Accès ouvert
2026
article
OpenAlex
Cheng Sun, Danning Wu, Zihao Wu, Weibing Zhou et autres
Student behavior recognition in classroom environments is important for teaching quality assessment and intelligent education, yet it remains challenging due to dense student distributions, frequent occlusion, substantial scale variation, and the subtle nature of common classroom activities. To address these issues, this …
cn
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Chin-Yang Lin, Cheng Sun, Fu-En Yang, Min-Hung Chen et autres
LongSplat addresses critical challenges in novel view synthesis (NVS) from casually captured long videos characterized by irregular camera motion, unknown camera poses, and expansive scenes. Current methods often suffer from pose drift, inaccurate geometry initialization, and severe memory limitations. To address these …
tw, gb
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Hao-Yu Hou, Chia-Chi Hsu, Yu-Chen Huang, Mu-Yi Shen et autres
3D Gaussian Splatting (3DGS) [1] is a promising method for 3D reconstruction and novel view synthesis. However, training it with unconstrained images presents challenges due to transient objects that cause undesired floaters and ghosting artifacts. Although related works using Neural Radiance Fields …
tw, us, cn
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Jin Zhang, Cheng Sun
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Xi Du, Rui Li, Qiang Gu, Jian Zhang et autres
Age estimation from facial images is an attractive research topic in computer vision. A variety of large and deep Convolutional Neural Networks (CNN) based approaches have been proposed with promising performance. However, these models are not suitable for deploying on mobile platforms …
cn
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Dingkang Yang, Yehua Wei, Chunwei Hu, Xin Yu et autres
Deep convolutional neural networks have demonstrated significant performance improvements in face super-resolution tasks. However, many deep learning-based approaches tend to overlook the inherent structural information and feature correlation across different scales in face images, making the accurate recovery of face structure in …
cn
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Fen Yi, Hong Liu, You Wang, Sheng Wu et autres
It is highly significant from a research standpoint and a valuable practice to identify diseases, symptoms, drugs, examinations, and other medical entities in medical text data to support knowledge maps, question and answer systems, and other downstream tasks that can provide the …
cn
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Jin Zhang, Yiqi Huang, Yu Pi, Cheng Sun et autres
In this paper, a deep learning-based prediction model VMD-GLRT is proposed to address the accuracy problem of service load prediction. The VMD-GLRT model combines Variational Mode Decomposition (VMD) and GRU-LSTM. At the same time, the model incorporates residual networks and self-attentive mechanisms …
cn
(code pays fourni par la source)
2022
conference-paper
OpenAlex
ZeWen Gao, Cheng Sun
cn
(code pays fourni par la source)
2022
conference-paper
OpenAlex
Jin Zhang, Ming Shu, Cheng Sun, Yiqi Huang
cn
(code pays fourni par la source)