Mahdyar Ravanbakhsh | DeepAI

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∙ 06/01/2023

LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

Visual question answering (VQA) methods in remote sensing (RS) aim to an...

0 Leonard Hackel, et al. ∙

∙ 10/10/2022

Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing

With the new generation of satellite technologies, the archives of remot...

0 Tim Siebert, et al. ∙

∙ 10/05/2022

Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images

Subsurface tile drainage pipes provide agronomic, economic and environme...

0 Tom-Lukas Breitkopf, et al. ∙

∙ 07/28/2022

On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification

The development of accurate methods for multi-label classification (MLC)...

0 Tom Burgert, et al. ∙

∙ 04/19/2022

Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing

The development of cross-modal retrieval systems that can search and ret...

0 Georgii Mikriukov, et al. ∙

∙ 02/26/2022

An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing

The development of accurate and scalable cross-modal image-text retrieva...

0 Georgii Mikriukov, et al. ∙

∙ 01/20/2022

Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing

Due to the availability of large-scale multi-modal data (e.g., satellite...

0 Georgii Mikriukov, et al. ∙

∙ 05/12/2021

A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise

In remote sensing (RS), collecting a large number of reliable training i...

0 Ahmet Kerem Aksoy, et al. ∙

∙ 05/08/2021

A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval

Learning the similarity between remote sensing (RS) images forms the fou...

10 Tristan Kreuziger, et al. ∙

∙ 12/19/2020

CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels

The development of accurate methods for multi-label classification (MLC)...

7 Ahmet Kerem Aksoy, et al. ∙

∙ 04/09/2019

Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series

Novelty detection is a process for distinguishing the observations that ...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 06/08/2018

Hierarchy of GANs for learning embodied self-awareness model

In recent years several architectures have been proposed to learn embodi...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 06/07/2018

Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving

This paper presents a novel approach for learning self-awareness models ...

6 Mahdyar Ravanbakhsh, et al. ∙

∙ 03/17/2018

A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents

This paper focuses on multi-sensor anomaly detection for moving cognitiv...

0 Mohamad Baydoun, et al. ∙

∙ 08/31/2017

Abnormal Event Detection in Videos using Generative Adversarial Nets

In this paper we address the abnormality detection problem in crowded sc...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 06/23/2017

Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds

Abnormal crowd behaviour detection attracts a large interest due to its ...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 11/21/2016

Efficient Convolutional Neural Network with Binary Quantization Layer

In this paper we introduce a novel method for segmentation that can bene...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 10/02/2016

Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection

Most of the crowd abnormal event detection methods rely on complex hand-...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 09/29/2016

CNN-aware Binary Map for General Semantic Segmentation

In this paper we introduce a novel method for general semantic segmentat...

0 Mahdyar Ravanbakhsh, et al. ∙

∙ 12/13/2015

Action Recognition with Image Based CNN Features

Most of human actions consist of complex temporal compositions of more s...

0 Mahdyar Ravanbakhsh, et al. ∙