Publications (9)
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
Naifan Li, Fan Song, Ying Zhang +2
Detection of rare objects (e.g., traffic cones, traffic barrels and traffic warning triangles) is an important perception task to improve the safety of autonomous driving. Training…
Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
Jingqi Tong, Jixin Tang, Hangcheng Li +21
Vision-language reinforcement learning (RL) has primarily focused on narrow domains (e.g. geometry or chart reasoning). This leaves broader training scenarios and resources underex…
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism
Xiangyu Zhao, Peng Zhang, Fan Song +6
Coronavirus Disease 2019 (COVID-19) has caused great casualties and becomes almost the most urgent public health events worldwide. Computed tomography (CT) is a significant screeni…
Stability of the Sobolev--Escobar bridge inequality
Fan Song, Li Gui-Dong, Zhang Jianjun
We study the local stability of the bridge family \[ Φ(T):=\inf_{u\in\mathcal A_T}\|\nabla u\|_{L^2(\mathbb R^n_+)}, \qquad T>0,\quad n\ge3, \] where \[ \mathcal A_T := \Bigl\{ u\…
Prior Attention Network for Multi-Lesion Segmentation in Medical Images
Xiangyu Zhao, Peng Zhang, Fan Song +5
The accurate segmentation of multiple types of lesions from adjacent tissues in medical images is significant in clinical practice. Convolutional neural networks (CNNs) based on th…
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
Zizhang Wu, Xinyuan Chen, Fan Song +4
Pedestrian detection under valet parking scenarios is fundamental for autonomous driving. However, the presence of pedestrians can be manifested in a variety of ways and postures u…
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving
Zizhang Wu, Chenxin Yuan, Hongyang Wei +2
Autonomous driving systems require many images for analyzing the surrounding environment. However, there is fewer data protection for private information among these captured image…
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
Tianyi Zhang, Yunlu Feng, Yu Zhao +9
Pancreatic cancer is one of the most malignant cancers in the world, which deteriorates rapidly with very high mortality. The rapid on-site evaluation (ROSE) technique innovates th…
Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence
Xinquan Chen, Zhenyun Yin, Shan He +38
As large models evolve from conversational assistants into autonomous agents, challenges increasingly arise from long-horizon decision making, tool use, and real environment intera…