4 citations · 21 across the 54 of their papers we have counts for
6 papers · 1 filter
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu, Kai Zhu, Kecheng Zheng +2
Full-spectrum out-of-distribution (F-OOD) detection aims to accurately recognize in-distribution (ID) samples while encountering semantic and covariate shifts simultaneously. Howev…
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
Yuhang Yang, Wei Zhai, Hongchen Luo +2
Learning 3D human-object interaction relation is pivotal to embodied AI and interaction modeling. Most existing methods approach the goal by learning to predict isolated interactio…
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
Wei Zhai, Pingyu Wu, Kai Zhu +3
Weakly supervised object localization and semantic segmentation aim to localize objects using only image-level labels. Recently, a new paradigm has emerged by generating a foregrou…
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Fan Lu, Kai Zhu, Wei Zhai +2
Semantically coherent out-of-distribution (SCOOD) detection aims to discern outliers from the intended data distribution with access to unlabeled extra set. The coexistence of in-d…
Spatial-Aware Token for Weakly Supervised Object Localization
Pingyu Wu, Wei Zhai, Yang Cao +2
Weakly supervised object localization (WSOL) is a challenging task aiming to localize objects with only image-level supervision. Recent works apply visual transformer to WSOL and a…
Grounding 3D Object Affordance from 2D Interactions in Images
Yuhang Yang, Wei Zhai, Hongchen Luo +3
Grounding 3D object affordance seeks to locate objects' ''action possibilities'' regions in the 3D space, which serves as a link between perception and operation for embodied agent…