18 citations · 27 across the 7 of their papers we have counts for
7 papers
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…
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…
Active Perception with A Monocular Camera for Multiscopic Vision
Weihao Yuan, Rui Fan, Michael Yu Wang +1
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation for robotic applications. Unlike multi-view stereo with ima…
Music-oriented Dance Video Synthesis with Pose Perceptual Loss
Xuanchi Ren, Haoran Li, Zijian Huang +1
We present a learning-based approach with pose perceptual loss for automatic music video generation. Our method can produce a realistic dance video that conforms to the beats and r…
Video Depth Estimation by Fusing Flow-to-Depth Proposals
Jiaxin Xie, Chenyang Lei, Zhuwen Li +2
Depth from a monocular video can enable billions of devices and robots with a single camera to see the world in 3D. In this paper, we present an approach with a differentiable flow…