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20112023
most citedGaussian Processes for Data-Efficient Learning in Robotics and Control

667 citations · 2.8k across the 127 of their papers we have counts for

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Showing 2017 · cs.CVShow all

7 papers · 2 filters

cs.CV2017

IQA: Visual Question Answering in Interactive Environments

Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari +3

We introduce Interactive Question Answering (IQA), the task of answering questions that require an autonomous agent to interact with a dynamic visual environment. IQA presents the…

cs.CV2017

Dynamic High Resolution Deformable Articulated Tracking

Aaron Walsman, Weilin Wan, Tanner Schmidt +1

The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches…

cs.CV2017★ 132 cited

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Yu Xiang, Tanner Schmidt, Venkatraman Narayanan +1

Estimating the 6D pose of known objects is important for robots to interact with the real world. The problem is challenging due to the variety of objects as well as the complexity…

cs.CV2017★ 28 cited

Visual Semantic Planning using Deep Successor Representations

Yuke Zhu, Daniel Gordon, Eric Kolve +5

A crucial capability of real-world intelligent agents is their ability to plan a sequence of actions to achieve their goals in the visual world. In this work, we address the proble…

cs.CV2017

Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

Daniel Gordon, Ali Farhadi, Dieter Fox

Robust object tracking requires knowledge and understanding of the object being tracked: its appearance, its motion, and how it changes over time. A tracker must be able to modify…

cs.CV2017★ 6 cited

DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks

Yu Xiang, Dieter Fox

3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or…