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Programme
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‹ mercredi 6 juillet 2022 › |
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09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
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›9:00 (25min)
›9:25 (1h)
›10:25 (25min)
›10:50 (25min)
›11:15 (25min)
›11:40 (25min)
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvinec (Datakalab); Arnaud Dapogny (UPMC); Matthieu Cord (lip6); Kevin Bailly (Sorbonne University & Datakalab) ›12:05 (25min)
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi (CNAM), Nicolas Thome (CNAM), Clément Rambour (CNAM), Nicolas Audebert (CNAM), Xavier Bitot (Coexya) ›12:30 (1h15)
›14:00 (1h)
›15:00 (15min)
Sparse to Dense Dynamic 3D Facial Expression Generation
Naima Otberdout (University of Lille, CRIStAL), Claudio Ferrari (University of Parma), Mohamed Daoudi (IMT Lille Douai), Stefano Berretti (University of Florence, Italy), Alberto Del Bimbo (University of Florence) ›15:15 (15min)
A Riemannian Framework for Analysis of Human Body Surface
Emery Pierson (Université de Lille), Mohamed Daoudi (IMT Lille Douai), Alice Barbara Tumpach (Universite Lille) ›15:30 (15min)
Asymmetrical Bi-RNN for Pedestrian Trajectory Encoding
Raphaël Rozenberg (MINES ParisTech), Joseph Gesnouin (MINES ParisTech), Fabien Moutarde (Mines ParisTech) ›15:45 (30min)
›17:15 (15min)
Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views
Pierre Zins (Inria), Yuanlu Xu (Facebook Reality Labs), Edmond Boyer (Inria), Stefanie Wuhrer (Inria), Tony Tung (Facebook Reality Labs) ›17:30 (15min)
Human Motion Prediction Using Manifold-Aware Wasserstein GAN
Baptiste Chopin (University of Lille), Naima OTBERDOUT (University of Lille), Mohamed Daoudi (IMT Lille Douai), Angela Bartolo (University of Lille) ›19:00 (4h)
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| Session | Discours | Logistique | Pause | Sortie |
