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cs.CV2025
NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation
Peiran Xu, Xicheng Gong, Yadong MU
In this work we concentrate on the task of goal-oriented Vision-and-Language Navigation (VLN). Existing methods often make decisions based on historical information, overlooking th…
cs.CV2025
Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors
Peiran Xu, Yadong Mu
In this work, we focus on the task of weakly supervised affordance grounding, where a model is trained to identify affordance regions on objects using human-object interaction imag…
cs.CV2023★ 7 cited
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion
Peiran Xu, Yadong Mu
Given a group of images, co-salient object detection (CoSOD) aims to highlight the common salient object in each image. There are two factors closely related to the success of this…