Computer Vision
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, …
Acquiring count annotations generally requires less human effort than point-level and bounding box annotations. Thus, we propose the …
Instance segmentation methods often require costly per-pixel labels. We propose a method called WISE-Net that only requires point-level …
Few-shot classification is challenging because the data distribution of the training set can be widely different to the test set as …
Generative deep learning has sparked a new wave of Super-Resolution (SR) algorithms that enhance single images with impressive …
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …
A major obstacle in instance segmentation is that existing methods often need many per-pixel labels in order to be effective. These …
How do we determine whether two or more clothing items are compatible or visually appealing? Part of the answer lies in understanding …