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09/08/2019
Deep weakly-supervised learning methods for classification and localization in histology images: a survey
Using state-of-the-art deep learning models for the computer-assisted di...
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07/25/2019
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework
Weakly supervised object localization (WSOL) models aim to locate object...
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07/06/2019
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
This paper presents a novel deep neural network (DNN) for multimodal fus...
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07/04/2019
A Survey of Pruning Methods for Efficient Person Re-identification Across Domains
Recent years have witnessed a substantial increase in the deep learning ...
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06/24/2019
Audio-Visual Kinship Verification
Visual kinship verification entails confirming whether or not two indivi...
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06/20/2019
An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning
Although deep neural networks (NNs) have achieved state-of-the-art accur...
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06/19/2019
Clustering with Fairness Constraints: A Flexible and Scalable Approach
This study investigates a general variational formulation of fair cluste...
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04/10/2019
Curriculum semi-supervised segmentation
This study investigates a curriculum-style strategy for semi-supervised ...
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04/08/2019
Log-barrier constrained CNNs
This study investigates imposing inequality constraints on the outputs o...
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12/17/2018
Boundary loss for highly unbalanced segmentation
Widely used loss functions for convolutional neural network (CNN) segmen...
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11/23/2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Research on adversarial examples in computer vision tasks has shown that...
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10/31/2018
Scalable Laplacian K-modes
We advocate Laplacian K-modes for joint clustering and density mode find...
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10/27/2018
A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth
Person re-identification involves the recognition over time of individua...
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09/10/2018
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications
Detecting faces and heads appearing in video feeds are challenging tasks...
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05/28/2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Precise segmentation of bladder walls and tumor regions is an essential ...
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05/12/2018
Constrained-CNN losses forweakly supervised segmentation
Weak supervision, e.g., in the form of partial labels or image tags, is ...
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02/27/2018
Deep Learning Architectures for Face Recognition in Video Surveillance
Face recognition (FR) systems for video surveillance (VS) applications a...
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01/06/2018
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person
The performance of still-to-video face recognition (FR) systems can decl...
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11/29/2017
Modeling Information Flow Through Deep Neural Networks
This paper proposes a principled information theoretic analysis of class...
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10/06/2017
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
A growing number of applications, e.g. video surveillance and medical im...
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06/29/2017
Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning
This paper addresses the problem of appearance matching across different...
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06/05/2017
Progressive Boosting for Class Imbalance
Pattern recognition applications often suffer from skewed data distribut...
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02/07/2017
Tracking using Numerous Anchor points
In this paper, an online adaptive model-free tracker is proposed to trac...
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12/11/2016
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning...
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10/04/2016
Feature Learning from Spectrograms for Assessment of Personality Traits
Several methods have recently been proposed to analyze speech and automa...
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08/18/2014