Reading group in Pattern Recognition and Computer Vision

Czech Technical University in Prague

Faculty of Electrical Engineering

• Reading groups
• XP33RCV course
• Suggested papers
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Past presentations

	04/07/24  11:00	High-resolution image reconstruction with latent diffusion models from human brain activity, CVPR 2023 Presented by Akash Chaudhary,
	27/06/24  11:00	Tracking Everything Everywhere All At Once, ICCV 2023 Presented by Pavlo Yefanov,
	13/06/24  11:00	DUSt3R: Geometric 3D Vision Made Easy, CVPR 2024 Presented by Valentýn Číhala,
	11/06/24  11:00	RoMa: Robust Dense Feature Matching, CVPR 2024 Presented by Martin Cífka,
	28/05/24  11:00	Emerging Properties in Self-Supervised Vision Transformers, ICCV 2021 DINOv2: Learning Robust Visual Features without Supervision, arxiv 2024 Presented by Georgy Ponimatkin,
	30/01/24  11:00	3D Gaussian Splatting for Real-Time Radiance Field Rendering, SIGGRAPH 2023 Presented by Tomáš Jelínek,
	25/01/24  11:00	Revisiting the P3P Problem , CVPR 2023 Presented by Václav Vávra,
	23/01/24  11:00	Efficient Geometry-aware 3D Generative Adversarial Networks, CVPR 2022 Presented by Jan Ferbr,
	18/01/24  11:00	Adding Conditional Control to Text-to-Image Diffusion Models, ICCV 2023 Presented by Klara Janouskova,
	11/01/24  11:00	Learning to Detect Scene Landmarks for Camera Localization, CVPR 2022 Presented by Cardozo Shawn Moses,
	10/07/23  11:00	I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation, IJCAI 2022 Presented by Miroslav Purkrábek,
	10/01/23  11:00	Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers, NeurIPS 2021 Presented by Petr Vanc,
	17/01/23  11:00	Progressive Correspondence Pruning by Consensus Learning, ICCV 2021 Presented by Tong Wei,
	19/01/23  11:00	High-Resolution Image Synthesis with Latent Diffusion Models, CVPR 2022 Presented by Nela Petrželková,
	24/01/23  11:00	S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching, ECCV 2020 Presented by Jiří Ulrich,
	26/01/23  11:00	NeFSAC: Neurally Filtered Minimal Samples, ECCV 2022 Presented by Charalambos Tzamos,
	2/02/23  11:00	CrossTransformers: spatially-aware few-shot transfer, NeurIPS 2020 Presented by Monish Keswani,
	15/12/22  11:00	Splicing ViT Features for Semantic Appearance Transfer, CVPR 2022 Presented by Nikolaos-Antonios Ypsilantis
	09/06/22  11:00	UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction Presented by Varun Burde
	07/06/22  11:00	OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Presented by Zdeněk Rozsypálek

	02/06/22  11:00	NeRF in detail: Learning to sample for view synthesis Presented by Diana Sungatullina
	31/05/22  11:00	Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Presented by Vladan Stojnic
	26/05/22  11:00	EditGAN:High-precision semantic image editing Presented by Adela Subrtova
	12/05/22  11:00	Gradient based sample selection for online continual learning Presented by Ai Jianhang
	10/05/22  11:00	Understanding Vision Transformers Presented by Klara Janouskova
	03/02/22  11:00	Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task, CVPR 2020 Presented by Arash Amjadi, slides
	01/02/22  11:00	Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly, PAMI 2018 Presented by Pavel Suma, slides
	27/01/22  11:00	Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, 3DV 2021 Presented by Afzal Ahmad, slides
	25/01/22  11:00	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, NAACL-HLT 2019 Presented by Ondrej Kobza, slides
	20/01/22  11:00	Self-supervised video object segmentation by motion grouping, ICCV 2021 Presented by Juliette Bertrand, slides
	06/01/22  11:00	Decision Transformer: Reinforcement Learning via Sequence Modeling, NeurIPS 2021 Presented by Aurele HAINAUT, slides

