most citedRethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

28 citations · 55 across the 6 of their papers we have counts for

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cs.CV20203 cited

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…

cs.CV20203 cited

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…

cs.CV202028 cited

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…

cs.CV20191 cited

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…

cs.CV20192 cited

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…

cs.CV2019

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…