This repository is intended to keep record of the paper discussed at the weekly IVUL group readings.
Ongoing list of suggested papers
| Date | Description | Readings | Presenter |
|---|---|---|---|
| Thu, Aug 6, 2018 | PyTorch Tutorial | Notebook |  Modar Alfadly |
| Thu, Sept 20, 2018 | CVPR guidelines, group normilzation | Slides |  Fabian Caba |
| Thu, Sept 27, 2018 | Computational phtography, Image tone mapping | Slides |  Ali Thabet |
| Tue, Oct 2nd, 2018 | Capsule Networks | Slides | Modar Alfadly |
| Tue, Oct 9th, 2018 | Domain Randomization and its Use for Implicit 3D | Slides |  Jean Lahoud |
| Tue, Oct 16th, 2018 | Siamese Networks for tracking | Slides |  Jesus Zarzar |
| Tue, Oct 23th, 2018 | Adversarial attacks | slides |  Salman |
| Tue, Nov 27th, 2018 | Attention Is All You Need paper post LAMV paper |
- |  Victor |
| Tue, Dec 4th, 2018 |  Matthias |
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| Tue, Jan 8th, 2019 | Differentiable Rendering | Slides\ Notebook |  Abdullah |
| Tue, Jan 15th, 2019 | paper1 paper2 |  Humam |
|
| Tue, Jan 22th, 2019 | paper1 paper2 |  Mattia |
|
| Tue, Jan 29th, 2019 | Pointwise Convolutional Neural Networks Image Generation from Scene Graphs |
 Merey |
|
| Tue, Feb 5th, 2019 | On the Information Bottleneck Theory of Deep Learning Video Re-localization |
 Frost |
|
| Tue, Feb 12th, 2019 | YOLO9000: Better, Faster, Stronger (YOLOv2) 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation |
 Silvio |
|
| Tue, Feb 19th, 2019 |  Guohau |
| Date | Description | Readings | Presenter |
|---|---|---|---|
| Thu, May 25, 2017 | Tensor Decompositions | Link1 Slides Material_2 Material_3 Material_4 |
 Adel Bibi |
| Thu, June 22, 2017 | Understanding Deep Networks from a Geometric and Probabilistic Perspectives | Slides | Modar Alfadly Adel Bibi |
| Thu, July 6, 2017 | Weakly Supervised Learning | Yongqiang Zhang | |
| Thu, July 13, 2017 | Football Analytics | Slides | Mohieddine and Tarek |
| Thu, July 20, 2017 | Color Transfer for Underwater Images Color Correction | Slides | Rafal Protasiuk & Adel Bibi |
| Thu, July 27, 2017 | Deep Reinforcement Learning | Slides Example |
Guohao Li |
| Thu, Aug 3, 2017 | Dense Captioning | Slides | Silvio Giancola |
| Thu, Aug 10, 2017 | Deep Augmentation for Image and Activity Recognition | Slides | Abduallah Hamdi |
| Thu, Aug 17, 2017 | Hourglass Networks | Slides |  Chen Zhao |
| Thu, Sept 14, 2017 | CVPR18 Progress Work | TBD | All IVUL members |
| Thu, Sept 21, 2017 | Self Supervision | Slides |  Lama Affara |
| Thu, Sept 28, 2017 | SLURM/Submitting jobs to Skynet | Slides | Fabian Caba |
| Thu, Oct 5, 2017 | Active Learning | Slides | Fabian Caba |
| Thu, Oct 12, 2017 | VLAD | Slides | Silvio Giancola |
| Thu, Oct 19, 2017 | Zero Shot Learning | Slides |  Noor Bafageeh |
| Thu, Oct 26, 2017 | Compressing Deep Neural Networks | Slides | Chen Zhao |
| Thu, Feb 1, 2018 | Video Object Detection | TBD |  Yancheng Bai |
| Thu, Sept 20 , 2018 | CVPR guidelines, group normilzation | Slides | Fabian Caba |
| Thu, Sept 27, 2018 | Computational phtography, Image tone mapping | Slides | Ali Thabet |
| Date | Description | Readings | Presenter |
|---|---|---|---|
| Thu, Nov 24, 2016 | Introduction to Reinforcement Learning, Markov Processes, Markov Reward Processes, and Markov Decision Processes. | Link1 Link2 |
Adel Bibi |
| Thu, Dec 1, 2016 | Dynamic Programming For solving MDBs, and Model-Free Prediction/Control. | Link1 Link2 | Adel Bibi |
| Thu, Dec 8, 2016 | Q-Learning | Link1 | Matthias Mueller |
| Thu, Jan 19, 2017 | Generative Adversarial Networks (GANs) | Slides Extra | Victor Escorcia |
| Thu, Jan 26, 2017 | Optimization Inspired Network Design | Slides |  Jian Zhang |
| Thu, Feb 2, 2017 | Bayesian Optimization | Slides | Lama Affara |
| Thu, Feb 9, 2017 | Siamese Networks and Some Applications | Slides | Jean Lahoud |
| Thu, Feb 16, 2017 | Imitation Learning | Slides | Fabian Caba |
| Thu, Feb 23, 2017 | New DL Architectures | Slides | Yancheng Bai |
| Thu, Mar 2, 2017 | Parameterized Convolutional Sparse Coding | Slides |  Sara Shaheen |
| Thu, Mar 23, 2017 | Transfer Learning | Link Slides | Modar Alfadly |
| Thu, Mar 30, 2017 | Deep Reinforcement for Sensorimotor Control | Slides | Matthias Mueller |
| Thu, April 13, 2017 | Online Learning | Slides | Abduallah Hamdi |
| Thu, April 20, 2017 | Visual Attributes and GANs | Slides | Noor Bafageeh |
| Thu, April 27, 2017 | Hash Learning | Slides |  Jia-Hong Huang |
| Thu, May 4, 2017 | Memory Networks | Slides | Humam AlWassel |
| Date | Description | Readings | Presenter |
|---|---|---|---|
| Thu, Aug 18, 2016 | Attention Models | TBD | Victor Escorcia |
| Thu, Aug 25, 2016 | Trends in Action Detection | TBD | Fabian Caba |
| Thu, Sept 1, 2016 | Determinantal Point Process | TBD |  Baoyuan Wu |
| Thu, Sept 8, 2016 | Visual question answering | Slides | Jia-Hong Huang |
| Thu, Sept 22, 2016 | Introduction to Proximal Algorithms | Slides | Lama Affara |
| Thu, Sept 29, 2016 | 2D object detection with emphasis on Faster RCNN | TBD | Jean Lahoud |
| Thu, Oct 6, 2016 | Sparse/Low Rank Subspace Clustering | TBD | Adel Bibi |
| Thu, Oct 20, 2016 | Deep Reinforcement Learning | TBD | Matthias Mueller |
| Thu, Oct 27, 2016 | Majorization Minimization Algorithms | Slides |  Ganzhao Yuan |
| Thu, Nov 3, 2016 | Overview of Sketch Based Derived Applications and Techniques | TBD | Sara Shaheen |