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- Chinese Academy of SciencesCN251 papers
- University of Chinese Academy of SciencesCN109 papers
- University of Science and Technology of ChinaCN17 papers
- Peking UniversityCN13 papers
- Tencent (China)CN13 papers
- Tsinghua UniversityCN10 papers
- Beihang UniversityCN9 papers
- Microsoft Research Asia (China)CN8 papers
- National University of SingaporeSG8 papers
- Peng Cheng LaboratoryCN8 papers
- Institute of Information EngineeringCN6 papers
- Lenovo (China)CN6 papers
77 papers · 1 filter
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang +2
The existence of noisy labels in real-world data negatively impacts the performance of deep learning models. Although much research effort has been devoted to improving the robustn…
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes
Ting Yu, Xiaojun Lin, Shuhui Wang +3
Three-Dimensional (3D) dense captioning is an emerging vision-language bridging task that aims to generate multiple detailed and accurate descriptions for 3D scenes. It presents si…
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
Yong Li, Shiguang Shan
Facial action unit (AU) detection, aiming to classify AU present in the facial image, has long suffered from insufficient AU annotations. In this paper, we aim to mitigate this dat…
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
Pengfei Zhou, Weiqing Min, Jiajun Song +2
Food computing brings various perspectives to computer vision like vision-based food analysis for nutrition and health. As a fundamental task in food computing, food detection need…
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection
Pengfei Zhou, Weiqing Min, Yang Zhang +3
Food detection is becoming a fundamental task in food computing that supports various multimedia applications, including food recommendation and dietary monitoring. To deal with re…
End-to-end Alternating Optimization for Real-World Blind Super Resolution
Zhengxiong Luo, Yan Huang, Shang Li +2
Blind Super-Resolution (SR) usually involves two sub-problems: 1) estimating the degradation of the given low-resolution (LR) image; 2) super-resolving the LR image to its high-res…