The 22th Embedded Vision Workshop
Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tosini_2026_CVPR, author = {Tosini, Francesco and Pedroni, Simone and Veronesi, Christian and Bartoli, Pietro and Giudici, Andrea and Paracchini, Marco and Marcon, Marco and Trojaniello, Diana}, title = {Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3763-3771} }
EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2026_CVPR, author = {Kim, Seungjin and Jafarpourmarzouni, Reza and Neff, Christopher and Tabkhi, Hamed and Katariya, Vinit Amrutlal}, title = {EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3712-3723} }
TinyDEVO: Deep Event-based Visual Odometry on Ultra-low-power Multi-core Microcontrollers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Marchei_2026_CVPR, author = {Marchei, Alessandro and Lamberti, Lorenzo and Palossi, Daniele and Benini, Luca}, title = {TinyDEVO: Deep Event-based Visual Odometry on Ultra-low-power Multi-core Microcontrollers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3724-3733} }
BlankSkip: Early-exit Object Detection onboard Nano-drones-
[pdf]
[arXiv]
[bibtex]@InProceedings{Marra_2026_CVPR, author = {Marra, Carlo and Motetti, Beatrice Alessandra and Burrello, Alessio and Macii, Enrico and Poncino, Massimo and Pagliari, Daniele Jahier}, title = {BlankSkip: Early-exit Object Detection onboard Nano-drones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3734-3743} }
Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mejri_2026_CVPR, author = {Mejri, Mohamed and Rasul, Ashiqur and Chatterjee, Abhijit}, title = {Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3744-3753} }
Token-Space Mask Prediction for Efficient Vision Transformer Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Galagain_2026_CVPR, author = {Galagain, Calvin and Poreba, Martyna and Goulette, Francois}, title = {Token-Space Mask Prediction for Efficient Vision Transformer Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3703-3711} }
EventGuard: Sparsity-Aware In-Sensor Denoising for Frame-Based Event Vision Sensors-
[pdf]
[bibtex]@InProceedings{So_2026_CVPR, author = {So, Jaehyeon and Chung, Woosung and Hwang, Chanwook and Ko, Jong Hwan}, title = {EventGuard: Sparsity-Aware In-Sensor Denoising for Frame-Based Event Vision Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3754-3762} }

