2.4k citations · 8.4k across the 129 of their papers we have counts for
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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…
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas +10
We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic categori…
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song, Yu Xiang, Stefanie Jegelka +1
Learning the distance metric between pairs of examples is of great importance for learning and visual recognition. With the remarkable success from the state of the art convolution…
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…
Semantic Cross-View Matching
Francesco Castaldo, Amir Zamir, Roland Angst +2
Matching cross-view images is challenging because the appearance and viewpoints are significantly different. While low-level features based on gradient orientations or filter respo…
Action Recognition by Hierarchical Mid-level Action Elements
Tian Lan, Yuke Zhu, Amir Roshan Zamir +1
Realistic videos of human actions exhibit rich spatiotemporal structures at multiple levels of granularity: an action can always be decomposed into multiple finer-grained elements…
Deep Learning for Single-View Instance Recognition
David Held, Sebastian Thrun, Silvio Savarese
Deep learning methods have typically been trained on large datasets in which many training examples are available. However, many real-world product datasets have only a small numbe…
Unsupervised Semantic Parsing of Video Collections
Ozan Sener, Amir Zamir, Silvio Savarese +1
Human communication typically has an underlying structure. This is reflected in the fact that in many user generated videos, a starting point, ending, and certain objective steps b…
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition
Roozbeh Mottaghi, Yu Xiang, Silvio Savarese
Despite the fact that object detection, 3D pose estimation, and sub-category recognition are highly correlated tasks, they are usually addressed independently from each other becau…