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04/20/2023
Securing Neural Networks with Knapsack Optimization
Deep learning inference brings together the data and the Convolutional N...
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04/14/2023
Prior based Sampling for Adaptive LiDAR
We propose SampleDepth, a Convolutional Neural Network (CNN), that is su...
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11/29/2022
Taming a Generative Model
Generative models are becoming ever more powerful, being able to synthes...
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11/25/2022
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
Scene flow estimation is a long-standing problem in computer vision, whe...
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11/24/2022
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
A triangular mesh is one of the most popular 3D data representations. As...
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11/20/2022
Normalizing Flows for Human Pose Anomaly Detection
Video anomaly detection is an ill-posed problem because it relies on man...
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10/11/2022
Aggregating Layers for Deepfake Detection
The increasing popularity of facial manipulation (Deepfakes) and synthet...
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04/16/2022
Stress-Testing LiDAR Registration
Point cloud registration (PCR) is an important task in many fields inclu...
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01/25/2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation
How many labeled pixels are needed to segment an image, without any prio...
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12/08/2021
Transformaly – Two (Feature Spaces) Are Better Than One
Anomaly detection is a well-established research area that seeks to iden...
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11/21/2021
Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models
Deep learning-based facial recognition (FR) models have demonstrated sta...
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10/16/2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
We present a new method for real-time non-rigid dense correspondence bet...
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10/06/2021
DeepBBS: Deep Best Buddies for Point Cloud Registration
Recently, several deep learning approaches have been proposed for point ...
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07/20/2021
kNet: A Deep kNN Network To Handle Label Noise
Deep Neural Networks require large amounts of labeled data for their tra...
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01/28/2021
Reducing ReLU Count for Privacy-Preserving CNN Speedup
Privacy-Preserving Machine Learning algorithms must balance classificati...
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12/10/2020
Geometric Adversarial Attacks and Defenses on 3D Point Clouds
Deep neural networks are prone to adversarial examples that maliciously ...
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12/06/2020
Rethinking FUN: Frequency-Domain Utilization Networks
The search for efficient neural network architectures has gained much fo...
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10/05/2020
Best Buddies Registration for Point Clouds
We propose new, and robust, loss functions for the point cloud registrat...
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05/17/2020
Co-occurrence Based Texture Synthesis
We model local texture patterns using the co-occurrence statistics of pi...
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02/05/2020
Proximity Preserving Binary Code using Signed Graph-Cut
We introduce a binary embedding framework, called Proximity Preserving C...
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01/14/2020
Deep Image Compression using Decoder Side Information
We present a Deep Image Compression neural network that relies on side i...
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12/26/2019
Graph Embedded Pose Clustering for Anomaly Detection
We propose a new method for anomaly detection of human actions. Our meth...
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12/08/2019
SampleNet: Differentiable Point Cloud Sampling
There is a growing number of tasks that work directly on point clouds. A...
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05/01/2019
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
The field of self-supervised monocular depth estimation has seen huge ad...
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12/04/2018
Learning to Sample
Processing large point clouds is a challenging task. Therefore, the data...
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11/28/2018
CrowdCam: Dynamic Region Segmentation
We consider the problem of segmenting dynamic regions in CrowdCam images...
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11/04/2018
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
Underwater images suffer from color distortion and low contrast, because...
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03/30/2018
On the Resistance of Neural Nets to Label Noise
We investigate the behavior of convolutional neural networks (CNN) in th...
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03/12/2017
Co-occurrence Filter
Co-occurrence Filter (CoF) is a boundary preserving filter. It is based ...
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11/10/2016
Detecting Moving Regions in CrowdCam Images
We address the novel problem of detecting dynamic regions in CrowdCam im...
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11/01/2016
Best-Buddies Tracking
Best-Buddies Tracking (BBT) applies the Best-Buddies Similarity measure ...
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09/06/2016
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors
We propose a novel method for template matching in unconstrained environ...
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11/09/2015
Spatially Coherent Random Forests
Spatially Coherent Random Forest (SCRF) extends Random Forest to create ...
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04/28/2014
