226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Baidu (China)CN25 papers
- University of KentuckyUS7 papers
- Beihang UniversityCN4 papers
- Northwestern Polytechnical UniversityCN4 papers
- University of Southern CaliforniaUS4 papers
- Beijing Institute of TechnologyCN3 papers
- Chinese Academy of SciencesCN2 papers
- Institute of AutomationCN2 papers
- Macau University of Science and TechnologyMO2 papers
- Nanjing UniversityCN2 papers
- Peking UniversityCN2 papers
- Rutgers, The State University of New JerseyUS2 papers
6 papers · 1 filter
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax
Peng Lu, Gao Huang, Hangyu Lin +3
This paper proposes a novel approach for Sketch-Based Image Retrieval (SBIR), for which the key is to bridge the gap between sketches and photos in terms of the data representation…
Part-level Car Parsing and Reconstruction from Single Street View
Qichuan Geng, Hong Zhang, Xinyu Huang +5
Part information has been shown to be resistant to occlusions and viewpoint changes, which is beneficial for various vision-related tasks. However, we found very limited work in ca…
Augmented LiDAR Simulator for Autonomous Driving
Jin Fang, Dingfu Zhou, Feilong Yan +5
In Autonomous Driving (AD), detection and tracking of obstacles on the roads is a critical task. Deep-learning based methods using annotated LiDAR data have been the most widely ad…
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
Zhenheng Yang, Peng Wang, Yang Wang +2
Learning to estimate 3D geometry in a single image by watching unlabeled videos via deep convolutional network has made significant process recently. Current state-of-the-art (SOTA…
View Extrapolation of Human Body from a Single Image
Hao Zhu, Hao Su, Peng Wang +2
We study how to synthesize novel views of human body from a single image. Though recent deep learning based methods work well for rigid objects, they often fail on objects with lar…
LEGO: Learning Edge with Geometry all at Once by Watching Videos
Zhenheng Yang, Peng Wang, Yang Wang +2
Learning to estimate 3D geometry in a single image by watching unlabeled videos via deep convolutional network is attracting significant attention. In this paper, we introduce a "3…