Reading List
This (incomplete, outdated, almost ordered) list contains the stuff I am reading these days as a part of various activities (IU Computer Vision Lab reading group, computer vision course, masters thesis, internship, various projects, and self-interest).
| Ciregan, Dan, Ueli Meier, and Jürgen Schmidhuber. Multi-Column Deep Neural Networks for Image Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012. | [pdf] | |
| Ma, Minghuang, Haoqi Fan, and Kris M. Kitani. Going Deeper into First-Person Activity Recognition. arXiv preprint arXiv:1605.03688 (2016). | [pdf] | |
| 4/26/2016 | Yu, Rui, et al. Direct, Dense, and Deformable: Template-Based non-Rigid 3D Reconstruction from RGB Video. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 4/26/2016 | Bailer, Christian, Bertram Taetz, and Didier Stricker. Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 4/19/2016 | Redmon, Joseph, et al. You Only Look Once: Unified, Real-Time Object Detection. arXiv preprint arXiv:1506.02640 (2015). | [pdf] |
| 4/19/2016 | Song, Yale, et al. TVSum: Summarizing Web Videos using Titles. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| John, Vijay, et al. Pedestrian Detection in Thermal Images using Adaptive Fuzzy C-Means Clustering and Convolutional Neural Networks. IAPR Conference on Machine Vision Applications (IAPR MVA) 2015. | [pdf] | |
| Zhang, Li, Bo Wu, and Ram Nevatia. Pedestrian Detection in Infrared Images Based on Local Shape Features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2007. | [pdf] | |
| Nanda, Harsh, and Larry Davis. Probabilistic Template Based Pedestrian Detection in Infrared Videos. IEEE Intelligent Vehicle Symposium 2002. | [pdf] | |
| Bertozzi, Massimo, et al. Pedestrian Detection for Driver Assistance using Multiresolution Infrared Vision. IEEE Transactions on Vehicular Technology 2004. | [pdf] | |
| 4/12/2016 | Krause, Jonathan, et al. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. arXiv preprint arXiv:1511.06789 (2015). | [pdf] |
| 4/12/2016 | Weyand, Tobias, Ilya Kostrikov, and James Philbin. Planet-Photo Geolocation with Convolutional Neural Networks. arXiv preprint arXiv:1602.05314 (2016). | [pdf] |
| 4/5/2016 | Zhang, Richard, Phillip Isola, and Alexei A. Efros. Colorful Image Colorization. arXiv preprint arXiv:1603.08511 (2016). | [pdf] |
| 4/5/2016 | Huang, Gao, et al. Deep Networks with Stochastic Depth. arXiv preprint arXiv:1603.09382 (2016). | [pdf] |
| 3/29/2016 | Yonetani, Ryo, Kris M. Kitani, and Yoichi Sato. Ego-surfing First Person Videos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 3/29/2016 | Poleg, Yair, et al. Egosampling: Fast-Forward and Stereo for Egocentric Videos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 3/22/2016 | Dubey, Rachit, et al. What Makes an Object Memorable? IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 3/22/2016 | Meyers, Austin, et al. Im2Calories: Towards an Automated Mobile Vision Food Diary. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 3/8/2016 | Park, Hyun Soo, Yedong Niu, and Jianbo Shi. Future Localization from an Egocentric Depth Image. arXiv preprint arXiv:1509.02094 (2015). | [pdf] |
| 3/8/2016 | Walker, Jacob, Abhinav Gupta, and Martial Hebert. Dense Optical Flow Prediction from a Static Image. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 3/1/2016 | Ikehata, Satoshi, Hang Yang, and Yasutaka Furukawa. Structured Indoor Modeling. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 3/1/2016 | Xie, Saining, and Zhuowen Tu. Holistically-Nested Edge Detection. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 2/23/2016 | Kuo, Weicheng, Bharath Hariharan, and Jitendra Malik. Deepbox: Learning Objectness with Convolutional Networks. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 2/23/2016 | He, Shengfeng, and Rynson WH Lau. Oriented Object Proposals. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 2/16/2016 | Chandrasekaran, Arjun, et al. We are Humor Beings: Understanding and Predicting Visual Humor. arXiv preprint arXiv:1512.04407 (2015). | [pdf] |
