We propose a technique that tackles action detection in multimodal videos under a realistic and challenging condition in which only limited training data and partially observed …
Unlike machines, humans learn through rapid, abstract model-building. The role of a teacher is not simply to hammer home right or wrong answers, but rather to provide intuitive …
Multiview learning (MVL), by exploiting the complementary information among multiple feature sets, can improve the performance of many existing learning tasks. Support vector …
Quasi-static ultrasound elastography is an importance imaging technology to assess the conditions of various diseases through reconstructing the tissue strain from radio frequency …
Equipping machine learning models with ethical and legal constraints is a serious issue; without this, the future of machine learning is at risk. This paper takes a step forward in this …
In school, a teacher plays an important role in various classroom teaching patterns. Likewise to this human learning activity, the learning using privileged information (LUPI) paradigm …
Z Shi, TK Kim - Proceedings of the IEEE conference on …, 2017 - openaccess.thecvf.com
Existing RNN-based approaches for action recognition from depth sequences require either skeleton joints or hand-crafted depth features as inputs. An end-to-end manner, mapping …
S Lee, J Rim, B Jeong, G Kim, B Woo… - Proceedings of the …, 2023 - openaccess.thecvf.com
We study human pose estimation in extremely low-light images. This task is challenging due to the difficulty of collecting real low-light images with accurate labels, and severely …
S Motiian, M Piccirilli, DA Adjeroh… - Proceedings of the …, 2016 - openaccess.thecvf.com
We explore the visual recognition problem from a main data view when an auxiliary data view is available during training. This is important because it allows improving the training of …