Inria STARS Deep Learning for Computer Vision
Fall 2021-2022
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Lecture	Date	Topic	Instructor	Course Materials	TP/TD
Week 1
1	Tue 14/09/2021	Introduction. Neural Networks Basic	Francois, Hao	slides F. (pdf) video F. (mp4) slides H. (pdf) video H. (mp4)	TP1
Week 2
2	Tue 28/09/2021	Convolutional Neural Networks Architecture	Hao	slides (pdf) video H. (mp4)	TP2
Week 3
3	Tue 5/10/2021	Object Detection 1	Valeriya	slides (pdf) video Valeriya (mp4) video Valeriya TP3 (mp4)	TP3
Week 4
4	Tue 12/10/2021	Object Detection 2	Francois	slides1 (pdf) slides2 (pdf) video Francois (mp4) video Valeriya TP4 (mp4)	TP4
Week 5
5	Tue 19/10/2021	Video classification: RNN, LSTM, GRU	Farhood	slides (pdf) video1 (mp4) video2 (mp4)	TP5 TP5 TP5
Week 6
6	Tue 26/10/2021	Action Recognition: 3D CNN, TCN	Rui	slides (pdf) video1 (mp4) video2 (mp4)	TP6 TP6 TP6
Week 7
7	Tue 2/11/2021	Attention mechanisms: SEN, Self-attention, VPN, PDAN, Transformer, ViT, ViviT	Rui	slides (pdf) video attention mechanism (mp4) video transformers (mp4)	TP7: Positional encoding TP7: Self-attention + TP7: Transformer for Text
Week 8
8	Tue 9/11/2021	Generative Adversarial Networks (GANs): CGan, Image2Image translation, DCGan, CycleGan, StyleGan, BigGan, Video Generation, Deep Fake	Valeriya - Antitza	slides (pdf) video1 (mp4) video DeepFake (mp4)	TP8
Week 9
9	Tue 16/11/2021	Generative Adversarial Networks (GANs): VAE, GAN evaluation	Valeriya - David	slides (pdf) video2 (mp4) video TP (mp4)	TP8 slides (pdf)
Week 10
10	Tue 23/11/2021	Final Project Presentations