146 citations · 177 across the 9 of their papers we have counts for
8 papers · 1 filter
Evaluate Geometry of Radiance Fields with Low-frequency Color Prior
Qihang Fang, Yafei Song, Keqiang Li +4
A radiance field is an effective representation of 3D scenes, which has been widely adopted in novel-view synthesis and 3D reconstruction. It is still an open and challenging probl…
SEKD: Self-Evolving Keypoint Detection and Description
Yafei Song, Ling Cai, Jia Li +2
Researchers have attempted utilizing deep neural network (DNN) to learn novel local features from images inspired by its recent successes on a variety of vision tasks. However, exi…
Accelerating Neural Network Inference by Overflow Aware Quantization
Hongwei Xie, Shuo Zhang, Huanghao Ding +5
The inherent heavy computation of deep neural networks prevents their widespread applications. A widely used method for accelerating model inference is quantization, by replacing t…
Single Image Dehazing Using Ranking Convolutional Neural Network
Yafei Song, Jia Li, Xiaogang Wang +1
Single image dehazing, which aims to recover the clear image solely from an input hazy or foggy image, is a challenging ill-posed problem. Analysing existing approaches, the common…
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
Yafei Song, Di Zhu, Jia Li +2
In recent years, camera-based localization has been widely used for robotic applications, and most proposed algorithms rely on local features extracted from recorded images. For be…
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Kui Fu, Peipei Shi, Yafei Song +3
Large convolutional neural network models have recently demonstrated impressive performance on video attention prediction. Conventionally, these models are with intensive computati…
Complementary Segmentation of Primary Video Objects with Reversible Flows
Jia Li, Junjie Wu, Anlin Zheng +3
Segmenting primary objects in a video is an important yet challenging problem in computer vision, as it exhibits various levels of foreground/background ambiguities. To reduce such…
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification
Jia Li, Yafei Song, Jianfeng Zhu +5
Many advances of deep learning techniques originate from the efforts of addressing the image classification task on large-scale datasets. However, the construction of such clean da…