Stan Birchfield

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera

We present a robotic grasping system that uses a single external monocul...
08/26/2020 ∙ by Jonathan Tremblay, et al. ∙ 0 ∙ share

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Improving Deep Stereo Network Generalization with Geometric Priors

End-to-end deep learning methods have advanced stereo vision in recent y...
08/25/2020 ∙ by Jialiang Wang, et al. ∙ 8 ∙ share

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RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies

Generating robot motion for multiple tasks in dynamic environments is ch...
07/25/2020 ∙ by Ching-An Cheng, et al. ∙ 0 ∙ share

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MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

Autonomous driving requires the inference of actionable information such...
06/09/2020 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

In comparison with person re-identification (ReID), which has been widel...
05/02/2020 ∙ by Zheng Tang, et al. ∙ 1 ∙ share

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Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies

Using simulation to train robot manipulation policies holds the promise ...
11/21/2019 ∙ by Visak Kumar, et al. ∙ 0 ∙ share

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Camera-to-Robot Pose Estimation from a Single Image

We present an approach for estimating the pose of a camera with respect ...
11/21/2019 ∙ by Timothy E. Lee, et al. ∙ 0 ∙ share

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DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

Teleoperation offers the possibility of imparting robotic systems with s...
10/07/2019 ∙ by Ankur Handa, et al. ∙ 20 ∙ share

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Directional Semantic Grasping of Real-World Objects: From Simulation to Reality

We present a deep reinforcement learning approach to grasp semantically ...
09/04/2019 ∙ by Shariq Iqbal, et al. ∙ 0 ∙ share

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Few-Shot Viewpoint Estimation

Viewpoint estimation for known categories of objects has been improved s...
05/13/2019 ∙ by Hung-Yu Tseng, et al. ∙ 4 ∙ share

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CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

Urban traffic optimization using traffic cameras as sensors is driving t...
03/21/2019 ∙ by Zheng Tang, et al. ∙ 8 ∙ share

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RMPflow: A Computational Graph for Automatic Motion Policy Generation

We develop a novel policy synthesis algorithm, RMPflow, based on geometr...
11/16/2018 ∙ by Ching-An Cheng, et al. ∙ 0 ∙ share

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Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

We present structured domain randomization (SDR), a variant of domain ra...
10/23/2018 ∙ by Aayush Prakash, et al. ∙ 0 ∙ share

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Robust Learning of Tactile Force Estimation through Robot Interaction

Current methods for estimating force from tactile sensor signals are eit...
10/15/2018 ∙ by Balakumar Sundaralingam, et al. ∙ 0 ∙ share

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Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Using synthetic data for training deep neural networks for robotic manip...
09/27/2018 ∙ by Jonathan Tremblay, et al. ∙ 0 ∙ share

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Region Growing Curriculum Generation for Reinforcement Learning

Learning a policy capable of moving an agent between any two states in t...
07/04/2018 ∙ by Artem Molchanov, et al. ∙ 0 ∙ share

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Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations

We present a system to infer and execute a human-readable program from a...
05/18/2018 ∙ by Jonathan Tremblay, et al. ∙ 0 ∙ share

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Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

We present a new dataset, called Falling Things (FAT), for advancing the...
04/18/2018 ∙ by Jonathan Tremblay, et al. ∙ 0 ∙ share

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Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

We present a system for training deep neural networks for object detecti...
04/18/2018 ∙ by Jonathan Tremblay, et al. ∙ 0 ∙ share

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On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

We revisit the problem of visual depth estimation in the context of auto...
03/26/2018 ∙ by Nikolai Smolyanskiy, et al. ∙ 0 ∙ share

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Efficient Hierarchical Graph-Based Segmentation of RGBD Videos

We present an efficient and scalable algorithm for segmenting 3D RGBD po...
01/26/2018 ∙ by Steven Hickson, et al. ∙ 0 ∙ share

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An Energy Minimization Approach to 3D Non-Rigid Deformable Surface Estimation Using RGBD Data

We propose an algorithm that uses energy mini- mization to estimate the ...
08/02/2017 ∙ by Bryan Willimon, et al. ∙ 0 ∙ share

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Stan Birchfield

Featured Co-authors

Ming-Hsuan Yang

Jan Kautz

Dieter Fox

Byron Boots

Ke Chen

Ming-Yu Liu

Wei Yang

Shuo Wang

Irfan Essa

Varun Jampani

Xiaodong Yang

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera

Improving Deep Stereo Network Generalization with Geometric Priors

RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies

MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies

Camera-to-Robot Pose Estimation from a Single Image

DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

Directional Semantic Grasping of Real-World Objects: From Simulation to Reality

Few-Shot Viewpoint Estimation

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

RMPflow: A Computational Graph for Automatic Motion Policy Generation

Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

Robust Learning of Tactile Force Estimation through Robot Interaction

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Region Growing Curriculum Generation for Reinforcement Learning

Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations

Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

Efficient Hierarchical Graph-Based Segmentation of RGBD Videos

An Energy Minimization Approach to 3D Non-Rigid Deformable Surface Estimation Using RGBD Data