| Date | Presenter | Title/Description | Materials |
| 31/01/2023 | Nona Rajabi |
Non-contrastive self-supervised vision learning -- Doersch et al., "Unsupervised visual representation learning by context prediction", ICCV 2015 -- Gidaris et al., "Unsupervised representation learning by predicting image rotations", ICLR 2018 |
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| 14/02/2023 | Farzaneh Taleb Najafabadi |
Contrastive self-supervised vision learning -- Chen et al., "A Simple Framework for Contrastive Learning of Visual Representations", ICML 2020 -- Chen et al., "Big Self-Supervised Models are Strong Semi-Supervised Learners", NeurIPS 2020 |
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| 28/02/2023 | Marcel Büsching |
FixMatch revisited, a current analysis of semi-supervised learning. -- Sohn et al., "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence", NeurIPS 2020 -- Grill et al., "Bootstrap your own latent: A new approach to self-supervised Learning", NeurIPS 2020 -- Wei et al., "Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data", ICLR 2021 |
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| 14/03/2023 | TBD | TBD | |
| 28/03/2023 | Sebastian Gerard |
Bardes et al., "VICRegL: Self-Supervised Learning of Local Visual Features", NeurIPS 2022 |
| Date | Presenter | Title/Description | Materials |
| 22/06/2021 | Carl Doersch (Invited Seminar) | "Learning and transferring visual representations with few labels: BYOL + CrossTransformers" | Seminar Page |
| 15/06/2021 | Johan Haslum | Zbontar et al., "Barlow Twins: Self-Supervised Learning via Redundancy Reduction", ICML 2021 | |
| 01/06/2021 | Giovanni Luca Marchetti | Chen et al., "A Simple Framework for Contrastive Learning of Visual Representations", ICML 2020 | Slides PDF |
| 18/05/2021 | Mathilde Caron (Invited Seminar) | Self-Supervised Learning of Visual Representations | Seminar Page |
| 04/05/2021 | Sebastian Gerard |
Samuli Laine, Timo Aila., "Temporal Ensembling for Semi-Supervised Learning", ICLR 2017 Pham et al., "Meta Pseudo Labels", arXiv 2021 |
Slides PDF |
| 27/04/2021 | Kai Han (Invited Seminar) |
"Transformer in Transformer" |
Seminar Page |
| 20/04/2021 | Hugo Touvron (Invited Seminar) Alaa El-Nouby (Invited Seminar) |
"Training data-efficient image transformers & distillation through attention / Going deeper with Image Transformers" "Training Vision Transformers for Image Retrieval" |
Seminar Page |
| 13/04/2021 | Mostafa Dehghani (Invited Seminar) |
"Temporal-Relational CrossTransformers for Few-Shot Action Recognition" |
Seminar Page |
| 06/04/2021 | Sofia Broomé Peiyang (Yonk) Shi |
Perrett et al., "Temporal-Relational CrossTransformers for Few-Shot Action Recognition", CVPR 2021 Zheng et al., "Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers" arXiv 2020 |
Slides PDF
Slides PDF |
| 23/03/2021 | Youssef Mohamed |
Devlin et al., "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding", NAACL 2019 Radford et al., "Improving Language Understanding by Generative Pre-Training", 2018 Brown et al., "Language Models are Few-Shot Learners", NeurIPS 2020 |
Slides PDF |
| 09/03/2021 | Federico Baldassarre |
Dosovitskiy et al., "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale", ICLR 2021 Carion et al., "End-to-End Object Detection with Transformers", ECCV 2020 Chen et al., "Generative Pretraining from Pixels", ICML 2020 |
Slides PDF |
| 23/02/2021 | Sebastian Bujwid | Vaswani et al., "Attention Is All You Need", NeurIPS 2017 | Slides PDF |
