50 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beijing Institute of TechnologyCN4 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Didi Chuxing (China)2 papers
- Harbin Institute of TechnologyCN2 papers
- Syracuse UniversityUS2 papers
- Tsinghua UniversityCN2 papers
- Beijing Advanced Sciences and Innovation CenterCN1 paper
- Delft University of TechnologyNL1 paper
- East China Normal UniversityCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Kuaishou (China)1 paper
- Michigan State UniversityUS1 paper
7 papers · 1 filter
EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution
Dachun Kai, Jiayao Lu, Yueyi Zhang +1
Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introdu…
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field
Haowen Wang, Zhipeng Fan, Zhen Zhao +7
Estimating 6D poses and reconstructing 3D shapes of objects in open-world scenes from RGB-depth image pairs is challenging. Many existing methods rely on learning geometric feature…
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion
Haowen Wang, Zhengping Che, Yufan Yang +6
Raw depth images captured in indoor scenarios frequently exhibit extensive missing values due to the inherent limitations of the sensors and environments. For example, transparent…
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Rui Han, Qinglong Zhang, Chi Harold Liu +3
Deep neural networks (DNNs) have become ubiquitous techniques in mobile and embedded systems for applications such as image/object recognition and classification. The trend of exec…
Human Pose Transfer with Augmented Disentangled Feature Consistency
Kun Wu, Chengxiang Yin, Zhengping Che +4
Deep generative models have made great progress in synthesizing images with arbitrary human poses and transferring poses of one person to others. Though many different methods have…
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
Yushuo Guan, Ning Liu, Pengyu Zhao +4
The convolutional neural network has achieved great success in fulfilling computer vision tasks despite large computation overhead against efficient deployment. Structured (channel…
A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training
Xin Chen, Hua Zhou, Yuxiang Gao +1
Large scale deep Convolution Neural Networks (CNNs) increasingly demands the computing power. It is key for researchers to own a great powerful computing platform to leverage deep…