13 citations · 35 across the 24 of their papers we have counts for
5 papers · 1 filter
Efficient UAV trajectory prediction: A multi-modal deep diffusion framework
Yuan Gao, Xinyu Guo, Wenjing Xie +4
To meet the requirements for managing unauthorized UAVs in the low-altitude economy, a multi-modal UAV trajectory prediction method based on the fusion of LiDAR and millimeter-wave…
ReinPath: A Multimodal Reinforcement Learning Approach for Pathology
Kangcheng Zhou, Jun Jiang, Qing Zhang +3
Interpretability is significant in computational pathology, leading to the development of multimodal information integration from histopathological image and corresponding text dat…
Stage-wise Adaptive Label Distribution for Facial Age Estimation
Bo Wu, Zhiqi Ai, Jun Jiang +2
Label ambiguity poses a significant challenge in age estimation tasks. Most existing methods address this issue by modeling correlations between adjacent age groups through label d…
Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline
Shiyi Mu, Zichong Gu, Hanqi Lyu +2
3D detection technology is widely used in the field of autonomous driving, with its application scenarios gradually expanding from enclosed highways to open conventional roads. For…
Great X: A Unified Multi-Modal Simulator Bridging the Sim2Real Gap for 6G
Yuan Gao, Kongwu Huang, Jun Jiang +2
Large-scale, precisely synchronized multi-modal datasets are critical for data-driven sixth-generation (6G) wireless research, yet real-world collection remains costly and difficul…