| 16/06/2020 | Miquel Marti | Zamir et al. "Robust Learning Through Cross-Task Consistency", CVPR 2020 | Slides PDF |
| 02/06/2020 | Yue Liu |
Kang et al., "Decoupling Representation and Classifier for Long-Tailed Recognition", ICLR 2020 Zhou et al., "BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition", CVPR 2020 |
Slides PDF |
| 19/05/2020 | Sofia Broome | Feichtenhofer et al., "SlowFast Networks for Video Recognition", ICCV 2019 | Slides PDF |
| 21/04/2020 | Xiaomeng (Mandy) Zhu | Qin et al. " PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation", NeurIPS 2019 | Slides PDF |
| 07/04/2020 | Johan Haslum |
Berthelot et al. "ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring", ICLR 2020 Berthelot et al. "MixMatch: A Holistic Approach to Semi-Supervised Learning", NeurIPS 2019 Sohn et al., "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence", arXiv 2019 |
Slides PDF |
| 24/03/2020 | Jevgenija Aksjonova |
Novak et al., "Neural Tangents: Fast and Easy Infinite Neural Networks in Python", ICLR 2020. Lee et al., "Deep Neural Networks as Gaussian Processes", ICLR 2018. |
Slides PDF |
| 25/02/2020 | David Mohlin | Shuai Liao, Efstratios Gavves, Cees G. M. Snoek, "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres", CVPR 2019 | Slides PDF |
| 11/02/2020 | Christos Matsoukas | Amirata Ghorbani, James Wexler, James Zou, Been Kim, “Towards Automatic Concept-based Explanations", NeurIPS 2019 | Slides PDF |
| 28/01/2020 | Emir Konuk | Tero Karras et al., "Analyzing and Improving the Image Quality of StyleGAN", arXiv 2019 | Slides PDF |
| 21/01/2020 | Matteo Gamba | Roman Novak, et al., "Sensitivity and generalization in neural networks: an empirical study", ICLR 2018 | Slides PDF |
| 03/12/2019 | Federico Baldassarre |
1) Peyre, et al., "Detecting unseen visual relations using analogies", ICCV 2019 2) Peyre, et al., "Weakly-Supervised Learning of Visual Relations", ICCV 2017 |
Slides PDF |
| 26/11/2019 | Daphna Weinshall | "Beyond Accuracy: Neural Networks Show Similar Learning Dynamics Across Architectures" | Slides PDF |
| 19/11/2019 | Lennart Van der Goten | Tsai et al. "Domain Adaptation for Structured Output via Discriminative Patch Representations", ICCV 2019 | Slides PDF |
| 05/11/2019 | Alexandros Ferles | 1) Mingxing Tan, Quoc V. Le, "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks", ICML 2019
2) Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu, "Squeeze-and-Excitation Networks", PAMI 2019 (CVPR 2018) |
Slides PDF |
| 22/10/2019 | Peiyang (Yonk) Shi | Xinlei Chen, Ross Girshick, Kaiming He, Piotr Dollar, "TensorMask: A Foundation for Dense Object Segmentation", ICCV 2019 | Slides PDF |
| 21/05/2019 | Marcus Klasson | Gupta, Schwenk, Farhadi, Hoiem, Kembhavi. "Imagine This! Scripts to Compositions to Videos", ECCV 2018 | Slides PDF |
| 07/05/2019 | Shuangshuang Chen | Yingzhen Li, Stephan Mandt. "Disentangled Sequential Autoencoder", ICML 2018 | Slides PDF |
| 23/04/2019 | Patrik Barkman | Gordon, J., Bronskill, J. F., Bauer, M., Nowozin, S., & Turner, R. E. "Meta-Learning Probabilistic Inference for Prediction", ICLR 2019 | Slides PDF |
| 09/04/2019 | Sebastian Bujwid | Nguyen, Duy-Kien, and Takayuki Okatani. "Improved fusion of visual and language representations by dense symmetric co-attention for visual question answering." CVPR 2018 | Slides PDF |
| 26/03/2019 | Miquel Marti | Ozen Sener and Vladlen Koltun, "Multi-Task Learning as Multi-Objective Optimization", NIPS 2018 | Slides PDF |
| 12/03/2019 | Qi Dang | Toneva et al. "AN EMPIRICAL STUDY OF EXAMPLE FORGETTING DURING DEEP NEURAL NETWORK LEARNING", ICLR 2019 | Slides PDF |
