Michael Felsberg

Identifiers

• name variant Michael Felsberg 0.60 · backfill

Papers (77)

1. Benchmark Dataset for Catalysis on 2D MXenes cond-mat.mtrl-sci · 2026 · author #6
2. Commutator-Induced Uncertainty in VAEs cs.LG · 2026 · author #2
3. Generating Symmetric Materials using Latent Flow Matching cs.LG · 2026 · author #5
4. HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images cs.CV · 2026 · author #3
5. LoMa: Local Feature Matching Revisited cs.CV · 2026 · author #8
6. R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation cs.CV · 2025 · author #8
7. Grounding Functional Similarity by Invariance-Aware Model Stitching cs.LG · 2025 · author #3
8. From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion cs.CV · 2025 · author #4
9. GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving cs.CV · 2025 · author #9
10. DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection cs.CV · 2025 · author #4
11. All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages cs.CV · 2024 · author #62
12. Affine steerers for structured keypoint description cs.CV · 2024 · author #3
13. Prior Learning in Introspective VAEs cs.LG · 2024 · author #3
14. Boosting the Validity of Multi-Class Quantum Outputs: Living on the Edge quant-ph · 2024 · author #2
15. Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning cs.RO · 2024 · author #4
16. NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving cs.CV · 2024 · author #6
17. Composed Video Retrieval via Enriched Context and Discriminative Embeddings cs.CV · 2024 · author #5
18. DiffSF: Diffusion Models for Scene Flow Estimation cs.CV · 2024 · author #4
19. MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT cs.CL · 2024 · author #6
20. PALO: A Polyglot Large Multimodal Model for 5B People cs.CL · 2024 · author #8
21. SeTformer is What You Need for Vision and Language cs.CV · 2024 · author #4
22. Steerers: A framework for rotation equivariant keypoint descriptors cs.CV · 2023 · author #3
23. Certainty In, Certainty Out: REVQCs for Quantum Machine Learning cs.LG · 2023 · author #2
24. Leveraging the Power of Data Augmentation for Transformer-based Tracking cs.CV · 2023 · author #3
25. IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation cs.CV · 2023 · author #5
26. DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching cs.CV · 2023 · author #4
27. Learning to Augment: Hallucinating Data for Domain Generalized Segmentation cs.CV · 2023 · author #3
28. Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning cs.RO · 2023 · author #3
29. Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration cs.LG · 2023 · author #5
30. GMSF: Global Matching Scene Flow cs.CV · 2023 · author #6
31. O$n$ Learning Deep O($n$)-Equivariant Hyperspheres cs.LG · 2023 · author #2
32. RoMa: Robust Dense Feature Matching cs.CV · 2023 · author #5
33. High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation cs.CV · 2023 · author #3
34. Flow-guided Semi-supervised Video Object Segmentation cs.CV · 2023 · author #4
35. Raw or Cooked? Object Detection on RAW Images cs.CV · 2023 · author #4
36. Evidential Deep Learning for Class-Incremental Semantic Segmentation cs.CV · 2022 · author #3
37. TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis cs.CV · 2022 · author #3
38. Balanced Product of Calibrated Experts for Long-Tailed Recognition cs.CV · 2022 · author #3
39. Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer cs.CV · 2022 · author #8
40. Importance Sampling CAMs for Weakly-Supervised Segmentation cs.CV · 2022 · author #2
41. Visual Feature Encoding for GNNs on Road Networks cs.CV · 2022 · author #3
42. DKM: Dense Kernelized Feature Matching for Geometry Estimation cs.CV · 2022 · author #4
43. Learning to integrate vision data into road network data cs.CV · 2021 · author #3
44. DoodleFormer: Creative Sketch Drawing with Transformers cs.CV · 2021 · author #7
45. Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook cs.CV · 2021 · author #5
46. Dense Gaussian Processes for Few-Shot Segmentation cs.CV · 2021 · author #3
47. Graph Representation Learning for Road Type Classification cs.LG · 2021 · author #4
48. VidHarm: A Clip Based Dataset for Harmful Content Detection cs.CV · 2021 · author #3
49. Steerable 3D Spherical Neurons cs.CV · 2021 · author #2
50. A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control cs.CV · 2021 · author #4
51. Deep Gaussian Processes for Few-Shot Segmentation cs.CV · 2021 · author #4
52. Normalized Convolution Upsampling for Refined Optical Flow Estimation cs.CV · 2021 · author #2
53. Learning Video Instance Segmentation with Recurrent Graph Neural Networks cs.CV · 2020 · author #4
54. Embed Me If You Can: A Geometric Perceptron cs.LG · 2020 · author #2
55. Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End cs.CV · 2020 · author #2
56. Learning What to Learn for Video Object Segmentation cs.CV · 2020 · author #5
57. Learning Fast and Robust Target Models for Video Object Segmentation cs.CV · 2020 · author #5
58. Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System cs.RO · 2019 · author #24
59. Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training cs.CV · 2019 · author #3
60. Discriminative Online Learning for Fast Video Object Segmentation cs.CV · 2019 · author #5
61. A Generative Appearance Model for End-to-end Video Object Segmentation cs.CV · 2018 · author #5
62. ATOM: Accurate Tracking by Overlap Maximization cs.CV · 2018 · author #4
63. Confidence Propagation through CNNs for Guided Sparse Depth Regression cs.CV · 2018 · author #2
64. Propagating Confidences through CNNs for Sparse Data Regression cs.CV · 2018 · author #2
65. Unveiling the Power of Deep Tracking cs.CV · 2018 · author #5
66. Density Adaptive Point Set Registration cs.CV · 2018 · author #5
67. DCCO: Towards Deformable Continuous Convolution Operators cs.CV · 2017 · author #4
68. Deep Projective 3D Semantic Segmentation cs.CV · 2017 · author #6
69. Deep Motion Features for Visual Tracking cs.CV · 2016 · author #4
70. Scale Coding Bag of Deep Features for Human Attribute and Action Recognition cs.CV · 2016 · author #5
71. ECO: Efficient Convolution Operators for Tracking cs.CV · 2016 · author #4
72. Discriminative Scale Space Tracking cs.CV · 2016 · author #4
73. Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking cs.CV · 2016 · author #4
74. Learning Spatially Regularized Correlation Filters for Visual Tracking cs.CV · 2016 · author #4
75. Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking cs.CV · 2016 · author #4
76. Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game cs.SY · 2016 · author #2
77. Efficient Robust Mean Value Calculation of 1D Features cs.CV · 2016 · author #2

