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Deep Two-View Structure-from-Motion Revisited
Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruc...
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Multi-view Fusion for Multi-level Robotic Scene Understanding
We present a system for multi-level scene awareness for robotic manipula...
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Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs
We present a visually grounded hierarchical planning algorithm for long-...
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Displacement-Invariant Cost Computation for Efficient Stereo Matching
Although deep learning-based methods have dominated stereo matching lead...
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Fast Uncertainty Quantification for Deep Object Pose Estimation
Deep learning-based object pose estimators are often unreliable and over...
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Joint Space Control via Deep Reinforcement Learning
The dominant way to control a robot manipulator uses hand-crafted differ...
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Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
We present a robotic grasping system that uses a single external monocul...
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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...
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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...
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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...
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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...
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Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
Using simulation to train robot manipulation policies holds the promise ...
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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 ...
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DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
Teleoperation offers the possibility of imparting robotic systems with s...
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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 ...
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Few-Shot Viewpoint Estimation
Viewpoint estimation for known categories of objects has been improved s...
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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...
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RMPflow: A Computational Graph for Automatic Motion Policy Generation
We develop a novel policy synthesis algorithm, RMPflow, based on geometr...
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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...
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Robust Learning of Tactile Force Estimation through Robot Interaction
Current methods for estimating force from tactile sensor signals are eit...
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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...
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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...
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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...
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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...
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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...
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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...
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Efficient Hierarchical Graph-Based Segmentation of RGBD Videos
We present an efficient and scalable algorithm for segmenting 3D RGBD po...
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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 ...
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