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Dive into the research topics where Felix Heide is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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Collaborative Research: OP: Meta-optical Computational Image Sensors
Heide, F. (PI)
NSF - National Science Foundation
8/1/21 → 7/31/25
Project: Research project
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CAREER: Perceptual Cameras: Forming Images Through Scene Interpretation
Heide, F. (PI)
NSF - National Science Foundation
2/1/21 → 1/31/26
Project: Research project
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SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
Palladin, E., Dietze, R., Narayanan, P., Bijelic, M. & Heide, F., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 484-503 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15119 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Cross-spectral Gated-RGB Stereo Depth Estimation
Brucker, S., Walz, S., Bijelic, M. & Heide, F., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 21654-21665 12 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Scopus citations -
Dispersed Structured Light for Hyperspectral 3D Imaging
Shin, S., Choi, S., Heide, F. & Baek, S. H., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 24997-25006 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
Kumar, A., Mannan, F., Jafari, O. H., Li, S. & Heide, F., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 15375-15385 11 p.Research output: Contribution to journal › Conference article › peer-review
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HINT: Learning Complete Human Neural Representations from Limited Viewpoints
Sanvito, A., Ramazzina, A., Walz, S., Bijelic, M. & Heide, F., 2024, 35th IEEE Intelligent Vehicles Symposium, IV 2024. Institute of Electrical and Electronics Engineers Inc., p. 1556-1563 8 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access