19 citations · 29 across the 9 of their papers we have counts for
9 papers
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
Jie Mei, Chenyu Lin, Yu Qiu +4
Lung cancer is a leading cause of cancer-related deaths globally. PET-CT is crucial for imaging lung tumors, providing essential metabolic and anatomical information, while it face…
Multiview Point Cloud Registration Based on Minimum Potential Energy for Free-Form Blade Measurement
Zijie Wu, Yaonan Wang, Yang Mo +5
Point cloud registration is an essential step for free-form blade reconstruction in industrial measurement. Nonetheless, measuring defects of the 3D acquisition system unavoidably…
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
Junfei Yi, Jianxu Mao, Tengfei Liu +5
Knowledge distillation (KD) is a widely adopted and effective method for compressing models in object detection tasks. Particularly, feature-based distillation methods have shown r…
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
Zijie Wu, Yaonan Wang, Mingtao Feng +2
Diffusion probabilistic models have achieved remarkable success in text guided image generation. However, generating 3D shapes is still challenging due to the lack of sufficient da…
Towards Anytime Optical Flow Estimation with Event Cameras
Yaozu Ye, Hao Shi, Kailun Yang +5
Event cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide on…
A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification
Wenbin He, Jianxu Mao, Yaonan Wang +3
To improve the performance in identifying the faults under strong noise for rotating machinery, this paper presents a dynamic feature reconstruction signal graph method, which play…
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning
Yihong Cao, Hui Zhang, Xiao Lu +3
Domain adaptive semantic segmentation enables robust pixel-wise understanding in real-world driving scenes. Source-free domain adaptation, as a more practical technique, addresses…
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction
Zhihong Fang, Shaolin Tan, Yaonan Wang
In this paper, we consider the problem of inferring the sign of a link based on limited sign data in signed networks. Regarding this link sign prediction problem, SDGNN (Signed Dir…
Deep Reinforcement Learning-based Multi-objective Path Planning on the Off-road Terrain Environment for Ground Vehicles
Shuqiao Huang, Xiru Wu, Guoming Huang
Due to the vastly different energy consumption between up-slope and down-slope, a path with the shortest length on a complex off-road terrain environment (2.5D map) is not always t…