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09/18/2023
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training
Hyperspectral images (HSIs) contain rich spectral and spatial informatio...
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09/05/2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
The inclusion of physical information in machine learning frameworks has...
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08/17/2023
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification
Endoscopy plays a major role in identifying any underlying abnormalities...
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08/09/2023
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition approaches based on deep learning suffer a signi...
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07/07/2023
General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation
The advent of high-resolution multispectral/hyperspectral sensors, LiDAR...
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05/29/2023
Physics-Informed Computer Vision: A Review and Perspectives
Incorporation of physical information in machine learning frameworks are...
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05/19/2023
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Humans exhibit complex motions that vary depending on the task that they...
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05/01/2023
Physical Adversarial Attacks for Surveillance: A Survey
Modern automated surveillance techniques are heavily reliant on deep lea...
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04/05/2023
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models
Heatmaps are widely used to interpret deep neural networks, particularly...
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03/19/2023
Uncertainty Driven Bottleneck Attention U-net for OAR Segmentation
Organ at risk (OAR) segmentation in computed tomography (CT) imagery is ...
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02/17/2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Inference on modern Bayesian Neural Networks (BNNs) often relies on a va...
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02/07/2023
Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion
Recent research has shown it is possible to perform zero-shot classifica...
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11/23/2022
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments
Many existing datasets for lidar place recognition are solely representa...
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11/15/2022
Using Auxiliary Information for Person Re-Identification – A Tutorial Overview
Person re-identification (re-id) is a pivotal task within an intelligent...
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10/10/2022
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization
Although re-ranking methods are widely used in many retrieval tasks to i...
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07/05/2022
SESS: Saliency Enhancing with Scaling and Sliding
High-quality saliency maps are essential in several machine learning app...
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06/14/2022
CorticalFlow^++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability
The problem of Cortical Surface Reconstruction from magnetic resonance i...
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06/06/2022
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction
In this paper we introduce CorticalFlow, a new geometric deep-learning m...
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04/20/2022
Does Interference Exist When Training a Once-For-All Network?
The Once-For-All (OFA) method offers an excellent pathway to deploy a tr...
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04/05/2022
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
With tremendous advancements in low-power embedded computing devices and...
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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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03/02/2022
InCloud: Incremental Learning for Point Cloud Place Recognition
Place recognition is a fundamental component of robotics, and has seen t...
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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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01/09/2022
The State of Aerial Surveillance: A Survey
The rapid emergence of airborne platforms and imaging sensors are enabli...
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12/01/2021
Point Cloud Segmentation Using Sparse Temporal Local Attention
Point clouds are a key modality used for perception in autonomous vehicl...
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09/17/2021
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Retrieval-based place recognition is an efficient and effective solution...
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08/20/2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Domain generalization approaches aim to learn a domain invariant predict...
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08/09/2021
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
This paper presents a novel lightweight COVID-19 diagnosis framework usi...
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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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06/30/2021
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
This paper proposes a novel framework for lung sound event detection, se...
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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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04/29/2021
MongeNet: Efficient Sampler for Geometric Deep Learning
Recent advances in geometric deep-learning introduce complex computation...
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04/28/2021
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
In a real world environment, person re-identification (Re-ID) is a chall...
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04/28/2021
Pose-driven Attention-guided Image Generation for Person Re-Identification
Person re-identification (re-ID) concerns the matching of subject images...
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04/28/2021
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
Unsupervised domain adaptation seeks to mitigate the distribution discre...
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04/28/2021
Deep Domain Generalization with Feature-norm Network
In this paper, we tackle the problem of training with multiple source do...
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04/15/2021
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Large-scale trademark retrieval is an important content-based image retr...
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02/08/2021
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted...
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01/27/2021
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image
This work addresses hand mesh recovery from a single RGB image. In contr...
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12/04/2020
Deep Learning for Medical Anomaly Detection – A Survey
Machine learning-based medical anomaly detection is an important problem...
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11/30/2020
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling
Place Recognition (PR) enables the estimation of a globally consistent m...
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11/23/2020
Complex-valued Iris Recognition Network
In this work, we design a complex-valued neural network for the task of ...
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11/18/2020
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
Objective: Epilepsy is one of the most prevalent neurological diseases a...
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11/12/2020
Domain Generalization in Biosignal Classification
Objective: When training machine learning models, we often assume that t...
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11/10/2020
Fast Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers
Neural Memory Networks (NMNs) have received increased attention in recen...
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11/10/2020
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition
Gesture recognition is a much studied research area which has myriad rea...
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10/22/2020
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
The study of neurodegenerative diseases relies on the reconstruction and...
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09/23/2020
Attention Driven Fusion for Multi-Modal Emotion Recognition
Deep learning has emerged as a powerful alternative to hand-crafted meth...
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09/07/2020
Going deeper with brain morphometry using neural networks
Brain morphometry from magnetic resonance imaging (MRI) is a consolidate...
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08/05/2020