80 citations · 426 across the 52 of their papers we have counts for
10 papers · 2 filters
Video Deblurring by Fitting to Test Data
Xuanchi Ren, Zian Qian, Qifeng Chen
Motion blur in videos captured by autonomous vehicles and robots can degrade their perception capability. In this work, we present a novel approach to video deblurring by fitting a…
Blind Video Temporal Consistency via Deep Video Prior
Chenyang Lei, Yazhou Xing, Qifeng Chen
Applying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and g…
Self-supervised Object Tracking with Cycle-consistent Siamese Networks
Weihao Yuan, Michael Yu Wang, Qifeng Chen
Self-supervised learning for visual object tracking possesses valuable advantages compared to supervised learning, such as the non-necessity of laborious human annotations and onli…
Fully Convolutional Networks for Continuous Sign Language Recognition
Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen +1
Continuous sign language recognition (SLR) is a challenging task that requires learning on both spatial and temporal dimensions of signing frame sequences. Most recent work accompl…
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Duo Li, Anbang Yao, Qifeng Chen
Despite their strong modeling capacities, Convolutional Neural Networks (CNNs) are often scale-sensitive. For enhancing the robustness of CNNs to scale variance, multi-scale featur…
Learning to Learn Parameterized Classification Networks for Scalable Input Images
Duo Li, Anbang Yao, Qifeng Chen
Convolutional Neural Networks (CNNs) do not have a predictable recognition behavior with respect to the input resolution change. This prevents the feasibility of deployment on diff…