28 citations · 80 across the 10 of their papers we have counts for
10 papers
Learning content and context with language bias for Visual Question Answering
Chao Yang, Su Feng, Dongsheng Li +3
Visual Question Answering (VQA) is a challenging multimodal task to answer questions about an image. Many works concentrate on how to reduce language bias which makes models answer…
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension
Chao Yang, Guoqing Wang, Dongsheng Li +3
Reference expression comprehension (REC) aims to find the location that the phrase refer to in a given image. Proposal generation and proposal representation are two effective tech…
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
Hongyu Liu, Bin Jiang, Yibing Song +2
Deep encoder-decoder based CNNs have advanced image inpainting methods for hole filling. While existing methods recover structures and textures step-by-step in the hole regions, th…
Multi-time scale identification for multi-energy system
Chao Yang, Yucai Zhu
Multi-energy systems have been leaping forward for its various benefits, e.g., energy conservation and emission reduction. Coupling components are capable of transmitting energy fr…
Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation
Bai Zhu, Yuanxin Ye, Chao Yang +3
Co-Registration of aerial imagery and Light Detection and Ranging (LiDAR) data is quilt challenging because the different imaging mechanism causes significant geometric and radiome…
One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block
Hongyu Liu, Bin Jiang, Wei Huang +1
Recent deep learning based image inpainting methods which utilize contextual information and two-stage architecture have exhibited remarkable performance. However, the two-stage ar…
Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network
Fangting Lin, Chao Yang, Huizhou Li +1
Recent deep learning based salient object detection methods which utilize both saliency and boundary features have achieved remarkable performance. However, most of them ignore the…
Constrained R-CNN: A general image manipulation detection model
Chao Yang, Huizhou Li, Fangting Lin +2
Recently, deep learning-based models have exhibited remarkable performance for image manipulation detection. However, most of them suffer from poor universality of handcrafted or p…
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing
Bin Jiang, Wenxuan Tu, Chao Yang +1
Semantic segmentation for lightweight object parsing is a very challenging task, because both accuracy and efficiency (e.g., execution speed, memory footprint or computational comp…
Coherent Semantic Attention for Image Inpainting
Hongyu Liu, Bin Jiang, Yi Xiao +1
The latest deep learning-based approaches have shown promising results for the challenging task of inpainting missing regions of an image. However, the existing methods often gener…