| 2/16/2016 | Kottur, Satwik, et al. Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings using Abstract Scenes. arXiv preprint arXiv:1511.07067 (2015). | [pdf] |
| 2/9/2016 | Chen, Chenyi, et al. Deepdriving: Learning Affordance for Direct Perception in Autonomous Driving. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 2/9/2016 | Silver, David, et al. Mastering the game of Go with Deep Neural Networks and Tree Search. Nature 529.7587, 2016 | [pdf] |
| 2/2/2016 | Luo, Ye, Loong-Fah Cheong, and An Tran. Actionness-Assisted Recognition of Actions. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 2/2/2016 | Sun, Lin, et al. Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 1/12/2016 | Xiaolong Wang, and Abhinav Gupta. Unsupervised Learning of Visual Representations using Videos. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 1/12/2016 | Doersch, Carl, Abhinav Gupta, and Alexei A. Efros. Unsupervised Visual Representation Learning by Context Prediction. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| Wan, Li, et al. Regularization of Neural Networks using DropConnect. International Conference on Machine Learning (ICML) 2013. | [pdf] | |
| 11/19/2015 | Koppula, Hema S., and Ashutosh Saxena. Physically Grounded Spatio-Temporal Object Affordances. European Conference on Computer Vision (ECCV) 2014. | [pdf] |
| 11/19/2015 | M. Marszalek, I. Laptev, and C. Schmid. Actions in Context. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009. | [pdf] |
| 11/19/2015 | A. Gupta and L. Davis. Objects in Action: An Approach for Combining Action Understanding and Object Perception.IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2007. | [pdf] |
| 11/17/2015 | Jain, Mihir, Jan C. van Gemert, and Cees GM Snoek. What do 15,000 Object Categories tell us about Classifying and Localizing Actions? IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 11/17/2015 | Wang, Limin, Yu Qiao, and Xiaoou Tang. Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 11/17/2015 | Y. J. Lee and K. Grauman. Object-Graphs for Context-Aware Category Discovery. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010. | [pdf] |
| 11/17/2015 | D. Hoiem, A.A. Efros, and M. Hebert. Putting Objects in Perspective. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006. | [pdf] |
| D. Lin, S. Fidler, and R. Urtasun. Holistic Scene Understanding for 3D Object Detection with RGBD cameras. IEEE International Conference on Computer Vision (ICCV) 2013. | ||
| 11/12/2015 | A. Gupta, A. Efros, and M. Hebert. Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics. European Conference on Computer Vision (ECCV) 2010. | [pdf] |
| 11/10/2015 | Lyu, Qi, Zhiyong Wu, and Jun Zhu. Polyphonic Music Modelling with LSTM-RTRBM. ACM International Conference on Multimedia (ACMMM) 2015. | [pdf] |
| 11/10/2015 | Boulanger-Lewandowski, Nicolas, Yoshua Bengio, and Pascal Vincent. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. arXiv preprint arXiv:1206.6392 (2012). | [pdf] |
| 11/10/2015 | A. Saxena, M. Sun and A. Y. Ng. Make3D: Learning 3D Scene Structure from a Single Still Image. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2009. | [pdf] |
| 11/5/2015 | A. Fathi, J. Hodgins, J. Rehg. Social Interactions: A First-Person Perspective. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012. | [pdf] |
| Zhang, Ning, et al. Part-Based R-CNNs for Fine-Grained Category Detection. European Conference on Computer Vision (ECCV) 2014. | [pdf] | |
| 11/3/2015 | Girshick, Ross. Fast R-CNN. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 11/3/2015 | Nguyen, Anh, Jason Yosinski, and Jeff Clune. Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 11/3/2015 | Y. Yang et al. Robot Learning Manipulation Action Plans by “Watching” Unconstrained Videos from the World Wide Web. AAAI 2015. | [pdf] |
