. Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep-Learning
46. Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching
47. A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning
48. Learning from scratch a confidence measure
49. A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA
50. A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA.
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