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- Chinese Academy of SciencesCN17 papers
- Tsinghua UniversityCN17 papers
- Ministry of Industry and Information TechnologyCN16 papers
- Xi'an Jiaotong UniversityCN16 papers
- Xidian UniversityCN16 papers
- Australian National UniversityAU11 papers
- Moscow Institute of Physics and TechnologyRU11 papers
- University of Chinese Academy of SciencesCN10 papers
- Beijing Normal UniversityCN9 papers
- Nankai UniversityCN9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Fudan UniversityCN8 papers
12 papers · 2 filters
Compound Batch Normalization for Long-tailed Image Classification
Lechao Cheng, Chaowei Fang, Dingwen Zhang +2
Significant progress has been made in learning image classification neural networks under long-tail data distribution using robust training algorithms such as data re-sampling, re-…
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
Sicong Liu, Xiaochen Li, Zimu Zhou +4
The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device p…
Learning Dense and Continuous Optical Flow from an Event Camera
Zhexiong Wan, Yuchao Dai, Yuxin Mao
Event cameras such as DAVIS can simultaneously output high temporal resolution events and low frame-rate intensity images, which own great potential in capturing scene motion, such…
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds
Zhiyuan Zhang, Yuchao Dai, Bin Fan +2
Existing learning-based point feature descriptors are usually task-agnostic, which pursue describing the individual 3D point clouds as accurate as possible. However, the matching t…
CU-Net: LiDAR Depth-Only Completion With Coupled U-Net
Yufei Wang, Yuchao Dai, Qi Liu +3
LiDAR depth-only completion is a challenging task to estimate dense depth maps only from sparse measurement points obtained by LiDAR. Even though the depth-only methods have been w…
Searching Dense Point Correspondences via Permutation Matrix Learning
Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +2
Although 3D point cloud data has received widespread attentions as a general form of 3D signal expression, applying point clouds to the task of dense correspondence estimation betw…