58 citations · 120 across the 10 of their papers we have counts for
9 papers · 1 filter
NeRD: Neural 3D Reflection Symmetry Detector
Yichao Zhou, Shichen Liu, Yi Ma
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry…
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Cheng Yang, Jia Zheng, Xili Dai +3
Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image. Most previous work relies on the cuboid-shape prior. This paper…
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
Yichao Zhou, Jingwei Huang, Xili Dai +4
We present HoliCity, a city-scale 3D dataset with rich structural information. Currently, this dataset has 6,300 real-world panoramas of resolution that are acc…
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi, Xiaolong Wang, Deepak Pathak +2
Learning long-term dynamics models is the key to understanding physical common sense. Most existing approaches on learning dynamics from visual input sidestep long-term predictions…
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction
Yichao Zhou, Shichen Liu, Yi Ma
3D reconstruction from a single RGB image is a challenging problem in computer vision. Previous methods are usually solely data-driven, which lead to inaccurate 3D shape recovery a…
Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang +2
Initialization, normalization, and skip connections are believed to be three indispensable techniques for training very deep convolutional neural networks and obtaining state-of-th…