Lab Help

 


CSE 788 Winter 2011 Reading List

(Will be continuously updated throughout this quarter)


Scalar Data Visualization


Isosurfaces


  1. -    Bill Lorensen and H. Cline, Marching Cubes, a High Resolution 3D Surface Constructoin Algorithm. Proc. of SIGGRAPH’87, pp. 163-169, 1987.

  2. -      G. M. Nielson and B. Harmann, The asymptotic decider: resolving the ambiguity in marching cubes, Pros. of IEEE Visualization ’91

-P. Cignoni, P. Marino, C. Montani, E. Puppo, and R. Scopigno, Speeding Up Isosurface Extraction using Interval Trees, IEEE Transactions on Visualization and Computer Graphics, Vol. 3, No. 2,  pp. 158-170, 1997.

-Y. Livnat, H.-W. Shen, and C. R. Johnson, A near optimal isosurface extracton algorithm using the span space, IEEE Transactions on Visualization and Computer Graphics, Vol. 2, No. 1, 1996

-T. Itoh and K. Koyamada, Automatic Isosurface Propagation using an Extreme Graph and Sorted Cell Lists, IEEE Transactions on Visualization and Computer Graphics, Vol. 1, No. 4, pp. 319-327, 1995

-J. Wilhelms and A. Van Gelder, Octrees for faster isosurface generation, ACM Transactions on Graphics, Vol. 11, No. 3, pp. 201-227, 1992

-P. Sutton and C. Hansen, Isosurface extraction in time-varying fields using a temporal branch-on-need tree (T-BON), Proc. of IEEE Visualization ’99, pp. 147-153, 1999.

-H.-W. Shen, Isosurface Extraction in Time-Varying Field Using a Temporal Hierarchical Index Tree,  Proc. of IEEE Visualization ’98, pp. 159-166, 1998


Isosurface topology and analysis


-S Takahashi, T. Ikeda, Y. shinagawa, T.L. Kunii, and M. Ueda, Algorithms for extracting correct critical points and constructing topological graphs from discrete geographical elevation data, Computer Graphics Forum, 14(3): 181-192, 1995

-M. van Kreveld, R. van Oostrum, C.L. Bajaj, D. R. Schikore, and V. Pascucci, Contour Trees and Small Seed Sets for Isosurface Traversal, Proc. of ACM Symposium on Computational Geoemtry, pp. 212-219, 1997

-Computing Contour Trees in All Dimensions, H. Carr, J. Snoeyink, U. Axen, SODA, pp. 918-916, 2000

-C. Bajaj, V. Pascucci, and D. R. Schikore, The Contour Spectrum, Proc. of IEEE Visualization ’97, pp. 167-175, 1997.

-Marc Khoury, Rephael Wenger: On the Fractal Dimension of Isosurfaces. IEEE Trans. Vis. Comput. Graph. 16(6): 1198-1205 (2010).

-Carlos Eduardo Scheidegger, John M. Schreiner, Brian Duffy, Hamish Carr, Cláudio T. Silva: Revisiting Histograms and Isosurface Statistics. IEEE Trans. Vis. Comput. Graph. 14(6): 1659-1666 (2008).

-Tiago Etiene and Carlos Scheidegger and L. Gustavo Nonato and Robert M. Kirby and Claudio T. Silva. "Verifiable Visualization for Isosurface Extraction". In EEE Transactions on Visualization and Computer Graphics, vol. 15,no. 6, pp. 1227--1234, 2009.

-Hamish Carr, Brian Duffy, Brian Denby: On Histograms and Isosurface Statistics. IEEE Trans. Vis. Comput. Graph. 12(5): 1259-1266 (2006).

-Hamish Carr, Jack Snoeyink, Michiel van de Panne: Simplifying Flexible Isosurfaces Using Local Geometric Measures. IEEE Visualization 2004: 497-504.


Differential geometry applications


-V. Interrante, Illustrating Surface Shape in Volume Data via Principal Direction Driven 3D Line Interval Convolution, Proc. of ACM SIGGRAPH ’97, pp. 109-116.

