2 papers
cs.CV2025
Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph Networks
Hui Chen, Jingjing Jiang, Nanning Zheng
Inferring the unseen attribute-object composition is critical to make machines learn to decompose and compose complex concepts like people. Most existing methods are limited to the…
cs.CV2024
FBLNet: FeedBack Loop Network for Driver Attention Prediction
Yilong Chen, Zhixiong Nan, Tao Xiang
The problem of predicting driver attention from the driving perspective is gaining increasing research focus due to its remarkable significance for autonomous driving and assisted…