64 citations · 113 across the 22 of their papers we have counts for
5 papers · 1 filter
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation
Chen Zhao, Yinlin Hu, Mathieu Salzmann
Object location prior is critical for the standard 6D object pose estimation setting. The prior can be used to initialize the 3D object translation and facilitate 3D object rotatio…
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
Shuxuan Guo, Yinlin Hu, Jose M. Alvarez +1
Knowledge distillation facilitates the training of a compact student network by using a deep teacher one. While this has achieved great success in many tasks, it remains completely…
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
Van Nguyen Nguyen, Yinlin Hu, Yang Xiao +2
We present a method that can recognize new objects and estimate their 3D pose in RGB images even under partial occlusions. Our method requires neither a training phase on these obj…
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
Yinlin Hu, Pascal Fua, Mathieu Salzmann
Most recent 6D object pose estimation methods, including unsupervised ones, require many real training images. Unfortunately, for some applications, such as those in space or deep…
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects
Chen Zhao, Yinlin Hu, Mathieu Salzmann
In this paper, we tackle the task of estimating the 3D orientation of previously-unseen objects from monocular images. This task contrasts with the one considered by most existing…