Michele Sasdelli

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 30

Top Topics

Multilayer Perceptron

Ensemble Classification

Unsupervised Clustering

Top Venues

Pattern Recognit.

Astroinformatics

Publications

Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR (2023)
Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR (2023)
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC (2022)
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR (2022)
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Physical Adversarial Attacks on an Aerial Imagery Object Detector. WACV (2022)
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR (2022)
Cameron Robert McLeod, Michele Sasdelli
Benchmarking D-Wave Quantum Annealers: Spectral Gap Scaling of Maximum Cardinality Matching Problems. ICCS (4) (2022)
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR (2022)
Michele Sasdelli, Tat-Jun Chin
Quantum Annealing Formulation for Binary Neural Networks. CoRR (2021)
Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110 (2021)
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Physical Adversarial Attacks on an Aerial Imagery Object Detector. CoRR (2021)
Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. CoRR (2021)
Michele Sasdelli, Tat-Jun Chin
Quantum Annealing Formulation for Binary Neural Networks. DICTA (2021)
Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA (2021)
Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) (2020)
Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro
Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA (2020)
Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. CoRR (2019)
Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. CoRR (2019)
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
Real-time tracker with fast recovery from target loss. CoRR (2019)
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
Real-time Tracker with Fast Recovery from Target Loss. ICASSP (2019)
Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR (2019)
Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. DICTA (2019)
Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez
Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. SITIS (2018)
Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition. CoRR (2018)
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez
Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. CoRR (2018)
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
Hide and Seek tracker: Real-time recovery from target loss. CoRR (2018)
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez
FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. CoRR (2018)
Yu Qian, P. Giaccone, Michele Sasdelli, Eduard Vasquez, Biswa Sengupta
Algorithmic clothing: hybrid recommendation, from street-style-to-shop. CoRR (2017)
Biswa Sengupta, Eduard Vazquez, Michele Sasdelli, Yu Qian, Martin Peniak, L. Netherton, G. Delfino
Large-scale image analysis using docker sandboxing. CoRR (2017)
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
Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. Astroinformatics (2016)