533 citations · 1k across the 30 of their papers we have counts for
9 papers · 1 filter
Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions
Chenxia Wu, Jiemi Zhang, Bart Selman +2
We present a robotic system that watches a human using a Kinect v2 RGB-D sensor, detects what he forgot to do while performing an activity, and if necessary reminds the person usin…
Hierarchical classification of e-commerce related social media
Matthew Long, Aditya Jami, Ashutosh Saxena
In this paper, we attempt to classify tweets into root categories of the Amazon browse node hierarchy using a set of tweets with browse node ID labels, a much larger set of tweets…
Exploring Correlation between Labels to improve Multi-Label Classification
Amit Garg, Jonathan Noyola, Romil Verma +2
This paper attempts multi-label classification by extending the idea of independent binary classification models for each output label, and exploring how the inherent correlation b…
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese +1
Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while many problems in…
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Ashesh Jain, Avi Singh, Hema S Koppula +2
Anticipating the future actions of a human is a widely studied problem in robotics that requires spatio-temporal reasoning. In this work we propose a deep learning approach for ant…
Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories
Jaeyong Sung, Ian Lenz, Ashutosh Saxena
A robot operating in a real-world environment needs to perform reasoning over a variety of sensor modalities such as vision, language and motion trajectories. However, it is extrem…