110 citations · 584 across the 45 of their papers we have counts for
7 papers · 1 filter
A Generative Adversarial Framework for Optimizing Image Matting and Harmonization Simultaneously
Xuqian Ren, Yifan Liu, Chunlei Song
Image matting and image harmonization are two important tasks in image composition. Image matting, aiming to achieve foreground boundary details, and image harmonization, aiming to…
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Bowen Zhang, Yifan Liu, Zhi Tian +1
Semantic segmentation requires per-pixel prediction for a given image. Typically, the output resolution of a segmentation network is severely reduced due to the downsampling operat…
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
Jingjing Jiang, Ziyi Liu, Yifan Liu +2
Encouraging progress has been made towards Visual Question Answering (VQA) in recent years, but it is still challenging to enable VQA models to adaptively generalize to out-of-dist…
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan, Yifan Liu, Chunhua Shen +2
Recently, significant progress has been made on semantic segmentation. However, the success of supervised semantic segmentation typically relies on a large amount of labelled data,…
Generic Perceptual Loss for Modeling Structured Output Dependencies
Yifan Liu, Hao Chen, Yu Chen +2
The perceptual loss has been widely used as an effective loss term in image synthesis tasks including image super-resolution, and style transfer. It was believed that the success l…
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
Wei Yin, Yifan Liu, Chunhua Shen
Monocular depth prediction plays a crucial role in understanding 3D scene geometry. Although recent methods have achieved impressive progress in terms of evaluation metrics such as…
A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN
He Zhang, Zhixiong Nan, Tao Yang +2
In autonomous driving, perceiving the driving behaviors of surrounding agents is important for the ego-vehicle to make a reasonable decision. In this paper, we propose a neural net…