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ORCIDMarc-André Carbonneau
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2020 – today
- 2024
[j8]Marc-André Carbonneau
, Julian Zaïdi, Jonathan Boilard, Ghyslain Gagnon:
Measuring Disentanglement: A Review of Metrics. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8747-8761 (2024)- [c13]Gaetan Latouche, Marc-André Carbonneau, Benjamin Swanson:
BinaryAlign: Word Alignment as Binary Sequence Labeling. ACL (1) 2024: 10277-10288 - [c12]Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael M. O. Cruz, Marc-André Carbonneau:
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading. CVPR 2024: 1770-1780 - [c11]Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad:
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-view and Temporal Cues. ECCV (16) 2024: 19-38 - [c10]Gaetan Latouche, Marc-André Carbonneau, Benjamin Swanson:
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection. EMNLP 2024: 3002-3016 - [i14]Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad:
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues. CoRR abs/2404.14634 (2024) - [i13]Gaetan Lopez Latouche, Marc-André Carbonneau, Ben Swanson:
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection. CoRR abs/2407.11854 (2024) - [i12]Gaetan Lopez Latouche, Marc-André Carbonneau, Ben Swanson:
BinaryAlign: Word Alignment as Binary Sequence Labeling. CoRR abs/2407.12881 (2024) - 2023
- [j7]Saeed Ghorbani, Ylva Ferstl, Daniel Holden, Nikolaus F. Troje, Marc-André Carbonneau:
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. Comput. Graph. Forum 42(1): 206-216 (2023) - [j6]Benjamin van Niekerk, Marc-André Carbonneau, Herman Kamper:
Rhythm Modeling for Voice Conversion. IEEE Signal Process. Lett. 30: 1297-1301 (2023) - [c9]Julian Zaïdi, Corentin Duchêne, Hugo Seuté, Marc-André Carbonneau:
The La Forge Speech Synthesis System for Blizzard Challenge 2023. Blizzard Challenge 2023 - [i11]Benjamin van Niekerk, Marc-André Carbonneau, Herman Kamper:
Rhythm Modeling for Voice Conversion. CoRR abs/2307.06040 (2023) - [i10]Ge Zhu, Yutong Wen, Marc-André Carbonneau, Zhiyao Duan:
EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis. CoRR abs/2311.08667 (2023) - [i9]Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael M. O. Cruz, Marc-Andre Carbonneau:
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading. CoRR abs/2312.13091 (2023) - 2022
- [c8]Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi, Matthew Baas, Hugo Seuté, Herman Kamper:
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion. ICASSP 2022: 6562-6566 - [c7]Saeed Ghorbani, Ylva Ferstl, Marc-André Carbonneau:
Exemplar-based Stylized Gesture Generation from Speech: An Entry to the GENEA Challenge 2022. ICMI 2022: 778-783 - [c6]Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau:
Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis. INTERSPEECH 2022: 4591-4595 - [i8]Saeed Ghorbani, Ylva Ferstl, Daniel Holden, Nikolaus F. Troje, Marc-André Carbonneau:
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. CoRR abs/2209.07556 (2022) - 2021
- [j5]Christian Murphy, Sudhir P. Mudur, Daniel Holden, Marc-André Carbonneau, Donya Ghafourzadeh, Andre Beauchamp:
Artist guided generation of video game production quality face textures. Comput. Graph. 98: 268-279 (2021) - [i7]Antoine Langevin, Marc-André Carbonneau, Mohamed Cheriet, Ghyslain Gagnon:
Energy Disaggregation using Variational Autoencoders. CoRR abs/2103.12177 (2021) - [i6]Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau:
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis. CoRR abs/2108.02271 (2021) - [i5]Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi, Matthew Baas, Hugo Seuté, Herman Kamper:
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion. CoRR abs/2111.02392 (2021) - 2020
- [j4]Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon:
Feature Learning from Spectrograms for Assessment of Personality Traits. IEEE Trans. Affect. Comput. 11(1): 25-31 (2020) - [c5]Christian Murphy, Sudhir P. Mudur, Daniel Holden, Marc-André Carbonneau, Donya Ghafourzadeh, Andre Beauchamp:
Appearance Controlled Face Texture Generation for Video Game Characters. MIG 2020: 9:1-9:11 - [i4]Julian Zaidi, Jonathan Boilard, Ghyslain Gagnon, Marc-André Carbonneau:
Measuring Disentanglement: A Review of Metrics. CoRR abs/2012.09276 (2020)
2010 – 2019
- 2019
- [j3]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1441-1451 (2019) - 2018
- [j2]Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon:
Multiple instance learning: A survey of problem characteristics and applications. Pattern Recognit. 77: 329-353 (2018) - 2017
- [e1]M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro:
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10552, Springer 2017, ISBN 978-3-319-67533-6 [contents] - [i3]Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon:
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems. CoRR abs/1710.02584 (2017) - 2016
- [j1]Marc-André Carbonneau, Eric Granger, Alexandre J. Raymond, Ghyslain Gagnon:
Robust multiple-instance learning ensembles using random subspace instance selection. Pattern Recognit. 58: 83-99 (2016) - [c4]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Witness identification in multiple instance learning using random subspaces. ICPR 2016: 3639-3644 - [c3]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Score thresholding for accurate instance classification in multiple instance learning. IPTA 2016: 1-6 - [i2]Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon:
Feature Learning from Spectrograms for Assessment of Personality Traits. CoRR abs/1610.01223 (2016) - [i1]Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon:
Multiple Instance Learning: A Survey of Problem Characteristics and Applications. CoRR abs/1612.03365 (2016) - 2015
- [c2]Marc-Andre Carbonneau, Alexandre J. Raymond, Eric Granger, Ghyslain Gagnon:
Real-time visual play-break detection in sport events using a context descriptor. ISCAS 2015: 2808-2811 - 2013
- [c1]Marc-Andre Carbonneau, Ghyslain Gagnon, Robert Sabourin, Jean Dubois:
Recognition of blowing sound types for real-time implementation in mobile devices. NEWCAS 2013: 1-4
Coauthor Index
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