5 papers
LookOut: Real-World Humanoid Egocentric Navigation
Boxiao Pan, Adam W. Harley, C. Karen Liu +1
The ability to predict collision-free future trajectories from egocentric observations is crucial in applications such as humanoid robotics, VR / AR, and assistive navigation. In t…
AllTracker: Efficient Dense Point Tracking at High Resolution
Adam W. Harley, Yang You, Xinglong Sun +11
We introduce AllTracker: a model that estimates long-range point tracks by way of estimating the flow field between a query frame and every other frame of a video. Unlike existing…
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields
Haodi He, Colton Stearns, Adam W. Harley +1
Large-scale vision foundation models such as Segment Anything (SAM) demonstrate impressive performance in zero-shot image segmentation at multiple levels of granularity. However, t…
Refining Pre-Trained Motion Models
Xinglong Sun, Adam W. Harley, Leonidas J. Guibas
Given the difficulty of manually annotating motion in video, the current best motion estimation methods are trained with synthetic data, and therefore struggle somewhat due to a tr…
PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments
Yang You, Kai Xiong, Zhening Yang +7
We introduce PACE (Pose Annotations in Cluttered Environments), a large-scale benchmark designed to advance the development and evaluation of pose estimation methods in cluttered s…