no code implementations • 5 Aug 2020 • Wei Hu, Jiahao Pang, Xian-Ming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro
Geometric data acquired from real-world scenes, e. g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc.
no code implementations • ICLR 2020 • Jiawei Ma*, Zheng Shou*, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang
In order to impute the missing values, state-of-the-art methods are built on Recurrent Neural Networks (RNN), which process each time stamp sequentially, prohibiting the direct modeling of the relationship between distant time stamps.
no code implementations • 2019 IEEE International Conference on Image Processing (ICIP) 2019 • Jiun-Yu Kao, Antonio Ortega, Dong Tian, Hassan Mansour, Anthony Vetro
Understanding human activity based on sensor information is required in many applications and has been an active research area.
Ranked #4 on Skeleton Based Action Recognition on MSR Action3D
2 code implementations • 23 May 2019 • Jiawei Ma, Zheng Shou, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang
In order to jointly capture the self-attention across multiple dimensions, including time, location and the sensor measurements, while maintain low computational complexity, we propose a novel approach called Cross-Dimensional Self-Attention (CDSA) to process each dimension sequentially, yet in an order-independent manner.
no code implementations • ECCV 2018 • Zheng Shou, Junting Pan, Jonathan Chan, Kazuyuki Miyazawa, Hassan Mansour, Anthony Vetro, Xavier Giro-i-Nieto, Shih-Fu Chang
We aim to tackle a novel task in action detection - Online Detection of Action Start (ODAS) in untrimmed, streaming videos.
no code implementations • 11 Feb 2017 • Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević
We use a general feature-extraction operator to represent application-dependent features and propose a general reconstruction error to evaluate the quality of resampling.
no code implementations • 4 Sep 2015 • Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro
In 3D image/video acquisition, different views are often captured with varying noise levels across the views.