Machine Learning Reading Club

Rainbow group organizes weekly meetings of the Reading Club. Our goal with this group is to encourage reading and organic discussion of the presented paper on the topic of interest to the group.

If, over the past weeks, you have been going over an interesting conference paper, book chapter, blog post or any other medium, then this meeting is an opportunity for you to articulate and debate those ideas within a focused discussion.

By default, the participants will not be expected to have read or understood the work, so the discussion hinges on the presenters' ability to convey the essence of the material effectively to the others. We encourage to present freely and informally.

To present: email the material to Fazilet (fg405) or Aamir (am2806) up to 48 hours before the meeting and we will distribute it to the participants in the mailing list.
Venue and time: we are meeting every Friday, 15.00-16.00, currently via zoom (link is distributed over the email). The time is updated at the beginning of every term.
To subscribe: email Fazilet (dai24) or Aamir (am2806) to be added to the mailing list. Before every meeting we advertise the paper and make anouncements. Being on the mailing lists helps you to be updated.
The group is grateful for starting and running the club to Maria Perez-Ortiz, Dan Andrei Iliescu and Aliaksei Mikhailiuk.

Upcoming Papers

Presented Papers

Shitong Luo, Wei Hu, 2021. Diffusion Probabilistic Models for 3D Point Cloud Generation. CVPR 2021.
Prafulla Dhariwal, Alex Nichol, 2021. Diffusion Models Beat GANs on Image Synthesis..
Date: 25-06-2021 Presenter: Param Hanji

A brief overview of the research done in the field of Foveated Rendering (or Gaze-Contingent Rendering).
Date: 04-06-2021 Presenter: Akshay Jindal

Zachary Teed, Jia Deng, 2020. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. ECCV 2020.
Date: 09-04-2021 Presenter: Param Hanji

Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe, 2018. Analyzing Inverse Problems with Invertible Neural Networks
Date: 05-02-2021 Presenter: Param Hanji

Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi, 2020. NASA Neural Articulated Shape Approximation , ECCV 2020
Date: 26-01-2021 Presenter: Joseph March

Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, 2018. SparseFool: a few pixels make a big difference
Date: 20-11-2020 Presenter: Fazilet Gokbudak

Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson, 2020. Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Date: 25-09-2020 Presenter: Param Hanji

Abdelhamed A., and et. al., 2019. Noise Flow: Noise Modeling with Conditional Normalizing Flows ICCV.
Date: 04-09-2020 Presenter: Param Hanji

Eldesokey A. and et. al., 2020. Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR.
Date: 17-07-2020 Presenter: Param Hanji

Kim S. and et. al., 2020. Adversarial Video Compression Guided by Soft Edge Detection ICASSP.
Date: 10-07-2020 Presenter: Maryam Azimi

Shaham TR. and et. al., 2019. SinGAN: Learning a Generative Model from a Single Natural Image ICCV.
Date: 03-07-2020 Presenter: Aamir Mustafa

Iliescu A. and et. al. 2020. Disentangling Domain and Content. Under review for NeurIPS
Date: 26-06-2020 Presenter: Andrei Iliescu

Chen Z. and et. al., 2020. BSP-Net: Generating Compact Meshes via Binary Space PartitioningCVPR.
Date: 19-06-2020 Presenter: Fangcheng Zhong

Sheng C. and et. al., 2020. Lossless Image Compression through Super-Resolution arxiv.
Date: 05-06-2020 Presenter: Maryam Azimi

Gulrajani I. and et. al., 2017. Improved Training of Wasserstein GANs NeurIPS.
Date: 22-05-2020 Presenter: Aliaksei Mikhailiuk

Khan S. and et. al., 2019. Striking the Right Balance with Uncertainty CVPR.
Date: 15-05-2020 Presenter: Param Hanji

Yi K. and et. al., 2020. CLEVRER: CoLlision Events for Video REpresentation and Reasoning ICLR.
Date: 08-05-2020 Presenter: Maryam Azimi

Ledig C. and et. al., 2017. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network CVPR.
Date: 01-05-2020 Presenter: Aamir Mustafa

Wang X. and et. al., 2019. EDVR: Video Restoration with Enhanced Deformable Convolutional Networks CVPR.
Date: 24-04-2020 Presenter: Aliaksei Mikhailiuk

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis CVPR.
Date: 17-04-2020 Presenter: Dingcheng Yue

Tinghui Zhou, Matthew Brown, Noah Snavely and David Lowe, 2017. Unsupervised Learning of Depth and Ego-Motion from Video CVPR.
Date: 10-04-2020 Presenter: Param Hanji

Yochai Blau and Tomer Michaeli, 2018. The Perception-Distortion Tradeoff CVPR.
Date: 03-04-2020 Presenter: Aliaksei Mikhailiuk

Manzil Zaheer, Satwik Kottur, Siamak Ravanbaksh, Barnabas Poczos, Ruslan Salakhutdinov, Alexander Smola, 2017. Deep Sets NIPS.
Date: 27-03-2020 Presenter: Andrei Iliescu

Ken Dahm and Alexander Keller, 2017. Learning Light Transport the Reinforced Way SIGGRAPH.
Date: 31-01-2020 Presenter: Akshay Jindal

