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03/12/2023
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task
Neural networks are omnipresent, but remain poorly understood. Their inc...
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04/11/2022
Assessing hierarchies by their consistent segmentations
Recent segmentation approaches start by creating a hierarchy of nested i...
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10/12/2020
On the Minimal Recognizable Image Patch
In contrast to human vision, common recognition algorithms often fail on...
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04/24/2020
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
We introduce a new deep learning method for point cloud comparison. Our ...
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11/17/2019
Enhancing Generic Segmentation with Learned Region Representations
Current successful approaches for generic (non-semantic) segmentation re...
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09/25/2019
Learning Pixel Representations for Generic Segmentation
Deep learning approaches to generic (non-semantic) segmentation have so ...
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07/29/2019
Seeing Things in Random-Dot Videos
The human visual system correctly groups features and interprets videos ...
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12/03/2018
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
In this paper, we propose a normal estimation method for unstructured 3D...
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11/22/2017
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks
The point cloud is gaining prominence as a method for representing 3D sh...
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07/14/2017
Inner-Scene Similarities as a Contextual Cue for Object Detection
Using image context is an effective approach for improving object detect...
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04/24/2015