421 citations
- University of Chinese Academy of SciencesCN28 papers
- Chinese Academy of SciencesCN20 papers
- Institute of AutomationCN16 papers
- Beijing Academy of Artificial IntelligenceCN8 papers
- Shandong Institute of AutomationCN7 papers
- Institute of Computing TechnologyCN5 papers
- University of Science and Technology of ChinaCN3 papers
- Tongji UniversityCN2 papers
- Aerospace Information Research InstituteCN1 paper
- Alibaba Group (United States)US1 paper
- Anhui UniversityCN1 paper
- Association for Computing MachineryUS1 paper
23 papers · 1 filter
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training
Man Yao, Xuerui Qiu, Tianxiang Hu +7
The ambition of brain-inspired Spiking Neural Networks (SNNs) is to become a low-power alternative to traditional Artificial Neural Networks (ANNs). This work addresses two major c…
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…
Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis
Linsen Song, Wayne Wu, Chaoyou Fu +2
Existing automated dubbing methods are usually designed for Professionally Generated Content (PGC) production, which requires massive training data and training time to learn a per…
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…
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Fei He, Naiyu Gao, Jian Jia +2
Video object detection has been an important yet challenging topic in computer vision. Traditional methods mainly focus on designing the image-level or box-level feature propagatio…
Weakly Aligned Feature Fusion for Multimodal Object Detection
Lu Zhang, Zhiyong Liu, Xiangyu Zhu +4
To achieve accurate and robust object detection in the real-world scenario, various forms of images are incorporated, such as color, thermal, and depth. However, multimodal data of…