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This (incomplete, outdated, almost ordered) list contains the stuff I am reading these days as a part of various activities (IU Computer Vision Lab reading group, computer vision course,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]