| 11/3/2015 | K. Lee et al. A Syntactic Approach to Robot Imitation Learning using Probabilistic Activity Grammars. RAS 2013. | [pdf] |
| 10/29/2015 | P. Das et al. A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. | [pdf] |
| M. S. Ryoo et al. Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me? HRI 2015. | ||
| 10/27/2015 | Karpathy, Andrej, and Li Fei-Fei. Deep Visual-Semantic Alignments for Generating Image Descriptions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 10/27/2015 | Gregor, Karol, et al. DRAW: A Recurrent Neural Network for Image Generation. arXiv preprint arXiv:1502.04623 (2015). | [pdf] |
| 10/27/2015 | M. S. Ryoo and L. Matthies. First-Person Activity Recognition: What Are They Doing to Me? IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. | [pdf] |
| 10/22/2015 | K. M. Kitani, T. Okabe, Y. Sato, and A. Sugimoto. Fast Unsupervised Ego-action Learning for First-Person Sports Videos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011. | [pdf] |
| 10/22/2015 | Y. J. Lee, J. Ghosh, and K. Grauman. Discovering Important People and Objects for Egocentric Video Summarization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012. | [pdf] |
| Fathi, Alireza, Xiaofeng Ren, and James M. Rehg. Learning to Recognize Objects in Egocentric Activities. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011. | [pdf] | |
| Branson, Steve, et al. Bird Species Categorization using Pose Normalized Deep Convolutional Nets. arXiv preprint arXiv:1406.2952 (2014). | [pdf] | |
| 10/20/2015 | Yang, Yezhou, et al. Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web. AAAI 2015. | [pdf] |
| 10/20/2015 | Aksoy, Eren Erdal, Minija Tamosiunaite, and Florentin Wörgötter. Model-Free Incremental Learning of the Semantics of Manipulation Actions. Robotics and Autonomous Systems 2015. | [pdf] |
| 10/20/2015 | H. Pirsiavash and D. Ramanan. Detecting Activities of Daily Living in First-Person Camera Views. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012. | [pdf] |
| 10/15/2015 | A. Fathi, A. Farhadi, and J. M. Rehg. Understanding Egocentric Activities. IEEE International Conference on Computer Vision (ICCV) 2011. | [pdf] |
| J. Donahue et al. Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | ||
| A. Graves, A. Mohamed, and G. Hinton. Speech Recognition with Deep Recurrent Neural Networks. ICASSP 2013. | ||
| Maji, Subhransu, et al. Fine-Grained Visual Classification of Aircraft. arXiv preprint arXiv:1306.5151 (2013). | [pdf] | |
| A. Karpathy et al. Large-scale Video Classification with Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014. | ||
| M. S. Ryoo and J. K. Aggarwal. Stochastic Representation and Recognition of High-level Group Activities. International Journal of Computer Vision (IJCV) 2011. | ||
| J. M. Siskind. Grounding the Lexical Semantics of Verbs in Visual Perception using Force Dynamics and Event Logic. JAIR 2001. | ||
| Heng Wang, Cordelia Schmid. Action Recognition with Improved Trajectories. IEEE International Conference on Computer Vision (ICCV) 2013. | ||
| 10/13/2015 | Flynn, John, et al. DeepStereo: Learning to Predict New Views from the World's Imagery. arXiv preprint arXiv:1506.06825 (2015). | [pdf] |
| 10/13/2015 | Liu, Ping, et al. Facial Expression Recognition via a Boosted Deep Belief Network. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014. | [pdf] |
| 10/13/2015 | M. S. Ryoo and J. K. Aggarwal. Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities. IEEE International Conference on Computer Vision (ICCV) 2009. | [pdf] |
| 10/8/2015 | Y. Ivanov, and A. Bobick. Recognition of Visual Activities and Interactions by Stochastic Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2000. | [pdf] |
