2 citations · 6 across the 3 of their papers we have counts for
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cs.CV2023★ 2 cited
A Generalist FaceX via Learning Unified Facial Representation
Yue Han, Jiangning Zhang, Junwei Zhu +7
This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously. To achieve this goal, we initially formulate a unified…
cs.CV2023★ 2 cited
Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training
Runnan Chen, Xinge Zhu, Nenglun Chen +6
Current successful methods of 3D scene perception rely on the large-scale annotated point cloud, which is tedious and expensive to acquire. In this paper, we propose Model2Scene, a…
cs.CV2023★ 2 cited
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment
Ji Zhang, Xiao Wu, Zhi-Qi Cheng +2
Anomaly segmentation plays a pivotal role in identifying atypical objects in images, crucial for hazard detection in autonomous driving systems. While existing methods demonstrate…