1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Group Orthogonal Low-Rank Adaptation for RGB-T Tracking
Zekai Shao, Yufan Hu, Jingyuan Liu +2
Parameter-efficient fine-tuning has emerged as a promising paradigm in RGB-T tracking, enabling downstream task adaptation by freezing pretrained parameters and fine-tuning only a…
cs.CV2025
Source-Free Domain Adaptive Semantic Segmentation of Remote Sensing Images with Diffusion-Guided Label Enrichment
Wenjie Liu, Hongmin Liu, Lixin Zhang +1
Research on unsupervised domain adaptation (UDA) for semantic segmentation of remote sensing images has been extensively conducted. However, research on how to achieve domain adapt…
cs.LG2024★ 1 cited
ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
Yinke Dong, Haifeng Yuan, Hongkun Liu +4
Accurate motion prediction of pedestrians, cyclists, and other surrounding vehicles (all called agents) is very important for autonomous driving. Most existing works capture map in…