11 citations · 12 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
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,…
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…
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…