-G. Nielson and I.-H. Jung, Tools for Computing Tangent Curves for Linearly Varying Vector Fields Over Tetrahedral Domains, IEEE Transactions no Visualization and Computer Graphics, Vol. 5, No. 4, pp. 360-372, 1999.

-G. Kindlemann, R. Whitaker, T. Tasdizen, and T. Moller, Curvature Based Transfer Functions for Direct Volume Rendering, Proc. of IEEE Visualization 2003, pp. 67-75.

-Samuel Gerber, Peer-Timo Bremer, Valerio Pascucci, Ross Whitaker, "Visual Exploration of High Dimensional Scalar Functions," IEEE Transactions on Visualization and Computer Graphics, pp. 1271-1280, November/December, 2010 

-Thomas Schultz, Holger Theisel, Hans-Peter Seidel, "Topological Visualization of Brain Diffusion MRI Data," IEEE Transactions on Visualization and Computer Graphics, pp. 1496-1503, November/December, 2007 

-Weber, G.H.; Bremer, P.-T.; Pascucci, V.; , "Topological Landscapes: A Terrain Metaphor for Scientific Data," Visualization and Computer Graphics, IEEE Transactions on , vol.13, no.6, pp.1416-1423, Nov.-Dec. 2007

-Harvey, W. and Wang, Y. (2010), Topological Landscape Ensembles for Visualization of Scalar-Valued Functions. Computer Graphics Forum, 29: 993–1002. doi: 10.1111/j.1467-8659.2009.01706.x


Direct volume rendering


-Marc Levoy, Display of Surface from Volume Data, IEEE Computer Graphics and Applications, Vol. 8, No. 3, May, 1988, pp. 29-37

-Nelson Max, Optical Models for Direct Volume Rendering

-Arie Kaufman and Klaus Mueller, Overview of Volume Rendering, Chapter 7, The Visualization Handbook

-Marc Levoy, Efficient Ray Tracing of Volume Data, ACM Transactions on Computer Graphics, Vol. 9, No. 3, pp. 245-261

-Peter Shirley and A. Tuchman, A Polygonal Approximation to Direct Scalar Volume Rendering, Computer Graphics, Vol. 24, No. 5, pp. 63-70, 1990

-L. Westover, Footprint Evaluation for Volume Rendering, in Proc. of SIGGRAPH’90, pp. 367-376, 1990

-T. Totsuka and M. Levoy, Frequency Domain Volume Rendering, Proc. of SIGGRAPH ’93, pp. 271-278, 1993

-K. Engel, M. Kraus, and T. Ertl, High-quality Pre-integrated Volume Rendering using Hardware-accelerated Pixel Shading, Proc. of Graphics Hardware 2001, pp. 9-16, 2001

  1. -     Klaus Engel, Markus Hadwiger, Joe Kniss, Aaron Lefohn, Christof Rezk-Salama and Daniel Weiskopf, Real-Time Volume Graphics, In ACM Siggraph 2004, Course 28, 2004.

  2. -       A Model for Volume Lighting and Modeling, Joe Kniss, Simon Premoze, Charles Hansen, Peter Shirley, Allen McPherson, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 9, No. 2, April 2003.

  3. -



Transfer function design


-G. Kindlemann and J.W. Durkin, Semi-automatic Generation of Transfer Functions for Direct Volume Rendering, Proc. of IEEE Symposium on Volume Visualization, pp. 79-86, 1998

-J. Kniss, S. Premoze, M. Ikits, A. Lefohn, C. Hansen, E. Praun, Gaussian Transfer Function for Multi-Field Volume Visualization, Proc. of IEEE Visualization ’03

-J. Kinss, G. Kindlemann, C. Hansen, Multidimensional Transfer Function for Interactive Volume Rendering, IEEE Transactions on Visualization and Computer Graphics, Vol. 8, No. 3, pp. 270-285, 2002

-C. Lundstrom, P. Ljung, A. Ynnerman, Local Histograms for Design of Transfer Functions in Direct Volume Rendering, IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 6, pp. 1570-1579

-Kniss, J.M.; Van Uitert, R.; Stephens, A.; Li, G.-S.; Tasdizen, T.; Hansen, C., Statistically quantitative volume visualization, Visualization, 2005. VIS 05. IEEE , vol., no., pp. 287- 294, 23-28 Oct. 2005.



