9 papers
TAPIP3D: Tracking Any Point in Persistent 3D Geometry
Bowei Zhang, Lei Ke, Adam W. Harley +1
We introduce TAPIP3D, a novel approach for long-term 3D point tracking in monocular RGB and RGB-D videos. TAPIP3D represents videos as camera-stabilized spatio-temporal feature clo…
PointSt3R: Point Tracking through 3D Grounded Correspondence
Rhodri Guerrier, Adam W. Harley, Dima Damen
Recent advances in foundational 3D reconstruction models, such as DUSt3R and MASt3R, have shown great potential in 2D and 3D correspondence in static scenes. In this paper, we prop…
Generative Point Tracking with Flow Matching
Mattie Tesfaldet, Adam W. Harley, Konstantinos G. Derpanis +2
Tracking a point through a video can be a challenging task due to uncertainty arising from visual obfuscations, such as appearance changes and occlusions. Although current state-of…
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…
EgoPoints: Advancing Point Tracking for Egocentric Videos
Ahmad Darkhalil, Rhodri Guerrier, Adam W. Harley +1
We introduce EgoPoints, a benchmark for point tracking in egocentric videos. We annotate 4.7K challenging tracks in egocentric sequences. Compared to the popular TAP-Vid-DAVIS eval…
Support-Set Context Matters for Bongard Problems
Nikhil Raghuraman, Adam W. Harley, Leonidas Guibas
Current machine learning methods struggle to solve Bongard problems, which are a type of IQ test that requires deriving an abstract "concept" from a set of positive and negative "s…