| I. Laptev, M. Marszałek, C. Schmid, and B. Rozenfeld. Learning Realistic Human Actions from Movies. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008. | ||
| 10/6/2015 | Kar, Abhishek, et al. Category-Specific Object Reconstruction from a Single Image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 10/6/2015 | Heinly, Jared, et al. Reconstructing the World in Six Days. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 10/6/2015 | J. Ng et al., Beyond Short Snippets: Deep Networks for Video Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| P. Dollár, V. Rabaud, G. Cottrell, and S. Belongie. Behavior Recognition via Sparse Spatio-Temporal Features. VS-PETS 2005. | ||
| 10/4/2015 | Simonyan, Karen, and Andrew Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. International Conference on Learning Representations (ICLR) 2015. | [pdf] |
| 10/1/2015 | D. Tran et al. Learning Spatiotemporal Features with 3D Convolutional Networks. arXiv:1412.0767. | [pdf] |
| 9/29/2015 | Xie, Saining, et al. Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 9/29/2015 | Xiao, Tianjun, et al. The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 9/29/2015 | Niebles, Juan Carlos, Hongcheng Wang, and Li Fei-Fei. Unsupervised Learning of Human Action Categories using Spatial-Temporal Words. International Journal of Computer Vision (IJCV) 2008. | [pdf] |
| 9/29/2015 | M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions and Space-Time Shapes. IEEE International Conference on Computer Vision (ICCV) 2005. | [pdf] |
| 9/24/2015 | I. Laptev. On Space-Time Interest Points. International Journal of Computer Vision (IJCV) 2005. | [pdf] |
| A. Bobick and J. Davis. The Recognition of Human Movement Using Temporal Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2001. | ||
| N. Oliver, B. Rosario, and A. Pentland. A Bayesian Computer Vision System for Modeling Human Interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2000. | ||
| 9/22/2015 | J. Yamato, J. Ohya, and K. Ishii. Recognizing Human Action in Time-Sequential Images using Hidden Markov Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1992. | [pdf] |
| 9/22/2015 | Jiang, Ming, et al. SALICON: Saliency in Context. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 9/22/2015 | Li, Yin, Zhefan Ye, and James M. Rehg. Delving into Egocentric Actions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| J. Long, E. Shelhamer, T. Darrell. Fully Convolutional Networks for Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | ||
| 9/17/2015 | R. Girshick, J. Donahue, T. Darrell, J. Malik. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014. | [pdf] |
| C. Szegedy et al. Going Deeper with Convolutions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] | |
| 9/15/2015 | A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (NIPS) 2012. | [pdf] |
| 9/15/2015 | Dosovitskiy, Alexey, Jost Tobias Springenberg, and Thomas Brox. Learning to Generate Chairs with Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. | [pdf] |
| 9/15/2015 | Karpathy, Andrej, Justin Johnson, and Li Fei-Fei. Visualizing and Understanding Recurrent Networks. arXiv preprint arXiv:1506.02078 (2015). | [pdf] |
| 9/10/2015 | P. Felzenszwalb, D. McAllester and D. Ramanan. A Discriminatively Trained, Multiscale, Deformable Part Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008. | [pdf] |
| 9/8/2015 | Venugopalan, Subhashini, et al. Sequence to Sequence - Video to Text. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 9/8/2015 | Zhu, Yukun, et al. ALigning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. IEEE International Conference on Computer Vision (ICCV) 2015. | [pdf] |
| 9/8/2015 | P. Gehler and S. Nowozin. On Feature Combination for Multiclass Object Classification. IEEE International Conference on Computer Vision (ICCV) 2009. | [pdf] |