Vector Data Visualization and Analysis


Vector field topology and analysis


-J. Helman and L. Hesselink, Representation and Display of Vector Field Topology in Fluid Flow Data Sets , ACM Computer, Vol. 33, No. 8, pp. 27-36, 1989

-J. Helman and L. Heselink, Visualizing Vector Field Topology in Fluid Flows, IEEE CG&A, Vol. 11, No. 3, pp. 36-46, 1991

-J.J. van Wijk. Implicit stream surfaces. In Proceedings of IEEE Visualization ’93 Conference, pages 245–252, 1993.

-G. Scheuermann, H. Krüger, M. Menzel, and A. Rockwood. Visualizing non-linear vector field topology. IEEE Transactions on Visualization and Computer Graphics, 4(2):109-116, 1998.

-I. A. Sadarjoen and F. H. Post. Geometric methods for vortex extraction. In Joint Eurographics-IEEE TVCG Symposium on Visualization, pages 53 – 62, 1999.

-D. N. Kenwright, C. Henze, and C. Levit. Feature extraction of separation and attachment lines. IEEE Transactions on Visualization and Computer Graphics, 5(2):135-144, 1999.

-W. de Leeuw and R. van Liere. Visualization of global flow structures using multiple levels of topology. In Data Visualization 1999. Proc. VisSym 99, pages 45-52, 1999.

-W. de Leeuw and R. van Liere. Collapsing flow topology using area metrics. In Proc. IEEE Visualization ’99, pages 349-354, 1999

-X. Tricoche, C. Garth, G. Kindlmann, E. Deines, G. Scheuermann, M. Rütten, and C. Hansen. Visualization of intricate flow structures for vortex breakdown analysis. In Proceeding of IEEE Visualization ’04 Conference, pages 187–194, 2004.

-D. Darmofal and R. Haimes, An analysis of 3-D Particle Path Integration Algorithms, Journal of Computational Physics, Vol. 123, 1996.

-C. Teitzel, R. Grosso, and T. Ertl. Efficient and reliable integration methods for particle tracing in unsteady flows on discrete meshes. In W. Lefer and M. Grave, eds, Visualization in Scientific Computing 1997, Eurographics, Springer-Verlag,1997.

-Tino Weinkauf, Holger Theisel: Streak Lines as Tangent Curves of a Derived Vector Field. IEEE Trans. Vis. Comput. Graph. 16(6): 1225-1234 (2010).

-F. Sadlo and D. Weiskopf. Time-Dependent 2D Vector Field Topology:An Approach Inspired by Lagrangian Coherent Structures. Computer Graphics Forum, 29(1):88ñ100, 2010

-WIEBEL A., TRICOCHE X., SCHNEIDER D.,JAENICKE H., SCHEUERMANN G.: Generalized streak lines: Analysis and visualization of boundary induced vortices. IEEE Transactions on Visualization and Computer Graphics 13, 6 (2007), 1735–1742.

-Efficient Visualization of Lagrangian Coherent Structures by Filtered AMR Ridge Extraction , Filip Sadlo,Ronald Peikert,  IEEE Transactions on Visualization and Computer Graphics archive, Volume 13 Issue 6, November 2007

-K. Shi, H. Theisel, T. Weinkauf, H. Hauser, H.-C. Hege, and H.-P. Seidel, Path line oriented topology for periodic 2D time-dependent vector fields. In Proc. Symposium on Visualization (EuroVis ’06), pages 139-146, 2006.

-X. Tricoche, G. Scheuermann, and H. Hagen. A topology simplification method for 2D vector fields. In Proc. IEEE Visualization 2000, pages 359-366, 2000

-R. Westermann, C. Johnson, and T. Ertl. Topology preserving smoothing of vector fields. IEEE Transactions on Visualization and Computer Graphics, 7:222-229, 2001

-X. Tricoche, G. Scheuermann, and H. Hagen. Continuous topology simplification of planar vector fields. In Proc. Visualization 01, pp. 159 - 166, 2001.

