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2020 – today
- 2022
[j4]Usman Mahmood Khan, Luca Rigazio, Muhammad Shahzad:
Contactless Monitoring of PPG Using Radar. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 123:1-123:30 (2022)- 2021
- [c23]Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio:
Contrastive Neural Processes for Self-Supervised Learning. ACML 2021: 594-609 - [c22]Denis A. Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa:
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation. CVPR 2021: 16601-16610 - [i8]Denis A. Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa:
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation. CoRR abs/2103.05863 (2021) - [i7]Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio:
Contrastive Neural Processes for Self-Supervised Learning. CoRR abs/2110.13623 (2021)
2010 – 2019
- 2019
- [j3]Stefano Alletto
, Davide Abati, Simone Calderara, Rita Cucchiara, Luca Rigazio:
Self-Supervised Optical Flow Estimation by Projective Bootstrap. IEEE Trans. Intell. Transp. Syst. 20(9): 3294-3302 (2019) - [c21]Stefano Alletto, Casey Carlin, Luca Rigazio, Yasunori Ishii, Sotaro Tsukizawa:
Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial Networks. ICCV Workshops 2019: 2329-2338 - [i6]Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel:
DoorGym: A Scalable Door Opening Environment And Baseline Agent. CoRR abs/1908.01887 (2019) - 2018
- [c20]Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio:
DNN Feature Map Compression Using Learned Representation over GF(2). ECCV Workshops (4) 2018: 502-516 - [i5]Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio:
DNN Feature Map Compression using Learned Representation over GF(2). CoRR abs/1808.05285 (2018) - 2017
- [i4]Denis A. Gudovskiy, Luca Rigazio:
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks. CoRR abs/1706.02393 (2017) - [i3]Masashi Okada, Luca Rigazio, Takenobu Aoshima:
Path Integral Networks: End-to-End Differentiable Optimal Control. CoRR abs/1706.09597 (2017) - 2016
- [i2]Minyoung Kim, Stefano Alletto, Luca Rigazio:
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking. CoRR abs/1609.09156 (2016) - 2015
- [c19]Minyoung Kim, Luca Rigazio:
Deep Clustered Convolutional Kernels. FE@NIPS 2015: 160-172 - [c18]Grégory Senay, Fabio Massimo Zanzotto, Lorenzo Ferrone, Luca Rigazio:
Predicting Embedded Syntactic Structures from Natural Language Sentences with Neural Network Approaches. CoCo@NIPS 2015 - [c17]Shixiang Gu, Luca Rigazio:
Towards Deep Neural Network Architectures Robust to Adversarial Examples. ICLR (Workshop) 2015 - [i1]Minyoung Kim, Luca Rigazio:
Deep Clustered Convolutional Kernels. CoRR abs/1503.01824 (2015) - 2011
- [j2]Igor S. Stievano, Luca Rigazio, Flavio G. Canavero, Telmo Reis Cunha, José Carlos Pedro, Hugo M. Teixeira, Antonio Girardi, Roberto Izzi, Filippo Vitale:
Behavioral Modeling of IC Memories From Measured Data. IEEE Trans. Instrum. Meas. 60(10): 3471-3479 (2011)
2000 – 2009
- 2006
- [c16]Chaojun Liu, Hui Jiang, Luca Rigazio:
Recent Improvement on Maximum Relative Margin Estimation of HMMS for Speech Recognition. ICASSP (1) 2006: 269-272 - [c15]Alessandro Duminuco, Chaojun Li, David Kryze, Luca Rigazio:
Flexible Feature Spaces Based on Generalized Heteroscedastic Linear Discriminant Analysis. ICASSP (1) 2006: 317-320 - [c14]Haitian Xu, Luca Rigazio, David Kryze:
Vector taylor series based joint uncertainty decoding. INTERSPEECH 2006 - 2004
- [j1]Christophe Cerisara, Luca Rigazio, Jean-Claude Junqua:
alpha-Jacobian environmental adaptation. Speech Commun. 42(1): 25-41 (2004) - [c13]Luca Giulio Brayda, Luca Rigazio, Robert Boman, Jean-Claude Junqua:
Sensitivity analysis of noise robustness methods. ICASSP (1) 2004: 1037-1040 - 2003
- [c12]Luca Rigazio, Patrick Nguyen, David Kryze, Jean-Claude Junqua:
Large vocabulary noise robustness on Aurora4. INTERSPEECH 2003: 345-348 - [c11]Patrick Nguyen, Luca Rigazio, Jean-Claude Junqua:
Large corpus experiments for broadcast news recognition. INTERSPEECH 2003: 1837-1840 - 2002
- [c10]Christophe Cerisara, Jean-Claude Junqua, Luca Rigazio:
Dynamic estimation of a noise over estimation factor for Jacobian-based adaptation. ICASSP 2002: 201-204 - [c9]Younes Souilmi, Luca Rigazio, Patrick Nguyen, David Kryze, Jean-Claude Junqua:
Blind channel estimation based on speech correlation structure. ICASSP 2002: 393-396 - [c8]Patrick Nguyen, Luca Rigazio, Jean-Claude Junqua, Christian Wellekens:
Piecewise linear constraints for model space adaptation. ICASSP 2002: 597-600 - [c7]Patrick Nguyen, Luca Rigazio, Christian Wellekens, Jean-Claude Junqua:
LU factorization for feature transformation. INTERSPEECH 2002: 73-76 - 2001
- [c6]Christophe Cerisara, Luca Rigazio, Robert Boman, Jean-Claude Junqua:
Environmental adaptation based on first order approximation. ICASSP 2001: 213-216 - [c5]Roland Kuhn, Florent Perronnin, Patrick Nguyen, Jean-Claude Junqua, Luca Rigazio:
Very fast adaptation with a compact context-dependent eigenvoice model. ICASSP 2001: 373-376 - [c4]Luca Rigazio, Patrick Nguyen, David Kryze, Jean-Claude Junqua:
Separating speaker and environment variabilities for improved recognition in non-stationary conditions. INTERSPEECH 2001: 2347-2350 - 2000
- [c3]Luca Rigazio, Brice Tsakam, Jean-Claude Junqua:
An optimal Bhattacharyya centroid algorithm for Gaussian clustering with applications in automatic speech recognition. ICASSP 2000: 1599-1602 - [c2]Patrick Nguyen, Luca Rigazio, Jean-Claude Junqua:
EWAVES: an efficient decoding algorithm for lexical tree based speech recognition. INTERSPEECH 2000: 286-289
1990 – 1999
- 1998
- [c1]Luca Rigazio, Jean-Claude Junqua, Michael Galler:
Multilevel discriminative training for spelled word recognition. ICASSP 1998: 489-492
Coauthor Index
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