| 26/02/2019 | Louise Rixon Fuchs | Lin et al. "Focal loss for dense object detection", PAMI 2018 | Slides PDF |
| 12/02/2019 | Yue Liu | Liu et al. "Rethinking the Value of Network Pruning", ICLR 2019 | Slides PDF |
| 29/01/2019 | Vladimir Li | Carreira&Zisserman, "Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset", CVPR 2017 | Slides PDF |
| 04/12/2018 | Sofia Broome | Feichtenhofer et al. "What have we learned from deep representations for action recognition?", CVPR 2018 | Slides PDF |
| 27/11/2018 | Vahan Petrosyan | Vahan Petrosyan, "From Fast, Robust and Scalable Unsupervised Learning to Semi-Supervised Learning algorithms" Petrosyan&Proutiere. "Viral clustering: A robust method to extract structures in heterogeneous datasets.", AAAI 2016 Petrosyan&Proutiere. "Viral initialization for spectral clustering.", ESANN 2017 Petrosyan et al. "Superpixel segmentation via penalized average linkage cuts", WACV 2019 |
Slides PDF Lic Thesis |
| 20/11/2018 | Jevgenija Aksjonova | Lunz et al. "Adversarial Regularizers in Inverse Problems", NIPS 2018 | Slides PDF |
| 06/11/2018 | David Molin | Rebuffi et al. "Learning multiple visual domains with residual adapters", NIPS 2017 | Slides PDF |
| 23/10/2018 | Christos Matsoukas | Furlanello et al. "Born Again Neural Networks" ICML 2018 | Slides PDF |
| 09/10/2018 | Emir Konuk | Higgins et al. "beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework" ICLR 2017 | Slides PDF |
| 02/10/2018 | Matteo Gamba | Dinh et al. "Sharp Minima Can Generalize For Deep Nets" ICML 2017 Sagun et al. "Empirical analysis of the Hessian of over-parametrised neural networks" ICLR 2018 Workshop |
Slides PDF |
| 18/09/2018 | Federico Baldassarre | Xu et al. "Scene Graph Generation by Iterative Message Passing" CVPR 2017 | Slides PDF |
| 20/10/2017 | Hossein Azizpour | Zhang et al. "Understanding deep learning requires rethinking generalization" ICLR 2017 | Slides PDF |
| 22/05/2015 | Ali Sharif Razavian | J. Weston, S. Chopra, A. Bordes "Memory Networks" In ICLR 2015 | |
| 10/04/2015 | Roelof Pieters | F. Hill, A. Korhonen, K. Cho, Y. Bengio "Learning to Understand Phrases by Embedding the Dictionary" In arXiv 2015 | |
| 27/03/2015 | Hossein Azizpour | Xiao Lin, Devi Parikh "Dont Just Listen, Use Your Imagination:Leveraging Visual Common Sense for Non-Visual Tasks" In CVPR 2015 | |
| 13/03/2015 | Amaru Cuba Gyllensten | Zhang and LeCun "Text Understanding from Scratch" In arXiv 2015 | |
| 20/02/2015 | Roelof Pieters Ali Sharif Razavian |
R. Socher, M. Ganjoo, H. Sridhar, O. Bastani, C. Manning, and A. Ng. "Zero-shot learning through cross-modal transfer." In ICLR 2013 A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov "Devise: A deep visual-semantic embeddingmodel." In NIPS, 2013 |
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| 13/02/2015 | Yang Zhong | Y. Sun, X. Wang, and X. Tang "Deep Learning Face Representation from Predicting 10,000 Classes." CVPR 2014
Y. Sun, X. Wang, and X. Tang "Deep Learning Face Representation by Joint Identification-Verification." arXiv 2014 Y. Sun, X. Wang, and X. Tang "Deeply Learned Face Representations are Sparse, Selective, and Robust." arXiv 2014 |
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| 06/02/2015 | Hossein Azizpour | Andrej Karpathy, Li Fei-Fei "Deep Visual-Semantic Alignments for Generating Image Descriptions" arXiv 2014 | Project Page |
| 10/10/2014 | Tim Cootes, Manchester University (Invited Talk) | Extracting the shape of structures in medical images | |