-H. Theisel, T.Weinkauf, H.-C. Hege, and H.-P. Seidel. Saddle connectors - an approach to visualizing the topological skeleton of complex 3D vector fields. In Proc. IEEE Visualization 2003, pages 225-232, 2003.

-Extracting higher order critical points and topological simplification of 3D vector fields, Weinkauf, T.;   Theisel, H.;   Shi, K.;   Hege, H.-C.;   Seidel, H.-P.;   Visualization, 2005. VIS 05. IEEE On page(s): 559 – 566

-H. Theisel, T. Weinkauf, H.-C. Hege, and H.-P. Seidel. Stream line and path line oriented topology for 2d time-dependent vector fields. In IEEE Visualization, pages 321-328, 2004.

-T. Weinkauf, H. Theisel, H.-C. Hege, and H.-P. Seidel. Boundary switch connectors for topological visualization of complex 3d vector fields. In Data Visualization 2004. Proc. VisSym 04, 2004.

-K. Mahrous, J. Bennett, G. Scheuermann, B. Hamann, and K. Joy, Topological segmentation in three-dimensional vector fields. IEEE Transactions on Visualization and Computer Graphics, 10(2):198-205, 2004.

-F. Sadlo and D. Weiskopf. Time-Dependent 2D Vector Field Topology: An Approach Inspired by Lagrangian Coherent Structures. Computer Graphics Forum, 29(1):88-100, 2010.


Flow and tensor visualization techniques


-B. Cabral and C. Leedom, Imaging vector fields using line integral convolution, in Proceedings of SIGGRAPH 93, pages 263-270,  1993.

-D. Stalling and H.-C. Hege, Fast and resolution independent line integral convolution, in Proceedings of SIGGRAPH '95, pages. 249-256, 1995.

-H.-W. Shen and D. Kao, A new line integral convolution algorithm for visualizing time-varying flow fields, IEEE Transactions on Visualization and Computer Graphics 4(2), pages 98-108, 1998.

-B. Jobard, G. Erlebacher, and Y. Hussaini, Lagrangian-Eulerian advection for unsteady flow visualization, in Proceedings of Visualization '01, pages 53-60, IEEE Computer Society Press, 2001.

-J. van Wijk, Image based flow visualization, in Proceedings of ACM SIGGRAPH ‘02, pages 745-754, 2002.

-D. Stalling, M. Zöckler, and H.-C. Hege. Fast display of illuminated field lines. IEEE Transactions on Visualization and Computer Graphics, 3(2):118–128, 1996.

-J. vanWijk, Image based flow visualization on curved surfaces, in Proceedings of Visualization 2003, pages 123-131, IEEE Computer Society Press, 2003.

-G. Turk and D. Banks. Image-guided streamline placement. In Proceedings of ACM SIGGRAPH ’96, pages 453–460, 1996.

-B. Jobard and W. Lefer. Creating evenly-spaced streamlines of arbitrary density, In Visualization in Scientific Computing, pages 43–56, 1997.

-V. Verma, D. T. Kao, and A. Pang. A flow-guided streamline seeding strategy,In IEEE Visualization, pages 163–170, 2000.

-Xiangong Ye; Kao, D.; Pang, A., Strategy for seeding 3D streamlines, Visualization 2005. VIS 05. IEEE , vol., no., pp. 471- 478, 23-28 Oct. 2005.

-C. Garth, X. Tricoche, and G. Scheuermann. Tracking of vector field singularities in unstructured 3D time-dependent data sets. In Proceedings of IEEE Visualization 2004, pages 329–226, 2004.

-O. Mallo, R. Peikert, C. Sigg, and F. Saldo. Illuminated streamlines revisited. In Proceedings of IEEE Visualization 2005, pages 19–26, October 2005.

-Liya Li and Han-Wei Shen, Imaged Based Streamline Generation and Rendering, IEEE Transactions on Visualization and Computer Graphics, Vol 13, No. 3, pages 630-640, 2007.

