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Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Detecting objects and estimating their viewpoint in images are key tasks...
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Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference Application
We formalize concepts around geometric occlusion in 2D images (i.e., ign...
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FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
We propose and study a method called FLOT that estimates scene flow on p...
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Spherical Perspective on Learning with Batch Norm
Batch Normalization (BN) is a prominent deep learning technique. In spit...
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LightConvPoint: convolution for points
Recent state-of-the-art methods for point cloud semantic segmentation ar...
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Surface Reconstruction from 3D Line Segments
In man-made environments such as indoor scenes, when point-based 3D reco...
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Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Most deep pose estimation methods need to be trained for specific object...
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Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
Localizing an object accurately with respect to a robot is a key step fo...
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Robust SfM with Little Image Overlap
Usual Structure-from-Motion (SfM) techniques require at least trifocal o...
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Crafting a multi-task CNN for viewpoint estimation
Convolutional Neural Networks (CNNs) were recently shown to provide stat...
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Efficient 2D and 3D Facade Segmentation using Auto-Context
This paper introduces a fast and efficient segmentation technique for 2D...
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Convolutional Neural Networks for joint object detection and pose estimation: A comparative study
In this paper we study the application of convolutional neural networks ...
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