Tim Meinhardt, Michael Moeller, Caner Hazirbas and Daniel Cremers, 2017. Learning Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems ICCV.
Date: 24-01-2020 Presenter: Dingcheng Yue

Sudhanshu Mittal, Maxim Tatarchenko, Ozgun Cicek, Thomas Brox, 2019. Parting with Illusions about Deep Active Learning. arxiv.
Date: 17-01-2020 Presenter: Aamir Mustafa

Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas, 2019. Learning to learn by gradient descent by gradient descent. NIPS.
Date: 06-12-2019 Presenter: Param Hanji

Gabriel Schwartz and Ko Nishino, 2019. Recognizing Material Properties from Images. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Date: 29-11-2019 Presenter: Ali Ozgur Yontem

Yarin Gal and Zoubin Ghahramani, 2016. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. International Conference on Machine Learning (ICML).
Date: 02-11-2019 Presenter: Andrei Iliescu

Vincent Sitzmann, Michael Zollhofer, Gordon Wetzstein, 2019. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. NIPS.
Date: 25-10-2019 Presenter: Dingcheng Yue

Yang, Xin and Xu, Ke and Song, Yibing and Zhang, Qiang and Wei, Xiaopeng and Rynson, Lau 2018. Image Correction via Deep Reciprocating HDR Transformation. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 18-10-2019 Presenter: Param Hanji

A. Pumarola, A. Agudo, A.M. Martinez, A. Sanfeliu and F. Moreno-Noguer, 2019. GANimation: Anatomically-aware Facial Animation from a Single Image. International Journal of Computer Vision (IJCV).
Date: 11-10-2019 Presenter: Nikhil Churamani

German I. Parisi, Jun Tani, Cornelius Weber and Stefan Wermter, 2019. Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers in neurorobotics.
Date: 12-07-2019 Presenter: Nikhil Churamani

Yu-Sheng Chen, Yu-Ching Wang, Man-Hsin Kao and Yung-Yu Chuang, 2018. Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 05-07-2019 Presenter: Aliaksei Mikhailiuk

Thies Justus, Zollhofer Michael and Niebner Matthias, 2019. Deferred Neural Rendering: Image Synthesis using Neural Textures. ACM Transactions on Graphics (ToG).
Date: 14-06-2019 Presenter: Akshay Jindal

Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Hailin Jin, Rafael Fonte, Michael Sittig and David Forsyth, 2014. Automatic Scene Inference for 3D Object Compositing. ACM Transactions on Graphics (ToG).
Date: 07-06-2019 Presenter: Fangcheng Zhong

Miika Aittala and Fredo Durand, 2018. Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. European Conference on Computer Vision (ECCV).
Date: 31-05-2019 Presenter: Dingcheng Yue

Lemao Liu, Masao Utiyama, Andrew Finch and Eiichiro Sumita, 2016. Neural Machine Translation with Supervised Attention. International Conference on Computational Linguistics (ICCL).
Date: 24-05-2019 Presenter: Gladys Tyen

Jonathan T. Barron, 2019. A General and Adaptive Robust Loss Function. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 17-05-2019 Presenter: Dingcheng Yue

Eslami, S. M. Ali et. al., 2018. Neural Scene Representation and Rendering. Science.
Date: 10-05-2019 Presenter: Andrei Iliescu

Irina Higgins et. al., 2017. β-VAE: Learning Basic Visual Concepts With a Constrained Variational Framework. International Conference on Learning Representations (ICLR).
Date: 13-03-2019 Presenter: Andrei Iliescu

Kwan-Yee Lin and Guanxiang Wang, 2018. Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 13-03-2019 Presenter: Aliaksei Mikhailiuk

Stephan R. Richter and Stefan Roth, 2018. Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 26-06-2018 Presenter: John F. Bronskill

Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin and David Lopez-Paz, 2018. mixup: Beyond Empirical Risk Minimization. International Conference on Learning Representations (ICLR).
Date: 15-05-2018 Presenter: Maria Perez-Ortiz

Charles R. Qi, Hao Su, Kaichun Mo and Leonidas J. Guibas, 2017. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 24-04-2018 Presenter: Eva Agapaki

Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky, 2018. Deep Image prior. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 17-04-2018 Presenter: Dingcheng Yue

Maheen Rashid, Xiuye Gu and Yong Jae Lee, 2017. Interspecies Knowledge Transfer for Facial Keypoint Detection. Conference on Computer Vision and Pattern Recognition (CVPR).
Date: 16-02-2018 Presenter: Marwa Mahmoud

Kaiming He, Georgia Gkioxari, Piotr Dollar and Ross Girshick, 2017. Mask R-CNN. International Conference on Computer Vision (ICCV).
Date: 01-12-2017 Presenter: Simeon Spasov

Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Yogamani, Martin Jagersand and Ahmad El-Sallab, 2018. MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving. IEEE International Conference on Intelligent Transportation Systems (ITSC).
Date: 24-11-2017 Presenter: Bihao Wang

Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang and Wanli Ouyang, 2017. T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos. IEEE Transactions on Circuits and Systems for Video Technology.
Date: 17-10-2017 Presenter: Maria Perez-Ortiz