-Li, L.; Hsien-Hsi Hsieh, Shen, H.-W., Illustrative Streamline Placement and Visualization, Proceedings, IEEE Pacific Visualization 2008

-A. Wiebel and G. Scheuermann, Eyelet particle tracing - steady visualization of unsteady flow, Visualization 2005.

-A. Wiebel, X. Tricoche, H. Janicke, and G. Scheuermann, Generalized streak lines: analysis and visualization of boundary induced vortices, Visualization 2007.

-T. McLouglin, R. S. Laramee, R. Peikert, F. H. Post, and M. Chen, Over Two Decades of Integration-Based Geometric Flow Visualization, Computer Graphics Forum, Vol. 29, No. 6, pp. 1807-1829, 2010

-Zhanping Liu, Robert Moorhead, Joe Groner, An Advanced Evenly-Spaced Streamline Placement Algorithm, IEEE Transactions on Visualization and Computer Graphics, pp. 965-972, September-October, 2006

-Chen, Yuan and Cohen, Jonathan and Krolik, Julian, Similarity-Guided Streamline Placement with Error Evaluation, IEEE Transactions on Visualization and Computer Graphics, Pages 1448-1455, volume 13, issue 6, November 2007

-Stephane Marchesin, Cheng-Kai Chen, Chris Ho, Kwan-Liu Ma, View-Dependent Streamlines for 3D Vector Fields, IEEE Transactions on Visualization and Computer Graphics, pp. 1578-1586, November/December, 2010

-Keqin Wu, Zhanping Liu, Song Zhang, Robert J. Moorhead II, Topology-Aware Evenly Spaced Streamline Placement, IEEE Transactions on Visualization and Computer Graphics, pp. 791-801, September/October, 2010

-Thierry Delmarcelle, Lambertus Hesselink, Visualizing Second-Order Tensor Fields with Hyperstreamlines, IEEE Computer Graphics and Applications, pp. 25-33, July/August, 1993

-Delmarcelle, Thierry and Hesselink, Lambertus, The topology of symmetric, second-order tensor fields, Proceedings of the conference on Visualization '94, Pages 140-147, VIS 1994

-Zhang, Eugene and Hays, James and Turk, Greg, Interactive Tensor Field Design and Visualization on Surfaces, IEEE Transactions on Visualization and Computer Graphics. Pages 94-107, volume 13, issue 1, January, 2007


Statistical methods in visualization


-Carlos Eduardo Scheidegger, John M. Schreiner, Brian Duffy, Hamish Carr, Cláudio T. Silva: Revisiting Histograms and Isosurface Statistics. IEEE Trans. Vis. Comput. Graph. 14(6): 1659-1666 (2008).

-Chaoli Wang, Kwan-Liu Ma: A Statistical Approach to Volume Data Quality Assessment. IEEE Trans. Vis. Comput. Graph. 14(3): 590-602 (2008).

-Luke J. Gosink, John C. Anderson, Wes Bethel, Kenneth I. Joy: Variable Interactions in Query-Driven Visualization. IEEE Trans. Vis. Comput. Graph. 13(6): 1400-1407 (2007).

-Shivaraj Tenginakai, Jinho Lee, Raghu Machiraju: Salient Iso-Surface Detection with Model-Independent Statistical Signatures. IEEE Visualization 2001.

-Hiroshi Akiba, Nathaniel Fout, Kwan-Liu Ma: Simultaneous Classification of Time-Varying Volume Data Based on the Time Histogram. EuroVis 2006: 171-178.

-Classification/feature tracking: utilize statistics for material classification (transfer function design) and tracking (feature tracking).

-Yunhai Wang, Wei Chen, Guihua Shan, Tingxin Dong, Xuebin Chi: Volume exploration using ellipsoidal Gaussian transfer functions. PacificVis 2010: 25-32.

-Jesus Caban, Penny Rheingans: Texture-based Transfer Functions for Direct Volume Rendering. IEEE Trans. Vis. Comput. Graph. 14(6): 1364-1371 (2008).

-Jesus Caban, Alark Joshi, Penny Rheingans: Texture-based feature tracking for effective time-varying data visualization. IEEE Trans. Vis. Comput. Graph. 13(6): 1472-1479 (2007).