| 10/10/2014 | Adrian Hilton, University of Surrey (Invited Talk) | 4D Vision: Performance Capture for Human Movement Analysis & Animation | |
| 12/06/2014 | Josef Sivic, INRIA/ENS Paris (Invited Talk) | Learning mid-level image representations for visual recognition | |
| 12/06/2014 | Cristian Sminchisescu, Lund University (Invited Talk) | Iterated Second-order Label Sensitive Pooling for 3D Human Pose Estimation | |
| 27/05/2014 | Vahid Kazemi | Adam Coates, Honglak Lee, and Andrew Ng "An Analysis of Single-Layer Networks in Unsupervised Feature Learning" AI Statistics 2011 |
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| 23/05/2014 | Pawan Kumar, Ecole Centrale Paris, INRIA Saclay (Invited Talk for SAIS Workshop) | Multiplicative Bounds for Metric Labeling | |
| 22/05/2014 | Karteek Alahari, INRIA Grenoble Rhone-Alpes (Invited Talk) | Scene Understanding: What more can we do with videos, depth and text? | |
| 20/05/2014 | Hossein Azizpour | K. Chatfield, K. Simonyan, A. Vedaldi, A. Zisserman "Return of the Devil in the Details: Delving Deep into Convolutional Nets" arXiv 2014 |
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| 20/05/2014 | Bodo Rosenhahn, Leibniz Universität Hannover, Germany (Invited Talk) | Human Motions and Multi-People Tracking | |
| 06/05/2014 | Oscar Danielsson | Christian Szegedy et al. "Intriguing properties of neural networks" ICLR 2014 |
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| 30/04/2014 | Atsuto Maki | Shuiwang Ji, et al. "3D Convolutional Neural Networks for Human Action Recognition" PAMI 2013 Andrej Karpathy et al. "Large-scale Video Classification with Convolutional Neural Networks" CVPR 2014 |
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| 22/04/2014 | Josephine Sullivan
Hossein Azizpour |
Stochastic Gradient Methods with a focus on Hogwild R. Girshick et al. "Rich feature hierarchies for accurate object detection and semantic segmentation" updated arXiv report |
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| 15/04/2014 | Hossein Azizpour | Our future tracks for Deep Learning | |
| 01/04/2014 | Vahid Kazemi Oscar Danielsson Hossein Azizpour |
1) Y. Taigman, M. Yang, M. Ranzato, L. Wolf "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" CVPR 2014
2) A. Toshev, C. Szegedy "DeepPose: Human Pose Estimation via Deep Neural Networks" CVPR 2014 3) N. Zhang, M. Paluri, M. Ranzato, T. Darrell, L. Bourdev "PANDA: Pose Aligned Networks for Deep Attribute Modeling" CVPR 2014 |
1)Slides PPT
2)Slides PDF 2)Slides PDF |
| 25/03/2014 | Heydar Maboudi | Bengio et al. "Representation Learning: A Review and New Perspectives" PAMI 2013 | |
| 24/03/2014 | Iasonas Kokkinos, Ecole Centrale Paris (Invited Talk) | Fast and Exact Algorithms for Object Detection with Deformable Models. | |
| 18/03/2014 | Hossein Azizpour | Deep Representation as Baseline for All Recognition Tasks | Slides PDF |
| 21/1/2014 | Pascal Fua, EPFL (Invited Talk) | Indentity Preserving Multi-People Tracking through Linear Programming | |
| 13/12/2013 | Vahid Kazemi Hossein Azizpour |
1) M. Zeiler and R. Fergus, "Visualizing and Understanding Convolutional Networks", TR 2013
2) R. Girshick, J. Donahue, T. Darrell, and J. Malik "Rich feature hierarchies for accurate object detection and semantic segmentation", TR 2013 3) M. Oquab, L. Bottou, I. Laptev and J. Sivic "Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks", TR 2013 with a discussion about recent developments in deep learning for computer vision |
2-3)Slides PDF
2-3)Slides PPT |
| 11/11/2013 | Miroslav Kobetski | Addressing occlusion in wearable videos | |
