The UX and Ethnography team joined the ACM Conference on Human Factors in Computing Systems (CHI), the most important conference in the field of Human-Computing Interaction. In this article we share our highlights and how we lived this intensive event.
The first deep regression-based method that generalizes to larger environments, performs better than state-of-the-art with little training data and is robust to occlusion. Virtual Gallery dataset provided.
An article we recently published on arXiv gives an overview of the evolution of local features - from handcrafted to deep-learning-based methods - and a discussion of several benchmarks and papers that evaluate local features.