Large scale visual understanding is challenging, as it requires a model to handle the widely-spread and imbalanced distribution of <subject, relation, object> ...

Jun 24, 2016 · We propose a novel object- and scene-based semantic fusion network and representation. Our semantic fusion network combines three streams of information.

Large-scale action recognition and video categorization are important problems in computer vision. To address these problems, we propose a novel object-and ...

May 5, 2020 · A graph's spectrum is a powerful representation that encodes its properties, including connectivity patterns between graph nodes and clustering ...

Large scale visual understanding is challenging, as it requires a model to handle the widely-spread and imbalanced distri- bution of 〈subject, relation, ...

Jun 10, 2024 · There is a lengthy research history behind the concept of building an in-depth understanding network based on relation patterns among objects.

In this paper, we introduce point cloud-based instance action recognition task in large-scale scenes and collect the HuCenLife dataset equipped with various ...

Mar 26, 2018 · We can use a pyramid of the same image at different scale to detect objects (the left diagram below). However, processing multiple scale images ...

Jul 26, 2017 · Contextual connectivity: A framework for understanding the intrinsic dynamic architecture of large-scale functional brain networks. Rastko ...