| 25/10/2013 | Heydar Maboudi | M. Juneja, A. Vedaldi, C. Jawahar, A. Zisserman. "Blocks that Shout: Distinctive Parts for Scene Classification" CVPR 2013 | |
| 18/10/2013 | 1) Ali Sharif Razavian 2) Hossein Azizpour |
1) C. Vondrick, A. Khosla, T. Malisiewicz, A. Torralba. "HOGgles: Visualizing Object Detection Features", ICCV 2013 2) Xiaofeng Ren and Deva Ramanan "Histograms of Sparse Codes for Object Detection", CVPR 2013 |
2)Slides PDF |
| 04/10/2013 | Omid Aghazadeh | One class SVMs and an extension to it (ongoing research) | |
| 06/09/2013 | Cristian Sminchisescu, Lund University (Invited Talk) | Figure-Ground Segmentation and Pooling for Visual Scene Analysis | |
| 14/06/2013 | Magnus Burenius | Gu et al. "Linear time offline tracking and lower envelope algorithms", ICCV 2011 | |
| 31/05/2013 | Miroslav Kobetski | A. Prest, Ch. Leistner, J. Civera, C. Schmid and V. Ferrari, "Learning Object Class Detectors from Weakly Annotated Video", CVPR 2012 | |
| 24/05/2013 | Ali Sharif Razavian | R. Arandjelovic. A. Zisserman, "All About VLAD", CVPR 2013
with a summary of H. Jegou, M. Douze, C. Schmid, P. Pérez, "Aggregating local descriptors into a compact image representation", CVPR 2010 | |
| 17/05/2013 | Josephine Sullivan | Rodrigo Quian Quiroga, "Concept cells: the building blocks of declarative memory functions", Nature Neuroscience 2012
with an Introduction to Brain Cells and Their Functionalities | |
| 13/05/2013 | Trevor Darrell, UC Berkeley (Invited Talk) | Efficient large-scale visual category recognition | |
| 08/05/2013 | Hossein Azizpour | N. Razavi, J. Gall, P. Kohli, L. Van Gool "Latent Hough Transform for Object Detection", ECCV 2012
with a glance at: B. Leibe, A. Leonardis, B. Schiele. "Robust Object Detection with Interleaved Categorization and Segmentation", IJCV 2008 Gall J., Yao A., Razavi N., van Gool L., and Lempitsky V., "Hough Forests for Object Detection, Tracking, and Action Recognition" PAMI 2011 Barinova O, Lempitsky V, Kohli P. "On detection of multiple object instances using Hough transform", PAMI 2012 |
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| 24/04/2013 | Horesh Ben Shitrit, EPFL (Invited Talk) | Multi-Camera People Identification and Tracking. | |
| 22/03/2013 | Magnus Burénius | Vedaldi, Blaschko, Zisserman. "Learning Equivariant Structured Output SVM Regressors", ICCV 2011 | Slides PDF |
| 15/03/2013 | Miroslav Kobetski | L. Liu, L. Wang, "What Has My Classifier Learned? Visualizing the Classification Rules of Bag-of-Feature Model by Support Region Detection." CVPR 2012 D. Hoiem, Y. Chodpathumwan, and Q. Dai, "Diagnosing Error in Object Detectors", ECCV 2012 Discussion on the relevance of the current performance evaluation criteria |
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| 8/03/2013 | Vahid Kazemi | S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, P. Kohli, "Decision Tree Fields", ICCV 2011 | Slides PDF |
| 1/03/2013 | Omid Aghazadeh | McFee and Lanckriet, "Metric Learning to Rank" ICML 2010 Plus an introduction on metric learning |
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| 22/02/2013 | Ali Sharifrazavian | General discussion on deep learning and the impact of "Drop Out" technique suggested reading: Hinton et al. Improving neural networks by preventing co-adaptation of feature detectors |
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| 19/02/2013 | Heydar Maboudi | W. Yang, Y. Wang, A. Vahdat, and G. Mori. "Kernel Latent SVM for Visual Recognition", NIPS 2012 Discussion on representation with simple classifiers vs. non-linear classifiers working on simple features |
