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04/20/2020
Complex-Object Visual Inspection via Multiple Lighting Configurations
The design of an automatic visual inspection system is usually performed...
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04/17/2020
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans
In this paper, we tackle the task of automatically analyzing 3D volumetr...
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03/13/2020
Explainable Deep Classification Models for Domain Generalization
Conventionally, AI models are thought to trade off explainability for lo...
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03/13/2020
Learning Unbiased Representations via Mutual Information Backpropagation
We are interested in learning data-driven representations that can gener...
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01/09/2020
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
We investigate and characterize the inherent resilience of conditional G...
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12/23/2019
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
In this work, we address the problem of learning an ensemble of speciali...
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10/24/2019
Aggregation Signature for Small Object Tracking
Small object tracking becomes an increasingly important task, which howe...
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10/22/2019
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI
This paper presents a simple and effective generalization method for mag...
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08/27/2019
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes
Pedestrian attributes, e.g., hair length, clothes type and color, locall...
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08/27/2019
Intra-Camera Supervised Person Re-Identification: A New Benchmark
Existing person re-identification (re-id) methods rely mostly on a large...
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04/16/2019
Audio-Visual Model Distillation Using Acoustic Images
In this paper, we investigate how to learn rich and robust feature repre...
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03/28/2019
Model Vulnerability to Distributional Shifts over Image Transformation Sets
We are concerned with the vulnerability of computer vision models to dis...
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12/06/2018
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
We propose Guided Zoom, an approach that utilizes spatial grounding to m...
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11/07/2018
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation
In this paper, we present an automated approach for segmenting multiple ...
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10/19/2018
Learning with privileged information via adversarial discriminative modality distillation
Heterogeneous data modalities can provide complementary cues for several...
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06/19/2018
Modality Distillation with Multiple Stream Networks for Action Recognition
Diverse input data modalities can provide complementary cues for several...
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05/30/2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
We are concerned with learning models that generalize well to different ...
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05/23/2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
We propose a guided dropout regularizer for deep networks based on the e...
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11/28/2017
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines
Despite the recent deep learning (DL) revolution, kernel machines still ...
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11/28/2017
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
In this work, we face the problem of unsupervised domain adaptation with...
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11/23/2017
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
Recent works showed that Generative Adversarial Networks (GANs) can be s...
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11/18/2017
Excitation Backprop for RNNs
Deep models are state-of-the-art for many vision tasks including video a...
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10/13/2017
Dropout as a Low-Rank Regularizer for Matrix Factorization
Regularization for matrix factorization (MF) and approximation problems ...
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10/10/2017
An Analysis of Dropout for Matrix Factorization
Dropout is a simple yet effective algorithm for regularizing neural netw...
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09/06/2017
A Compact Kernel Approximation for 3D Action Recognition
3D action recognition was shown to benefit from a covariance representat...
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08/06/2017
Manifold Constrained Low-Rank Decomposition
Low-rank decomposition (LRD) is a state-of-the-art method for visual dat...
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08/03/2017
What Will I Do Next? The Intention from Motion Experiment
In computer vision, video-based approaches have been widely explored for...
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08/03/2017
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data
Human action recognition from skeletal data is a hot research topic and ...
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06/09/2017
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks
Person re-identification is an open and challenging problem in computer ...
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05/23/2017
Correlation Alignment by Riemannian Metric for Domain Adaptation
Domain adaptation techniques address the problem of reducing the sensiti...
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03/18/2017
Curriculum Dropout
Dropout is a very effective way of regularizing neural networks. Stochas...
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01/11/2017
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines
The retina is a complex nervous system which encodes visual stimuli befo...
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09/29/2016
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification
This paper presents a novel framework for visual object recognition usin...
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07/26/2016
Emotion-Based Crowd Representation for Abnormality Detection
In crowd behavior understanding, a model of crowd behavior need to be tr...
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06/05/2016
Active Regression with Adaptive Huber Loss
This paper addresses the scalar regression problem through a novel solut...
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05/31/2016
Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
In this paper, we address the new problem of the prediction of human int...
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04/22/2016
Kernelized Covariance for Action Recognition
In this paper we aim at increasing the descriptive power of the covarian...
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12/13/2015
Action Recognition with Image Based CNN Features
Most of human actions consist of complex temporal compositions of more s...
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02/17/2015
3D Pose from Detections
We present a novel method to infer, in closed-form, a general 3D spatial...
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09/27/2014
Audio Surveillance: a Systematic Review
Despite surveillance systems are becoming increasingly ubiquitous in our...
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01/31/2014
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning
This paper presents a general vector-valued reproducing kernel Hilbert s...
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05/12/2011