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ORCIDMichele Sasdelli
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2020 – today
- 2024
[c13]Frances Fengyi Yang
, Michele Sasdelli, Tat-Jun Chin:
Robust Fitting on a Gate Quantum Computer. ECCV (1) 2024: 120-138- [i18]Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin:
Robust Fitting on a Gate Quantum Computer. CoRR abs/2409.02006 (2024) - 2023
- [i17]Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin:
Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR abs/2303.12352 (2023) - [i16]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 abs/2310.15128 (2023) - 2022
- [c12]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR 2022: 417-427 - [c11]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: 3510-3513 - [c10]Cameron Robert McLeod, Michele Sasdelli:
Benchmarking D-Wave Quantum Annealers: Spectral Gap Scaling of Maximum Cardinality Matching Problems. ICCS (4) 2022: 150-163 - [c9]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: 3798-3808 - [i15]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR abs/2201.10110 (2022) - [i14]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 abs/2201.10305 (2022) - 2021
- [j1]Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento:
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110: 107585 (2021) - [c8]Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro:
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA 2021: 1-10 - [c7]Michele Sasdelli, Tat-Jun Chin:
Quantum Annealing Formulation for Binary Neural Networks. DICTA 2021: 1-10 - [i13]Michele Sasdelli, Tat-Jun Chin:
Quantum Annealing Formulation for Binary Neural Networks. CoRR abs/2107.02751 (2021) - [i12]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 abs/2108.11765 (2021) - [i11]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 abs/2112.01723 (2021) - 2020
- [c6]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) 2020: 442-458 - [c5]Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro:
Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA 2020: 1-8
2010 – 2019
- 2019
- [c4]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. DICTA 2019: 1-8 - [c3]Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli:
Real-time Tracker with Fast Recovery from Target Loss. ICASSP 2019: 1932-1936 - [i10]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR abs/1901.04623 (2019) - [i9]Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli:
Real-time tracker with fast recovery from target loss. CoRR abs/1902.04570 (2019) - [i8]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. CoRR abs/1908.02013 (2019) - [i7]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. CoRR abs/1908.04930 (2019) - 2018
- [c2]Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez:
Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. SITIS 2018: 442-448 - [i6]Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez:
FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. CoRR abs/1806.07124 (2018) - [i5]Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli:
Hide and Seek tracker: Real-time recovery from target loss. CoRR abs/1806.07844 (2018) - [i4]Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez:
Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. CoRR abs/1807.11674 (2018) - [i3]Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez:
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition. CoRR abs/1811.02949 (2018) - 2017
- [i2]Biswa Sengupta, Eduard Vazquez, Michele Sasdelli, Yu Qian, Martin Peniak, L. Netherton, G. Delfino:
Large-scale image analysis using docker sandboxing. CoRR abs/1703.02898 (2017) - [i1]Yu Qian, P. Giaccone, Michele Sasdelli, Eduard Vasquez, Biswa Sengupta:
Algorithmic clothing: hybrid recommendation, from street-style-to-shop. CoRR abs/1705.09451 (2017) - 2016
- [c1]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: 247-252
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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