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| 08/02/2013 | Hossein Azizpour | 1) L. Ladicky, P. H. S. Torr, A. Zisserman. "Latent SVMs for Human Detection with a Locally Affine Deformation Field" BMVC 2012
2) A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman. "Multiple Kernels for Object Detection." ICCV 2009 3) X. Zhu, C. Vondrick, D. Ramanan, C. Fowlkes, "Do We Need More Training Data or Better Models for Object Detection?" BMVC 2012 Discussion on nonlinear classification vs model design and big data vs model design |
1)Slides PPT
2)Slides PDF 3)Slides PDF |
| 01/02/2013 | Magnus Burénius | Introduction to Structure SVM and Rank SVM with a look at M. Blaschko, and C. H. Lampert. "Learning to Localize Objects with Structured Output Regression, ECCV 2008 |
Slides PDF |
| 07/12/2012 | Ali Sharif Razavian | A. Krizhevsky, I. Sutskever, G. E. Hinton. "ImageNet Classification with Deep Convolutional Neural Networks", NIPS 2012 | |
| 29/09/2012 | Magnus Burénius | B. Pepik, P. Gehler, M. Stark and B. Schiele. "3D^2PM - 3D Deformable Part Models", ECCV 2012 B. Pepik, M. Stark, P. Gehler and B. Schiele. "Teaching 3D Geometry to Deformable Part Models" CVPR 2012 |
Slides PDF |
| 22/09/2012 | Josephine Sullivan | Devi Parikh, Kirsten Grauman. "Relative Attributes", ICCV 2011 and some insights on Rank SVMs |
Slides PPT |
| 04/09/2012 | Amin Sadeghi, UIUC (Invited Talk) | Amin Sadeghi, Ali Farhadi. "Recognition Using Visual Phrases", CVPR 2011 and recent related works... | |
| 29/08/2012 | Vahid Kazemi | Vahid Kazemi, Josephine Sullivan. "Using Richer Models for Articulated Pose Estimation of Footballers", BMVC 2012 | |
| 24/08/2012 | Miroslav Kobetski | Andrea Vedaldi, Andrew Zisserman. "Sparse Kernel Approximations for Efficient Classification and Detection", CVPR 2012 | |
| 17/08/2012 | Vahid Kazemi | Ross Girshick, et al. "Efficient Regression of General-Activity Human Poses from Depth Images", ICCV 2011 Jamie Shotton, et al. "Real-Time Human Pose Recognition in Parts from a Single Depth Image", CVPR 2011 |
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| 10/08/2012 | Hossein Azizpour | B. Hariharan, J. Malik, and D. Ramanan. Discriminative Decorrelation for Clustering and Classification. ECCV 2012 | Slides PPT
Slides PDF |
| 29/06/2012 | Josephine Sullivan | Quoc Le, et al. Building high-level features using large scale unsupervised learning. ICML 2012 Overview of Deep Learning |
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| 15/06/2012 | Miroslav Kobetski | A. Bergamo L. Torresani, Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach. NIPS 2012 | |
| 08/06/2012 | Heydar Maboudi | Joint Feature Clustering and Classification | |
| 25/05/2012 | Magnus Burénius | B. Sapp, D. Weiss, B. Taskar "Parsing human motion with stretchable models" CVPR 2011 | Slides PDF |
| 04/05/2012 | Omid Aghazadeh | H. Pirsiavash, D. Ramanan "Steerable Part Models" CVPR 2012 | |
| 26/04/2012 | Hossein Azizpour | H. Pirsiavash, D. Ramanan "Detecting Activities of Daily Living in First-person Camera Views" CVPR 2012 | Slides PPT
Slides PDF |
| 09/02/2012 | Bernt Schiele, MPI (Invited Talk) | "3D Scene Understanding - It's Time to Address it Again" | |
| 03/02/2012 | Josephine Sullivan | M. Belkin, P. Niyogi, V. Sindhwani. "Manifold Regularization: a Geometric Framework for Learning from Labeled and Unlabeled Examples" JMLR 2006 Chapter 5 of "Introduction to Semi-Supervised Learning" |
Text Book |
| 27/01/2012 | Heydar Maboudi | Nobuyuki Morioka, "Building Compact Local Pairwise Codebook with joint feature space clustering" ECCV 2010 | |
