5 papers
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…
One-Shot Object Affordance Detection in the Wild
Wei Zhai, Hongchen Luo, Jing Zhang +2
Affordance detection refers to identifying the potential action possibilities of objects in an image, which is a crucial ability for robot perception and manipulation. To empower r…
One-Shot Affordance Detection
Hongchen Luo, Wei Zhai, Jing Zhang +2
Affordance detection refers to identifying the potential action possibilities of objects in an image, which is an important ability for robot perception and manipulation. To empowe…
Nighttime Dehazing with a Synthetic Benchmark
Jing Zhang, Yang Cao, Zheng-Jun Zha +1
Increasing the visibility of nighttime hazy images is challenging because of uneven illumination from active artificial light sources and haze absorbing/scattering. The absence of…
Deep Time-Frequency Representation and Progressive Decision Fusion for ECG Classification
Jing Zhang, Jing Tian, Yang Cao +2
Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and diagnosing patients' cardiac conditions, increasing the success rate of the treatment. Classifyin…