1 citations · 1 across the 8 of their papers we have counts for
11 papers
Learning Affordance Grounding from Exocentric Images
Hongchen Luo, Wei Zhai, Jing Zhang +2
Affordance grounding, a task to ground (i.e., localize) action possibility region in objects, which faces the challenge of establishing an explicit link with object parts due to th…
Location-Free Camouflage Generation Network
Yangyang Li, Wei Zhai, Yang Cao +1
Camouflage is a common visual phenomenon, which refers to hiding the foreground objects into the background images, making them briefly invisible to the human eye. Previous work ha…
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Kai Zhu, Wei Zhai, Yang Cao +2
Non-exemplar class-incremental learning is to recognize both the old and new classes when old class samples cannot be saved. It is a challenging task since representation optimizat…
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
Liangsheng Lu, Wei Zhai, Hongchen Luo +2
Affordance detection, which refers to perceiving objects with potential action possibilities in images, is a challenging task since the possible affordance depends on the person's…
On Exploring and Improving Robustness of Scene Text Detection Models
Shilian Wu, Wei Zhai, Yongrui Li +2
It is crucial to understand the robustness of text detection models with regard to extensive corruptions, since scene text detection techniques have many practical applications. Fo…
Learning Visual Affordance Grounding from Demonstration Videos
Hongchen Luo, Wei Zhai, Jing Zhang +2
Visual affordance grounding aims to segment all possible interaction regions between people and objects from an image/video, which is beneficial for many applications, such as robo…