9 citations · 10 across the 3 of their papers we have counts for
4 papers
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
Mingtao Feng, Kendong Liu, Liang Zhang +3
Saliency detection with light field images is becoming attractive given the abundant cues available, however, this comes at the expense of large-scale pixel level annotated data wh…
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
Adel Ahmadyan, Liangkai Zhang, Jianing Wei +2
3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval. We introduce the Objectron dataset to advanc…
Instant 3D Object Tracking with Applications in Augmented Reality
Adel Ahmadyan, Tingbo Hou, Jianing Wei +3
Tracking object poses in 3D is a crucial building block for Augmented Reality applications. We propose an instant motion tracking system that tracks an object's pose in space (repr…
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision
Tingbo Hou, Adel Ahmadyan, Liangkai Zhang +2
In this paper, we address the problem of detecting unseen objects from RGB images and estimating their poses in 3D. We propose two mobile friendly networks: MobilePose-Base and Mob…