107 citations · 139 across the 6 of their papers we have counts for
7 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…
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Wen Wang, Yang Cao, Jing Zhang +4
Detection transformers have recently shown promising object detection results and attracted increasing attention. However, how to develop effective domain adaptation techniques to…
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…
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
Yang Wang, Yang Cao, Zheng-Jun Zha +4
Contrast enhancement and noise removal are coupled problems for low-light image enhancement. The existing Retinex based methods do not take the coupling relation into consideration…
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
Jing Zhang, Yang Cao, Yang Wang +2
Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statis…
Nighttime Haze Removal with Illumination Correction
Jing Zhang, Yang Cao, Zengfu Wang
Haze removal is important for computational photography and computer vision applications. However, most of the existing methods for dehazing are designed for daytime images, and ca…