Mentions

• 2406.04920 #4 · arxiv_oai · confidence 0.70 Michael Felsberg
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• 2106.13863 #2 · arxiv_oai · confidence 0.70 Michael Felsberg
• 2006.06507 #2 · arxiv_oai · confidence 0.70 Michael Felsberg
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• 2012.03911 #4 · arxiv_oai · confidence 0.70 Michael Felsberg
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• 2003.11540 #5 · arxiv_oai · confidence 0.70 Michael Felsberg
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Frequent Coauthors

• Fahad Shahbaz Khan 24 shared papers
• Martin Danelljan 19 shared papers
• Johan Edstedt 12 shared papers
• M{\aa}rten Wadenb\"ack 10 shared papers
• Joakim Johnander 8 shared papers
• Andreas Robinson 7 shared papers
• Georg B\"okman 6 shared papers
• Pavlo Melnyk 6 shared papers
• Salman Khan 6 shared papers
• Arvi Jonnarth 5 shared papers
• Felix J\"aremo Lawin 5 shared papers
• Goutam Bhat 5 shared papers
• Rao Muhammad Anwer 5 shared papers
• Abdelrahman Eldesokey 4 shared papers
• Christoffer Petersson 4 shared papers
• Fredrik Kahl 4 shared papers
• Karl Holmquist 4 shared papers
• Omkar Thawakar 4 shared papers
• William Ljungbergh 4 shared papers
• Yushan Zhang 4 shared papers