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08/24/2023
Hyperbolic Audio-visual Zero-shot Learning
Audio-visual zero-shot learning aims to classify samples consisting of a...
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08/09/2023
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels
The present work discusses the use of a weakly-supervised deep learning ...
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05/31/2023
Automatic Illumination Spectrum Recovery
We develop a deep learning network to estimate the illumination spectrum...
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05/26/2023
CVB: A Video Dataset of Cattle Visual Behaviors
Existing image/video datasets for cattle behavior recognition are mostly...
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05/08/2023
Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning
Optimal Transport (OT) is a mathematical framework that first emerged in...
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02/08/2023
Topological Deep Learning: A Review of an Emerging Paradigm
Topological data analysis (TDA) provides insight into data shape. The su...
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12/06/2022
A Hyperspectral and RGB Dataset for Building Facade Segmentation
Hyperspectral Imaging (HSI) provides detailed spectral information and h...
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12/05/2022
PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis
Point cloud analysis is receiving increasing attention, however, most ex...
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11/14/2022
What Images are More Memorable to Machines?
This paper studies the problem of measuring and predicting how memorable...
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10/11/2022
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
Zero-Shot Learning (ZSL) models aim to classify object classes that are ...
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09/14/2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences
Deep Metric Learning algorithms aim to learn an efficient embedding spac...
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08/02/2022
Curved Geometric Networks for Visual Anomaly Recognition
Learning a latent embedding to understand the underlying nature of data ...
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05/31/2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
We present a simple method, CropMix, for the purpose of producing a rich...
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05/14/2022
Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging
Modern data-driven machine learning research that enables revolutionary ...
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04/12/2022
Towards Open-Set Object Detection and Discovery
With the human pursuit of knowledge, open-set object detection (OSOD) ha...
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03/24/2022
Learning Dense Correspondence from Synthetic Environments
Estimation of human shape and pose from a single image is a challenging ...
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03/23/2022
GOSS: Towards Generalized Open-set Semantic Segmentation
In this paper, we present and study a new image segmentation task, calle...
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02/26/2022
Continuous Human Action Recognition for Human-Machine Interaction: A Review
With advances in data-driven machine learning research, a wide variety o...
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01/28/2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
We present You Only Cut Once (YOCO) for performing data augmentations. Y...
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12/17/2021
Transcribing Natural Languages for The Deaf via Neural Editing Programs
This work studies the task of glossification, of which the aim is to em ...
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11/30/2021
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
Medical applications have benefited from the rapid advancement in comput...
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10/23/2021
Towards a Robust Differentiable Architecture Search under Label Noise
Neural Architecture Search (NAS) is the game changer in designing robust...
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08/25/2021
Blind Image Decomposition
We present and study a novel task named Blind Image Decomposition (BID),...
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07/01/2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
With the remarkable success of representation learning for prediction pr...
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06/20/2021
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
Underwater image restoration is of significant importance in unveiling t...
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05/27/2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
With the advances of data-driven machine learning research, a wide varie...
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05/27/2021
Towards Interpretable Attention Networks for Cervical Cancer Analysis
Recent advances in deep learning have enabled the development of automat...
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04/15/2021
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation tasks aim to find a mapping betw...
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04/11/2021
Zero-Shot Learning on 3D Point Cloud Objects and Beyond
Zero-shot learning, the task of learning to recognize new classes not se...
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03/17/2021
Single Underwater Image Restoration by Contrastive Learning
Underwater image restoration attracts significant attention due to its i...
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03/06/2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Few-shot class incremental learning (FSCIL) portrays the problem of lear...
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11/02/2020
Set Augmented Triplet Loss for Video Person Re-Identification
Modern video person re-identification (re-ID) machines are often trained...
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10/07/2020
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Full attention, which generates an attention value per element of the in...
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06/17/2020
Cross-Correlated Attention Networks for Person Re-Identification
Deep neural networks need to make robust inference in the presence of oc...
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04/26/2020
Attention Prior for Real Image Restoration
Deep convolutional neural networks perform better on images containing s...
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04/15/2020
Mosaic Super-resolution via Sequential Feature Pyramid Networks
Advances in the design of multi-spectral cameras have led to great inter...
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03/24/2020
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
To make the best use of the underlying minute and subtle differences, fi...
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03/08/2020
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Word-level sign language recognition (WSLR) is a fundamental task in sig...
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12/18/2019
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
In practice, conditional variational autoencoders (CVAEs) perform condit...
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12/16/2019
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Zero-shot learning, the task of learning to recognize new classes not se...
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12/10/2019
Neural Memory Networks for Seizure Type Classification
Classification of seizure type is a key step in the clinical process for...
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12/10/2019
Neural Memory Networks for Robust Classification of Seizure Type
Classification of seizure type is a key step in the clinical process for...
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09/30/2019
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
We present a new approach for a single view, image-based object pose est...
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09/17/2019
Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network
This paper introduces a novel method to super-resolve multi-spectral ima...
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09/05/2019
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
This paper introduces a novel method to simultaneously super-resolve and...
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08/02/2019
Learning Variations in Human Motion via Mix-and-Match Perturbation
Human motion prediction is a stochastic process: Given an observed seque...
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07/15/2019
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
The development of advanced 3D sensors has enabled many objects to be ca...
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02/27/2019
Zero-shot Learning of 3D Point Cloud Objects
Recent deep learning architectures can recognize instances of 3D point c...
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12/04/2018
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation
Determining the position and orientation of a calibrated camera from a s...
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11/06/2018