research
∙
10/28/2020
The Amazing Race TM: Robot Edition
State-of-the-art natural-language-driven autonomous-navigation systems g...
share
research
∙
04/09/2020
Object classification from randomized EEG trials
New results suggest strong limits to the feasibility of classifying huma...
research
∙
12/18/2018
Training on the test set? An analysis of Spampinato et al. [31]
A recent paper [31] claims to classify brain processing evoked in subjec...
research
∙
08/22/2017
Divide-and-Conquer Checkpointing for Arbitrary Programs with No User Annotation
Classical reverse-mode automatic differentiation (AD) imposes only a sma...
research
∙
11/10/2016
Tricks from Deep Learning
The deep learning community has devised a diverse set of methods to make...
research
∙
11/10/2016
DiffSharp: An AD Library for .NET Languages
DiffSharp is an algorithmic differentiation or automatic differentiation...
research
∙
11/10/2016
Efficient Implementation of a Higher-Order Language with Built-In AD
We show that Automatic Differentiation (AD) operators can be provided in...
research
∙
11/10/2016
Binomial Checkpointing for Arbitrary Programs with No User Annotation
Heretofore, automatic checkpointing at procedure-call boundaries, to red...
research
∙
11/24/2015
DiffSharp: Automatic Differentiation Library
In this paper we introduce DiffSharp, an automatic differentiation (AD) ...
research
∙
08/25/2015
Robot Language Learning, Generation, and Comprehension
We present a unified framework which supports grounding natural-language...
research
∙
06/05/2015
Sentence Directed Video Object Codetection
We tackle the problem of video object codetection by leveraging the weak...
research
∙
11/14/2014
A Faster Method for Tracking and Scoring Videos Corresponding to Sentences
Prior work presented the sentence tracker, a method for scoring how well...
research
∙
09/20/2013
Saying What You're Looking For: Linguistics Meets Video Search
We present an approach to searching large video corpora for video clips ...
research
∙
08/19/2013
Seeing What You're Told: Sentence-Guided Activity Recognition In Video
We present a system that demonstrates how the compositional structure of...
research
∙
06/21/2013
Discriminative Training: Learning to Describe Video with Sentences, from Video Described with Sentences
We present a method for learning word meanings from complex and realisti...
research
∙
06/20/2013
Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance
We propose a method which can detect events in videos by modeling the ch...
research
∙
04/16/2012
Large-Scale Automatic Labeling of Video Events with Verbs Based on Event-Participant Interaction
We present an approach to labeling short video clips with English verbs ...
research
∙
04/12/2012
Seeing Unseeability to See the Unseeable
We present a framework that allows an observer to determine occluded por...
research
∙
04/12/2012
Video In Sentences Out
We present a system that produces sentential descriptions of video: who ...
research
∙
04/12/2012
