UPC ETSETB TelecomBCN (June 25 - July 3, 2019)
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.
Tuesday, June 25 @ D5-010
15:00 D1L1 Welcome (XG)
15:25 Project: Snakes Fine-grained Classification (XG, KM, FR, OM & BO)
16:25 Break
16:35 D1L2 Image Classification (XG) [Slides]
17:00 D1L3 Object Detection (AG)
17:25 Break
17:35 D1L4 Face Detection & Recognition (RM)
18:00 D1L5 Video Classification (XG)
18:25 D1L6 Object Tracking (AG)
19:00 End of the day
Wednesday, June 26 @ D5-010
15:00 D2L1 3D Analysis (JR)
15:25 D2L2 Image segmentation (AP)
15:50 D2L3 Object Segmentation (AP)
16:15 Break
16:35 D2L4 Retrieval (KM)
17:00 D2L5 Visual Generation I (AP)
17:25 D2L6 Visual Generation II (AP)
18:00 Project: Snakes Fine-grained Classification (KM, FR, OM & BO)
19:00 End of the day
Thursday, June 27 @ D5-010
15:00 D3L1 3D Reconstruction I (ER)
15:25 D3L2 3D Reconstruction II (ER)
15:50 Project: Snakes Fine-grained Classification (KM, LL, FR, OM & BO)
16:50 Break
17:15 D3L3 Similarity Learning (LL)
17:35 D3L4 Bayesian Deep Learning (LL)
18:00 D3L5 Neural Network Visualization (LL)
18:25 D3L6 Autoencoders (LL)
19:00 End of the day
Friday, June 28 @ Aula Master A3 (Open Day)
15:00 Petia Radeva (UB-CVC), “Food Image Analysis - a perfect test to understand what Transfer learning can do”
15:25 Adrià Arbués (UPF), “Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion” (ICAIS 2019)
15:50 Kevin McGuinness (DCU-Insight), “Unsupervised label noise modeling and loss correction” (ICML 2019)
16:15 Carles Ventura (UOC), “RVOS: End-to-End Recurrent Network for Video Object Segmentation”(CVPR 2019)
16:45 Break
17:00 Pau Riba (UAB-CVC), “Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval”(CVPR 2019 - oral)
17:25 Laura Leal-Taixé (TUM), “Understanding the Limitations of CNN-based Absolute Camera Pose Regression” (CVPR 2019)
17:50 Albert Pumarola (UPC-IRI), “Deep Learning for Human-Centrinc Applications in AR/VR.”
18:15 Amaia Salvador (UPC-IDEAI), “Inverse Cooking: Recipe Generation from Food Images” (CVPR 2019)
18:15 End of the day
Monday, July 1 @ D5-010
15:00 D4L1 Medical Imaging (ES)
15:25 D4L2 Saliency (KM)
15:50 D4L3 Noisy labels (KM)
16:15 Project: Snakes Fine-grained Classification (KM, FR, OM & BO)
17:15 Break
17:45 D4L4 Vision and Language I (XG)
18:10 D4L5 Vision and Language II (XG)
18:35 D4L6 Vision and Speech (XG)
19:00 End of the day
Wednesday, July 3 @ D5-010
15:00 Exam (KM)
16:30 Student project expos (KM)
18:50 Closing & homework (KM)