54 citations · 227 across the 28 of their papers we have counts for
10 papers · 1 filter
Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers
Qihao Zhu, Xinyu Zhang, Jianxi Luo
Biological systems in nature have evolved for millions of years to adapt and survive the environment. Many features they developed can be inspirational and beneficial for solving t…
Coupled Modeling and Fusion Control for a Multi-modal Deformable Land-air Robot
Xinyu Zhang, Yuanhao Huang, Kangyao Huang +4
A deformable land-air robot is introduced with excellent driving and flying capabilities, offering a smooth switching mechanism between the two modes. An elaborate coupled dynamics…
CAE v2: Context Autoencoder with CLIP Target
Xinyu Zhang, Jiahui Chen, Junkun Yuan +10
Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been pr…
Multi-modal Fusion Technology based on Vehicle Information: A Survey
Yan Gong, Jianli Lu, Jiayi Wu +1
Multi-modal fusion is a basic task of autonomous driving system perception, which has attracted many scholars' interest in recent years. The current multi-modal fusion methods main…
A Multi-modal Deformable Land-air Robot for Complex Environments
Xinyu Zhang, Yuanhao Huang, Kangyao Huang +4
Single locomotion robots often struggle to adapt in highly variable or uncertain environments, especially in emergencies. In this paper, a multi-modal deformable robot is introduce…
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction
Chao Feng, Jui Po Hung, Aishan Li +2
Diabetic Retinopathy (DR) has become one of the leading causes of vision impairment in working-aged people and is a severe problem worldwide. However, most of the works ignored the…
UFO: Unified Feature Optimization
Teng Xi, Yifan Sun, Deli Yu +13
This paper proposes a novel Unified Feature Optimization (UFO) paradigm for training and deploying deep models under real-world and large-scale scenarios, which requires a collecti…
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Zhiyin Shao, Xinyu Zhang, Meng Fang +3
Text-to-image person re-identification (ReID) aims to search for pedestrian images of an interested identity via textual descriptions. It is challenging due to both rich intra-moda…
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Lei Yang, Xinyu Zhang, Li Wang +3
Monocular 3D object detection is an essential perception task for autonomous driving. However, the high reliance on large-scale labeled data make it costly and time-consuming durin…
Implicit Sample Extension for Unsupervised Person Re-Identification
Xinyu Zhang, Dongdong Li, Zhigang Wang +5
Most existing unsupervised person re-identification (Re-ID) methods use clustering to generate pseudo labels for model training. Unfortunately, clustering sometimes mixes different…