	11/01/22  11:00	Pixel-Perfect Structure-from-Motion with Featuremetric Refinement, ICCV 2021 Presented by Pietrantoni Maxime, slides
	13/01/22  11:00	Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains, NeurIPS 2020 Presented by Shubhan Patni, slides
	14/12/21  11:00	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,, ECCV 2020 Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields, ICCV 2021 Presented by Jonas Kulhanek , slides
	07/12/21  11:00	Convolutional Occupancy Networks, ECCV 2020 Presented by Jan Kúdelka , slides
	9/12/21  11:00	Visformer: The Vision-Friendly Transformer, ICCV 2021 Presented by Nikita Sokovnin , slides
	11/11/21  11:00	Online Class-Incremental Continual Learning with Adversarial Shapley Value, AAAI 2021 Presented by Arti Bandhana slides
	26/10/21	End-to-End Object Detection with Transformers, ECCV 2020 Presented by Volodymyr Zabulskyi slides
	21/10/21	Fast end-to-end learning on protein surfaces, CVPR 2021 Presented by Petr Kouba slides
	14/10/21	Deep semi-supervised learning with consistency loss Material: [1] [2] [3 ] Presented by Awet Haileslassie Gebrehiwot, slides,
	29/07/21	Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee , Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg , and Jeannette Bohg, IEEE TRANSACTIONS ON ROBOTICS, 2020 Presented by Louis Montaut, slides,
	22/04/21	Domain-Adversarial Training of Neural Networks Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M. and Lempitsky, V., JMLR 2016 Presented by Nikos Efthymiadis, slides,
	02/03/21	Transporter Networks: Rearranging the Visual World for Robotic Manipulation Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee, CoRL 2020 Presented by Kateryna Zorina , slides
	25/02/21	Class-Balanced Loss Based on Effective Number of Samples Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie, CVPR 2019 Presented by Kang Cheng , slides
	12/01/21	Support-set bottlenecks for video-text representation learning, Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, João Henriques, Andrea Vedaldi, ICLR 2021 Presented by Tomas Soucek, slides
	15/12/20	SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich, CVPR 2020 Presented by Ilia Shipachev, slides
	10/12/20	Contrastive learning for visual representations - Part 2 Material: [1] [2] Presented by Antonin Vobecky, slides
	08/12/20	Contrastive learning for visual representations - Part 1 Material: [1] [2] Presented by Patrik Vacek, slides
	01/12/20	DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization Juan Du, Rui Wang, Daniel Cremers, ECCV 2020 Presented by Vojtěch Pánek, slides
	26/11/20	Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman. ECCV 2020 Presented by Yash Patel, slides
	23/10/20	Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks Hossein Hajimirsadeghi and Greg Mori. PAMI 2017 Presented by Dennis Baručić, slides
	13/10/20	High-Frequency Component Helps Explain the Generalization of Convolutional Neural_Networks Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing. CVPR 2020 Presented by Filip Naiser, slides
	9/09/20	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. CVPR 2018 Presented by Michal Neoral, slides
	11/06/20	Deep Hough Voting for 3D Object Detection in Point Clouds Charles Qi, Or Litany, Kaiming He, Leonidas J. Guibas. ICCV 2019 Presented Jan Bayer, slides
	14/05/20	Variational Autoencoders with application to unsupervised representation learning Material: main paper, VAE background, optional1, optional2 Presented by Yash Patel, slides
	14/04/20	node2vec: Scalable feature learning for networks A. Grover, J. Leskovec. ACM SIGKDD 2016 Presented by Tomáš Nováček, slides
	12/03/20	GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba. ICLR 2019 Presented by Jakub Žitný, slides
	14/01/20	Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr, ECCV 2018. Presented by Miloš Prágr, slides
	09/01/20	LOGAN: Latent Optimisation for Generative Adversarial Networks Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap Presented by Michal Šustr, slides
	21/11/19	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. Wichmann, W. Brendel, ICLR 2019 Presented by Nikos Efthymiadis, slides
	05/11/19	Event-Based Motion Segmentation by Motion Compensation T. Stoffregen, G. Gallego, T. Drummond,L. Kleeman, D. Scaramuzza. ICCV 2019 Presented by Holesovsky Ondrej, slides
	12/09/19	The Inverted Multi-Index A. Babenko and V. Lempitsky, PAMI 2014 Presented by Denis Efremov, slides
	05/09/19	Video Propagation Networks V. Jampani, R. Gadde and P. Gehler, CVPR 2017 Presented by Jonas Serych, slides
	30/08/19	A General Solver Based on Sparse Resultants I. Emiris, PoSSo 1995, Presented by Pavel Trutman, slides
	26/3/19	Dynamic Graph CNN for Learning on Point Clouds Y. Wang, Y. Sun, Z. Liu, S. Sarma, M. Bronstein, J. Solomon, arxiv 2018, Presented by Otakar Jašek, slides
	17/1/19	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks C. Finn, P. Abbeel, S. Levine, ICML 2017, Presented by Teymur Azayev, slides
	20/11/18	Semi-supervised classification with graph convolutional networks T. Kipf and M. Welling, ICLR 2017, Presented by Radim Špetlík, slides
	24/05/18	Fast edge detection using structured forests P. Dollar and L. Zitnick, PAMI 2015, Presented by Vojtěch Cvrček, slides
	24/04/18	Compressed Sensing David L. Donoho, IEEE Transacations on Information Theory, 2006 Presented by Rickard Hole Falck
	27/03/18	Dynamic Routing Between Capsules S. Sabour, N. Frosst, G. Hinton, NIPS 2017 Presented by Karel Ha, slides.
	14/12/17	Deformable Convolutional Networks J. Dai, H. Qi, Y. Xiong, Y. Li,. Zhang, H. Hu, Y. Wei, ICCV 2017 Presented by Tomáš Jeníček, slides.

Any questions or suggestions about the reading group should be addressed to Giorgos Tolias and Torsten Sattler.