Michele Sasdelli

According to our database, Michele Sasdelli authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.

Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal

CoRR, 2023

Training Multilayer Perceptrons by Sampling with Quantum Annealers.

Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin

CoRR, 2023

2022

Physical Adversarial Attacks on an Aerial Imagery Object Detector.

Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Benchmarking D-Wave Quantum Annealers: Spectral Gap Scaling of Maximum Cardinality Matching Problems.

Cameron Robert McLeod, Michele Sasdelli

Proceedings of the Computational Science - ICCS 2022, 2022

Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.

Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Hybrid Quantum-Classical Algorithm for Robust Fitting.

Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

LOW: Training deep neural networks by learning optimal sample weights.

Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento

Pattern Recognit., 2021

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector.

Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin

CoRR, 2021

Quantum Annealing Formulation for Binary Neural Networks.

Michele Sasdelli, Tat-Jun Chin

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

A Chaos Theory Approach to Understand Neural Network Optimization.

Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Generalised Zero-shot Learning with Multi-modal Embedding Spaces.

Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Augmentation Network for Generalised Zero-Shot Learning.

Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces.

Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro

CoRR, 2019

Multi-modal Ensemble Classification for Generalized Zero Shot Learning.

Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro

CoRR, 2019

Real-time Tracker with Fast Recovery from Target Loss.

Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli

Proceedings of the IEEE International Conference on Acoustics, 2019

Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space.

Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018

Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition.

Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez

CoRR, 2018

Hide and Seek tracker: Real-time recovery from target loss.

Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli

CoRR, 2018

FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images.

Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez

CoRR, 2018

Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition.

Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez

Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

2017

Large-scale image analysis using docker sandboxing.

Biswa Sengupta, Eduard Vazquez, Michele Sasdelli, Yu Qian, Martin Peniak, L. Netherton, G. Delfino

CoRR, 2017

Algorithmic clothing: hybrid recommendation, from street-style-to-shop.

Yu Qian, P. Giaccone, Michele Sasdelli, Eduard Vasquez, Biswa Sengupta

CoRR, 2017

2016

Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering.

Emille E. O. Ishida, Michele Sasdelli, Ricardo Vilalta, Michel Aguena, Vinicius C. Busti, Hugo Camacho, Arlindo M. M. Trindade, Fabian Gieseke, Rafael S. de Souza, Yabebal T. Fantaye, Paolo A. Mazzali

Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016