One day workshop on Computer Vision

The workshop delved into a diverse spectrum of cutting-edge topics in machine learning and computer vision. It featured presentations on equivariant convolution and attention within radiance fields, the application of diffusion models in medical imaging, and the intricacies of self-supervised learning, providing a comprehensive understanding of its potential applications. The exploration expanded to meta-learning's pivotal role in few-shot learning scenarios and the integration of causally enabled machine learning for both vision and decision-making processes. The use of generative models for crafting digital humans was also unveiled, showcasing interesting applications and demos. The workshop concluded with insights into neural graph function approximation, seamlessly bridging the gap from graph signals to general graph spaces.

One day workshop on Computer Vision