Computer Vision
Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to …
In this paper, we extend the blind-spot based self-supervised denoising by using affinity learning to remove noise from affected …
Large pre-trained models have proved to be remarkable zero- and (prompt-based) few-shot learners in unimodal vision and language tasks. …
Synthetic image generation has recently experienced significant improvements in domains such as natural image or art generation. …
Robots in many real-world settings have access to force/torque sensors in their gripper and tactile sensing is often necessary in tasks …
Semantic segmentation is a popular task that has piqued the interest of many industries and research communities. However, acquiring …
Natural image matting is the task of precisely estimating alpha mattes to separate foreground objects from background images. Existing …
The ALFRED environment features an embodied agent following instructions and accomplishing tasks in simulated home environments. …
Supervised training of neural networks requires a large amount of manually annotated data and the resulting networks tend to be …
Applications such as disaster management enormously benefit from rapid availability of satellite observations.
Traditionally, data …