Search Results for author:
Found 11 papers, 1 papers with code
Understanding Bayesian Rooms Using Composite 3D Object Models
For example, we model a chair as a set of four legs, a seat and a backrest.
Articulated motion discovery using pairs of trajectories
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers in the wild.
Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video
Given unstructured videos of deformable objects, we automatically recover spatiotemporal correspondences to map one object to another (such as animals in the wild).
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video
On behavior discovery, we outperform the state-of-the-art Improved DTF descriptor.
Discovering the Physical Parts of an Articulated Object Class From Multiple Videos
We propose a motion-based method to discover the physical parts of an articulated object class (e. g. head/torso/leg of a horse) from multiple videos.
Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps
In this paper we present the first published end-to-end production computer-vision system for powering city-scale shared augmented reality experiences on mobile devices.
End-to-end learning of keypoint detection and matching for relative pose estimation
We demonstrate our method for the task of visual localization of a query image within a database of images with known pose.
What data do we need for training an AV motion planner?
If cheaper sensors could be used for collection instead, data availability would go up, which is crucial in a field where data volume requirements are large and availability is small.
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
We train our system directly from 1, 000 hours of driving logs and measure both realism, reactivity of the simulation as the two key properties of the simulation.
Autonomy 2.0: Why is self-driving always 5 years away?
Despite the numerous successes of machine learning over the past decade (image recognition, decision-making, NLP, image synthesis), self-driving technology has not yet followed the same trend.
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data
This motivates the use of commodity sensors like cameras for data collection, which are an order of magnitude cheaper than HD sensor suites, but offer lower fidelity.
