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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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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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05/19/2023
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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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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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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03/02/2022
InCloud: Incremental Learning for Point Cloud Place Recognition
Place recognition is a fundamental component of robotics, and has seen t...
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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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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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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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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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08/05/2020
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM
Map-centric SLAM utilizes elasticity as a means of loop closure. This ap...
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07/16/2020
Memory Based Attentive Fusion
The use of multi-modal data for deep machine learning has shown promise ...
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07/12/2020
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis
Automating the analysis of imagery of the Gastrointestinal (GI) tract ca...
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06/23/2020
Meta Transfer Learning for Emotion Recognition
Deep learning has been widely adopted in automatic emotion recognition a...
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05/21/2020
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection
Traditionally, abnormal heart sound classification is framed as a three-...
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05/07/2020
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification
Person re-identification (re-ID) remains challenging in a real-world sce...
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05/07/2020
Hierarchical Attention Network for Action Segmentation
The temporal segmentation of events is an essential task and a precursor...
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04/28/2020
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
Multimodal dimensional emotion recognition has drawn a great attention f...
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04/02/2020
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection
This paper presents a novel framework for Speech Activity Detection (SAD...
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04/02/2020
Heart Sound Segmentation using Bidirectional LSTMs with Attention
This paper proposes a novel framework for the segmentation of phonocardi...
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03/24/2020
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Deep learning has been applied to achieve significant progress in emotio...
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02/05/2020
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval
Off-the-shelf convolutional neural network features achieve state-of-the...
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01/17/2020
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach
The demand for multimodal sensing systems for robotics is growing due to...
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12/16/2019
MTRNet++: One-stage Mask-based Scene Text Eraser
A precise, controllable, interpretable and easily trainable text removal...
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12/16/2019
Predicting the Future: A Jointly Learnt Model for Action Anticipation
Inspired by human neurological structures for action anticipation, we pr...
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11/29/2019