most citedDataset of Industrial Metal Objects

11 citations · 12 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects

Yiheng Huang, Junhong Chen, Nick Michiels +3

Due to the visual properties of reflection and refraction, RGB-D cameras cannot accurately capture the depth of transparent objects, leading to incomplete depth maps. To fill in th…

cs.CV20241 cited

Genetic Learning for Designing Sim-to-Real Data Augmentations

Bram Vanherle, Nick Michiels, Frank Van Reeth

Data augmentations are useful in closing the sim-to-real domain gap when training on synthetic data. This is because they widen the training data distribution, thus encouraging the…

cs.CV2024

VATr++: Choose Your Words Wisely for Handwritten Text Generation

Bram Vanherle, Vittorio Pippi, Silvia Cascianelli +3

Styled Handwritten Text Generation (HTG) has received significant attention in recent years, propelled by the success of learning-based solutions employing GANs, Transformers, and,…

cs.CV2022

Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System

Bram Vanherle, Tim Vervoort, Nick Michiels +1

Capturing an event from multiple camera angles can give a viewer the most complete and interesting picture of that event. To be suitable for broadcasting, a human director needs to…

cs.CV202211 cited

Dataset of Industrial Metal Objects

Peter De Roovere, Steven Moonen, Nick Michiels +1

We present a diverse dataset of industrial metal objects. These objects are symmetric, textureless and highly reflective, leading to challenging conditions not captured in existing…