activity
20132015
most citedRobot Language Learning, Generation, and Comprehension

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2015★ 1 cited

Collecting and Annotating the Large Continuous Action Dataset

Daniel Paul Barrett, Ran Xu, Haonan Yu +1

We make available to the community a new dataset to support action-recognition research. This dataset is different from prior datasets in several key ways. It is significantly larg…

cs.RO2015★ 3 cited

Robot Language Learning, Generation, and Comprehension

Daniel Paul Barrett, Scott Alan Bronikowski, Haonan Yu +1

We present a unified framework which supports grounding natural-language semantics in robotic driving. This framework supports acquisition (learning grounded meanings of nouns and…

cs.CV2014

A Faster Method for Tracking and Scoring Videos Corresponding to Sentences

Haonan Yu, Daniel P. Barrett, Jeffrey Mark Siskind

Prior work presented the sentence tracker, a method for scoring how well a sentence describes a video clip or alternatively how well a video clip depicts a sentence. We present an…

cs.CV2013

Saying What You're Looking For: Linguistics Meets Video Search

Andrei Barbu, N. Siddharth, Jeffrey Mark Siskind

We present an approach to searching large video corpora for video clips which depict a natural-language query in the form of a sentence. This approach uses compositional semantics…

cs.CV2013

Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance

Daniel Paul Barrett, Jeffrey Mark Siskind

We propose a method which can detect events in videos by modeling the change in appearance of the event participants over time. This method makes it possible to detect events which…