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19932026
most citedAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

22k citations

Showing 2023 · cs.CVShow all

10 papers · 2 filters

cs.CV2023★ 16 cited

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske +2

We present Q-Seg, a novel unsupervised image segmentation method based on quantum annealing, tailored for existing quantum hardware. We formulate the pixel-wise segmentation proble…

cs.CV2023★ 7 cited

It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera

Amr Gomaa, Guillermo Reyes, Michael Feld

Despite significant advances in gesture recognition technology, recognizing gestures in a driving environment remains challenging due to limited and costly data and its dynamic, ev…

cs.CV2023★ 3 cited

SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios

Amr Gomaa, Robin Zitt, Guillermo Reyes +1

Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming. To overcome this…

cs.CV2023★ 16 cited

Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level

Deepak Pathak, Miro Miranda, Francisco Mena +11

We introduce a simple yet effective early fusion method for crop yield prediction that handles multiple input modalities with different temporal and spatial resolutions. We use hig…

cs.CV2023★ 4 cited

A Comparative Assessment of Multi-view fusion learning for Crop Classification

Francisco Mena, Diego Arenas, Marlon Nuske +1

With a rapidly increasing amount and diversity of remote sensing (RS) data sources, there is a strong need for multi-view learning modeling. This is a complex task when considering…

cs.CV2023★ 2 cited

Dynamic Attention-Guided Diffusion for Image Super-Resolution

Brian B. Moser, Stanislav Frolov, Federico Raue +2

Diffusion models in image Super-Resolution (SR) treat all image regions uniformly, which risks compromising the overall image quality by potentially introducing artifacts during de…