1 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation
Jialei Chen, Wuhao Xu, Sipeng He +2
Vast and high-quality data are essential for end-to-end autonomous driving systems. However, current driving data is mainly collected by vehicles, which is expensive and inefficien…
Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation
Jialei Chen, Xu Zheng, Danda Pani Paudel +3
Zero-shot Semantic Segmentation (ZSS) aims to segment both seen and unseen classes using supervision from only seen classes. Beyond adaptation-based methods, distillation-based app…
Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation
Jialei Chen, Daisuke Deguchi, Chenkai Zhang +1
Zero-shot Panoptic Segmentation (ZPS) aims to recognize foreground instances and background stuff without images containing unseen categories in training. Due to the visual data sp…
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Xu Zheng, Chong Fu, Haoyu Xie +3
Semi-supervised learning has made significant strides in the medical domain since it alleviates the heavy burden of collecting abundant pixel-wise annotated data for semantic segme…