2 citations · 3 across the 5 of their papers we have counts for
5 papers
Implicit Bayes Adaptation: A Collaborative Transport Approach
Bo Jiang, Hamid Krim, Tianfu Wu +1
The power and flexibility of Optimal Transport (OT) have pervaded a wide spectrum of problems, including recent Machine Learning challenges such as unsupervised domain adaptation.…
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
Xianpeng Liu, Ce Zheng, Kelvin Cheng +3
The main challenge of monocular 3D object detection is the accurate localization of 3D center. Motivated by a new and strong observation that this challenge can be remedied by a 3D…
HoW-3D: Holistic 3D Wireframe Perception from a Single Image
Wenchao Ma, Bin Tan, Nan Xue +3
This paper studies the problem of holistic 3D wireframe perception (HoW-3D), a new task of perceiving both the visible 3D wireframes and the invisible ones from single-view 2D imag…
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
Xianpeng Liu, Nan Xue, Tianfu Wu
Monocular 3D object detection aims to localize 3D bounding boxes in an input single 2D image. It is a highly challenging problem and remains open, especially when no extra informat…
Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks
Bo Li, Tianfu Wu, Shuai Shao +2
Jointly integrating aspect ratio and context has been extensively studied and shown performance improvement in traditional object detection systems such as the DPMs. It, however, h…