71 citations
- Huazhong University of Science and TechnologyCN8 papers
- Chinese Academy of SciencesCN7 papers
- Institute of AutomationCN7 papers
- Nanjing UniversityCN7 papers
- Tsinghua UniversityCN7 papers
- University of Chinese Academy of SciencesCN6 papers
- Wuhan UniversityCN5 papers
- Institute of AcousticsCN4 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN3 papers
- Chinese University of Hong KongHK2 papers
- Google (United States)US2 papers
- Horizon Research (United States)US2 papers
8 papers · 1 filter
Gaussian Vector: An Efficient Solution for Facial Landmark Detection
Yilin Xiong, Zijian Zhou, Yuhao Dou +1
Significant progress has been made in facial landmark detection with the development of Convolutional Neural Networks. The widely-used algorithms can be classified into coordinate…
Semi-Blind Source Separation for Nonlinear Acoustic Echo Cancellation
Guoliang Cheng, Lele Liao, Hongsheng Chen +1
The mismatch between the numerical and actual nonlinear models is a challenge to nonlinear acoustic echo cancellation (NAEC) when the nonlinear adaptive filter is utilized. To alle…
Recurrent Inference in Text Editing
Ning Shi, Ziheng Zeng, Haotian Zhang +1
In neural text editing, prevalent sequence-to-sequence based approaches directly map the unedited text either to the edited text or the editing operations, in which the performance…
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation
Naiyu Gao, Yanhu Shan, Xin Zhao +1
Panoptic segmentation (PS) is a complex scene understanding task that requires providing high-quality segmentation for both thing objects and stuff regions. Previous methods handle…
Deep Momentum Uncertainty Hashing
Chaoyou Fu, Guoli Wang, Xiang Wu +2
Combinatorial optimization (CO) has been a hot research topic because of its theoretic and practical importance. As a classic CO problem, deep hashing aims to find an optimal code…
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Jialian Wu, Liangchen Song, Tiancai Wang +2
Despite the previous success of object analysis, detecting and segmenting a large number of object categories with a long-tailed data distribution remains a challenging problem and…