461 citations · 1.3k across the 28 of their papers we have counts for
5 papers · 1 filter
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang, Wei-Lun Chao, Divyansh Garg +3
3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise bu…
A Deep-Learning-Based Fashion Attributes Detection Model
Menglin Jia, Yichen Zhou, Mengyun Shi +1
Analyzing fashion attributes is essential in the fashion design process. Current fashion forecasting firms, such as WGSN utilizes information from all around the world (from fashio…
Deep Fundamental Matrix Estimation without Correspondences
Omid Poursaeed, Guandao Yang, Aditya Prakash +4
Estimating fundamental matrices is a classic problem in computer vision. Traditional methods rely heavily on the correctness of estimated key-point correspondences, which can be no…
Resource Aware Person Re-identification across Multiple Resolutions
Yan Wang, Lequn Wang, Yurong You +6
Not all people are equally easy to identify: color statistics might be enough for some cases while others might require careful reasoning about high- and low-level details. However…
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang, Ross Girshick, Martial Hebert +1
Humans can quickly learn new visual concepts, perhaps because they can easily visualize or imagine what novel objects look like from different views. Incorporating this ability to…