Michele Sasdelli

34 papers A* 1A 2Misc 5Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms. CoRR Natacha Kuete Meli, Shuteng Wang, Marcel Seelbach Benkner, Michele Sasdelli, Tat-Jun Chin, Tolga Birdal, Michael Möller, Vladislav Golyanik
2024	A	`conf`	Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. BMVC Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2024	—	`conf`	Robust Fitting on a Gate Quantum Computer. ECCV (1) Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
2024	J	`jnl`	Robust Fitting on a Gate Quantum Computer. CoRR Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
2023	J	`jnl`	Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2023	J	`jnl`	Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
2022	A*	`conf`	A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
2022	J	`jnl`	A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
2022	—	`conf`	Benchmarking D-Wave Quantum Annealers: Spectral Gap Scaling of Maximum Cardinality Matching Problems. ICCS (4) Cameron Robert McLeod, Michele Sasdelli
2022	—	`conf`	Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
2022	J	`jnl`	Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
2022	A	`conf`	Physical Adversarial Attacks on an Aerial Imagery Object Detector. WACV Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
2021	Misc	`conf`	A Chaos Theory Approach to Understand Neural Network Optimization. DICTA Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro
2021	J	`jnl`	Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. CoRR Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin
2021	J	`jnl`	LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento
2021	J	`jnl`	Physical Adversarial Attacks on an Aerial Imagery Object Detector. CoRR Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
2021	Misc	`conf`	Quantum Annealing Formulation for Binary Neural Networks. DICTA Michele Sasdelli, Tat-Jun Chin
2021	J	`jnl`	Quantum Annealing Formulation for Binary Neural Networks. CoRR Michele Sasdelli, Tat-Jun Chin
2020	—	`conf`	Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
2020	Misc	`conf`	Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro
2019	Misc	`conf`	Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. DICTA Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
2019	J	`jnl`	Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. CoRR Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
2019	J	`jnl`	Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. CoRR Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
2019	J	`jnl`	Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
2019	Misc	`conf`	Real-time Tracker with Fast Recovery from Target Loss. ICASSP Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
2019	J	`jnl`	Real-time tracker with fast recovery from target loss. CoRR Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
2018	J	`jnl`	FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. CoRR Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez
2018	J	`jnl`	Hide and Seek tracker: Real-time recovery from target loss. CoRR Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
2018	J	`jnl`	Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. CoRR Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez
2018	—	`conf`	Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. SITIS Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez
2018	J	`jnl`	Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition. CoRR Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez
2017	J	`jnl`	Algorithmic clothing: hybrid recommendation, from street-style-to-shop. CoRR Yu Qian, P. Giaccone, Michele Sasdelli, Eduard Vasquez, Biswa Sengupta
2017	J	`jnl`	Large-scale image analysis using docker sandboxing. CoRR Biswa Sengupta, Eduard Vazquez, Michele Sasdelli, Yu Qian, Martin Peniak, L. Netherton, G. Delfino
2016	—	`conf`	Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. Astroinformatics 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