| 9/8/2015 | N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2005. | [pdf] |
| 9/3/2015 | Y. Jia, C. Huang, and T. Darrell. Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012. | [pdf] |
| 9/3/2015 | S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006. | [pdf] |
| 9/1/2015 | J. Sivic and A. Zisserman. Video Google: A Text Retrieval Approach to Object Matching in Videos. IEEE International Conference on Computer Vision (ICCV) 2003. | [pdf] |
| 9/1/2015 | Lowe, David G. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision (IJCV) 2004. | [pdf] |
| 4/27/2015 | Snavely, Noah, Steven M. Seitz, and Richard Szeliski. Modeling the World from Internet Photo Collections. International Journal of Computer Vision (IJCV) 2008. | [pdf] |
| 4/20/2015 | LeCun, Yann, et al. Gradient-Based Learning Applied to Document Recognition. Proceedings of the IEEE 86.11 (1998) | [pdf] |
| 4/20/2015 | Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (NIPS) 2012. | [pdf] |
| Deng, Jia, et al. ImageNet: A Large-Scale Hierarchical Image Database. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009. | [pdf] | |
| 4/20/2015 | Le Cun, B. Boser, et al. Handwritten Digit Recognition with a Back-Propagation Network. Advances in Neural Information Processing Systems (NIPS) 1990. | [pdf] |
| 4/13/2015 | Turk, Matthew, and Alex Pentland. Eigenfaces for Recognition. Journal of Cognitive Neuroscience 1991. | [pdf] |
| 4/13/2015 | Crandall, David, Pedro Felzenszwalb, and Daniel Huttenlocher. Object Recognition by Combining Appearance and Geometry. Toward Category-Level Object Recognition, 2007. | [pdf] |
| 4/6/2015 | Dalal, Navneet, and Bill Triggs. Histograms of Oriented Gradients for Human Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2005. | [pdf] |
| 3/30/2015 | Nister, David, and Henrik Stewenius. Scalable Recognition with a Vocabulary Tree. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006. | [pdf] |
| 3/23/2015 | Xiao, Jianxiong, et al. Sun Database: Exploring a Large Collection of Scene Categories. International Journal of Computer Vision (IJCV) 2014. | [pdf] |
| 3/9/2015 | Hoiem, Derek, Alexei A. Efros, and Martial Hebert. Putting Objects in Perspective. International Journal of Computer Vision (IJCV) 2008. | [pdf] |
| 3/2/2015 | Szeliski, Richard, and Heung-Yeung Shum. Creating Full View Panoramic Image Mosaics and Environment Maps. ACM Computer Graphics and Interactive Techniques (SIGGRAPH) 1997. | [pdf] |
| 2/23/2015 | Shi, Jianbo, and Jitendra Malik. Normalized Cuts and Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2000. | [pdf] |
| 2/16/2015 | Lowe, David G. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision (IJCV) 2004. | [pdf] |
| 2/16/2015 | Lowe, David G. Object Recognition from Local Scale-Invariant Features. IEEE International Conference on Computer Vision (ICCV) 1999. | [pdf] |
| 2/9/2015 | Canny, John. A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 6 (TPAMI) 1986. | [pdf] |
| 2/9/2015 | Debevec, Paul E., and Jitendra Malik. Recovering High Dynamic Range Radiance Maps from Photographs. ACM SIGGRAPH 2008 classes. ACM, 2008. | [pdf] |
| 2/6/2015 | Wells, William M. Efficient Synthesis of Gaussian Filters by Cascaded Uniform Filters. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 1986. | |
| 2/2/2015 | Wallace, Gregory K. The JPEG Still Picture Compression Standard. IEEE Transactions on Consumer Electronics 38.1 (1992) | [pdf] |
| 1/26/2015 | Qi Shan, Jiaya Jia, and Aseem Agarwala. High-quality Motion Deblurring from a Single Image. ACM Transactions on Graphics (TOG) 2008. | [pdf] |
| 12/4/2014 | Tian Zhang, Raghu Ramakrishnan, and Miron Livny. BIRCH: An Efficient Data Clustering Method for Very Large Databases. ACM SIGMOD Conference 1996. | [pdf] |
| 11/25/2014 | Norbert Zeh. I/O-Efficient Graph Algorithms. EEF Summer School on Massive Data Sets (2002). | [pdf] |