| 20/01/2012 | Miroslav Kobetski | M. Enzweiler and D. M. Gavrila. "A Mixed Generative-Discriminative Framework for Pedestrian Classification." CVPR 2008 | |
| 21/12/2011 | Ivan Laptev, INRIA/WILLOW (Invited Talk) | "Human action recognition: The challenges and recent progress" | |
| 15/12/2011 | Omid Aghazadeh | Liu, Yuen and Torralba, SIFT Flow: Dense Correspondence across Scenes and its Applications, 2011, PAMI Duchenne, Joulin and Ponce, A Graph-Matching Kernel for Object Categorization, 2011, ICCV Tighe and Lazebnik, SuperParsing: Scalable Nonparametric Image Parsing with Superpixels, 2010, ECCV Liu, Yuen and Torralba, Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment, 2009, CVPR Li, Socher and Fei-Fei, Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework, 2009, CVPR |
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| 09/12/2011 | Hossein Azizpour | T. Malisiewicz, A. Gupta, and A. A. Efros "Ensemble of Exemplar-SVMs for Object Detection and Beyond" ICCV 2011 | Slides Code Homepage |
| 02/12/2011 | Magnus Burenius | R. Farrell, O. Oza, N. Zhang, V. I. Morariu, T. Darrell, L. S. Davis. "Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance." ICCV 2011 | Slides |
| 21/10/2011 | Josephine Sullivan | V. A. Prisacariu, I. Reid "Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking" CVPR 2011 | Slides |
| 14/10/2011 | Omid Aghazadeh | Brown, Hua and Winder, Discriminative Learning of Local Image Descriptors, 2011, PAMI Rublee, Rabaud, Konolige and Bradski, ORB: an efficient alternative to SIFT or SURF, 2011, ICCV Leutenegger,Chli and Siegwart, BRISK: Binary Robust Invariant Scalable Keypoints, 2011, ICCV Tuytelaars, Dense Interest Points, 2010, CVPR Calonder, Lepetit, Strecha and Fua, BRIEF: Binary Robust Independent Elementary Features, 2010, ECCV Mikolajczyk and Schmid, A Performance Evaluation of Local Descriptors, 2005, PAMI |
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| 07/10/2011 | Omid Aghazadeh |
Mikolajczyk and Schmid, Scale & Affine Invariant Interest Point Detectors, 2004, IJCV Mikolajczyk and Schmid, A Performance Evaluation of Local Descriptors, 2005, PAMI Mikolajczyk, Tuytelaars, Schmid, Zisserman, Matas, Schaffalitzky, Kadir and Van Gool, A Comparison of Affine Region Detectors, 2006, IJCV Winder and Brown, Learning Local Image Descriptors, 2007, CVPR |
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| 30/09/2011 | Miroslav Kobetski | M. Pedersoli, A. Vedaldi, J. Gonzalez "A coarse-to-fine approach for fast deformable object detection" CVPR 2011 | |
| 23/09/2011 | Hossein Azizpour | Branson S., Perona P., Belongie S., "Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models", ICCV 2011 | Slides PPT
Slides PDF |
| 09/09/2011 | Heydar Maboudi | Parag, T.; Elgammal, A.; "Supervised Hypergraph Labeling" CVPR 2011 | |
| 02/09/2011 | Oscar Danielsson | J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake "Real-Time Human Pose Recognition in Parts from a Single Depth Image" CVPR 2011 | Slides |
| 05/08/2011 | Vahid Kazemi | V. Kazemi and J. Sullivan "Face Alignment with Part Based Modeling" BMVC 2011 | Final Paper Slides |
| 22/07/2011 | Hossein Azizpour | Deformable Parts Model and recent works around it P. Ott and M. Everingham. "Shared parts for deformable part-based models". CVPR 2011 |
Slides |
| 05/07/2011 | Vahid Kazemi | Y. Yang, D. Ramanan. "Articulated Pose Estimation using Flexible Mixtures of Parts" CVPR 2011 | Report |
----- If you have questions, please contact azizpour${at}kth.se