209 citations
- Tsinghua UniversityCN19 papers
- University of Science and Technology of ChinaCN14 papers
- OriginWater (China)CN12 papers
- Peking UniversityCN10 papers
- Renmin University of ChinaCN8 papers
- Chinese Academy of SciencesCN7 papers
- National University of SingaporeSG7 papers
- University of Electronic Science and Technology of ChinaCN6 papers
- City University of Hong KongHK5 papers
- Hong Kong University of Science and TechnologyHK5 papers
- Tencent (China)CN5 papers
- University of Chinese Academy of SciencesCN5 papers
7 papers · 1 filter
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
Hongwei Yi, Zizhuang Wei, Mingyu Ding +4
n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstructi…
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Kekai Sheng, Weiming Dong, Menglei Chai +6
Visual aesthetic assessment has been an active research field for decades. Although latest methods have achieved promising performance on benchmark datasets, they typically rely on…
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
Yisheng He, Wei Sun, Haibin Huang +3
In this work, we present a novel data-driven method for robust 6DoF object pose estimation from a single RGBD image. Unlike previous methods that directly regressing pose parameter…
Central Server Free Federated Learning over Single-sided Trust Social Networks
Chaoyang He, Conghui Tan, Hanlin Tang +2
Federated learning has become increasingly important for modern machine learning, especially for data privacy-sensitive scenarios. Existing federated learning mostly adopts the cen…
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang +3
Learning-based Adaptive Bit Rate~(ABR) method, aiming to learn outstanding strategies without any presumptions, has become one of the research hotspots for adaptive streaming. Howe…
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
Yingwei Li, Song Bai, Cihang Xie +3
This paper focuses on learning transferable adversarial examples specifically against defense models (models to defense adversarial attacks). In particular, we show that a simple u…