129 citations · 188 across the 21 of their papers we have counts for
48 papers · 1 filter
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
Georgy Ponimatkin, Nermin Samet, Yang Xiao +3
We propose a simple, yet powerful approach for unsupervised object segmentation in videos. We introduce an objective function whose minimum represents the mask of the main salient…
Long-Lived Accurate Keypoints in Event Streams
Philippe Chiberre, Etienne Perot, Amos Sironi +1
We present a novel end-to-end approach to keypoint detection and tracking in an event stream that provides better precision and much longer keypoint tracks than previous methods. T…
PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking
Van Nguyen Nguyen, Yuming Du, Yang Xiao +2
Estimating the relative pose of a new object without prior knowledge is a hard problem, while it is an ability very much needed in robotics and Augmented Reality. We present a meth…
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…
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution
Yuming Du, Wen Guo, Yang Xiao +1
In this report, we introduce our (pretty straightforard) two-step "detect-then-match" video instance segmentation method. The first step performs instance segmentation for each fra…
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
Yuming Du, Wen Guo, Yang Xiao +1
We describe our two-stage instance segmentation framework we use to compete in the challenge. The first stage of our framework consists of an object detector, which generates objec…