Kavli Affiliate: Zheng Zhu | First 5 Authors: Qingping Zheng, Jiankang Deng, Zheng Zhu, Ying Li, Stefanos Zafeiriou | Summary: This paper probes intrinsic factors behind typical failure cases (e.g. spatial inconsistency and boundary confusion) produced by the existing state-of-the-art method in face parsing. To tackle these problems, we propose a novel Decoupled Multi-task Learning […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu | Summary: Batch normalization (BN) is a milestone technique in deep learning. It normalizes the activation using mini-batch statistics during training but the estimated population statistics during inference. This paper focuses on investigating the estimation of population […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Masahiro Kaneko, Danushka Bollegala, , | Summary: Sense embedding learning methods learn different embeddings for the different senses of an ambiguous word. One sense of an ambiguous word might be socially biased while its other senses remain unbiased. In comparison to the numerous prior work […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Rong-Yang Sun, Hui-Ke Jin, Hong-Hao Tu, Yi Zhou, | Summary: The nature of the ground state for the $S = 1/2$ kagome Heisenberg antiferromagnet (KHAF) has been elusive. We revisit this challenging problem and provide numerical evidence that its ground state might be a chiral spin liquid. […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu | Summary: Many gait recognition methods first partition the human gait into N-parts and then combine them to establish part-based feature representations. Their gait recognition performance is often affected by partitioning strategies, which are empirically chosen in […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa | Summary: Magnetic Resonance (MR) image reconstruction from under-sampled acquisition promises faster scanning time. To this end, current State-of-The-Art (SoTA) approaches leverage deep neural networks and supervised training to learn a recovery model. While these approaches […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yiwei Qiu, Buxiang Zhou, Tianlei Zang, Yi Zhou, Ruomei Qi | Summary: The operational flexibility of industrial power-to-hydrogen (P2H) plants enables admittance of volatile renewable power and provides auxiliary regulatory services for the power grid. Aiming to extend the flexibility of the P2H plant further, this work […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]