Search Results for author: Hongmin Xu

Found 6 papers, 1 papers with code

Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5

no code implementations20 Mar 2023 Zhifeng Wang, Jialong Yao, Chunyan Zeng, Wanxuan Wu, Hongmin Xu, Yang Yang

The use of computer vision technology to identify students' learning behavior in the classroom can reduce the workload of traditional teachers in supervising students in the classroom, and ensure greater accuracy and comprehensiveness.

Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain

no code implementations8 Mar 2023 Zhifeng Wang, Wanxuan Wu, Chunyan Zeng, Jialong Yao, Yang Yang, Hongmin Xu

With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and E-learning systems are developed based on blockchain technology.

Vulnerability Detection

Convolutional Embedding Makes Hierarchical Vision Transformer Stronger

no code implementations27 Jul 2022 Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu

Vision Transformers (ViTs) have recently dominated a range of computer vision tasks, yet it suffers from low training data efficiency and inferior local semantic representation capability without appropriate inductive bias.

Inductive Bias

Hand Image Understanding via Deep Multi-Task Learning

1 code implementation ICCV 2021 Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu

To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.

3D Hand Pose Estimation Multi-Task Learning +1

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation

no code implementations CVPR 2021 Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren

Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions.

Ranked #9 on Semantic Segmentation on Cityscapes test (using extra training data)

Image Segmentation Neural Architecture Search +1

StyleRemix: An Interpretable Representation for Neural Image Style Transfer

no code implementations27 Feb 2019 Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng

Multi-Style Transfer (MST) intents to capture the high-level visual vocabulary of different styles and expresses these vocabularies in a joint model to transfer each specific style.

Style Transfer

Cannot find the paper you are looking for? You can Submit a new open access paper.