-Heike Jänicke, Alexander Wiebel, Gerik Scheuermann, Wolfgang Kollmann: Multifield Visualization Using Local Statistical Complexity. IEEE Trans. Vis. Comput. Graph. 13(6): 1384-1391 (2007).

-Joe Michael Kniss, Robert L. Van Uitert Jr., Abraham Stephens, Guo-Shi Li, Tolga Tasdizen, Charles D. Hansen: Statistically Quantitative Volume Visualization. IEEE Visualization 2005: 37.

-Joe Kniss, Gordon L. Kindlmann, Charles D. Hansen: Multidimensional Transfer Functions for Interactive Volume Rendering. IEEE Trans. Vis. Comput. Graph. 8(3): 270-285 (2002).

-Lijie Xu, Teng-Yok Lee, Han-Wei Shen: An Information-Theoretic Framework for Flow Visualization. IEEE Trans. Vis. Comput. Graph. 16(6): 1216-1224 (2010).

-Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma: Importance-Driven Time-Varying Data Visualization. IEEE Trans. Vis. Comput. Graph. 14(6): 1547-1554 (2008).

-Chaoli Wang, Han-Wei Shen: LOD Map - A Visual Interface for Navigating Multiresolution Volume Visualization. IEEE Trans. Vis. Comput. Graph. 12(5): 1029-1036 (2006).

-Udeepta Bordoloi, Han-Wei Shen: View Selection for Volume Rendering. IEEE Visualization 2005: 62.

-Heike Janicke, Gerik Scheuermann, Visual Analysis of Flow Features Using Information Theory, IEEE Computer Graphics and Applications, pp. 40-49, January/February, 2010.

-Heike Janicke, Gerik Scheuermann, Measuring Complexity in Lagrangian and Eulerian Flow Descriptions, Computer Graphics Forum. Volume 29, Issue 6, pages 1783–1794, September 2010.

Reading Assignment


       Paper Summary Dues:


       1/14:   (1), (2)

       1/21:   (3), (4)

       2/1:     (5), (6)

       2/8:     (7). (8)

       2/15:   (9)

       2/17:   (10)  


Term paper:  due 3/2/2011


Write a paper to survey algorithms that are available for polyhedral cell sorting. In the paper, you should first define the problem, explain why it is an important problem, list the main challenges, and then present a set of selective/representative works that have been proposed in the past two decades. Instead of presenting the techniques in a chronic order, it would be better if you can classify the, into different categories if there share some common ideas. For each technique, you should describe the main idea with enough detail for people to understand its unique contribution, and discuss how it is related to the other existing work. Finally, you should give your own assessment as to which algorithm is the best to use and why.  The length of the paper is limited to four pages. 




  1. 1.Bill Lorensen and H. Cline, Marching Cubes, a High Resolution 3D Surface Constructoin Algorithm. Proc. of SIGGRAPH’87, pp. 163-169, 1987.  (PDF)

  2. 2.G. M. Nielson and B. Harmann, The asymptotic decider: resolving the ambiguity in marching cubes, Pros. of IEEE Visualization ’91 (PDF)


  1. 3.van Kreveld, R. van Oostrum, C.L. Bajaj, D. R. Schikore, and V. Pascucci, Contour Trees and Small Seed Sets for Isosurface Traversal, Proc. of ACM Symposium on Computational Geoemtry, pp. 212-219, 1997 (PDF)

  2. 4.H. Carr, J. Snoeyink, U. Axen, Computing Contour Trees in All Dimensions, SODA, pp. 918-916, 2000. (PDF)


  1. 5.C. Bajaj, V. Pascucci, and D. R. Schikore, The Contour Spectrum, Proc. of IEEE Visualization ’97, pp. 167-175, 1997. [pdf]

  2. 6.Hamish Carr, Brian Duffy, Brian Denby: On Histograms and Isosurface Statistics. IEEE Trans. Vis. Comput. Graph. 12(5): 1259-1266 (2006).  [pdf]


       Another paper (not your reading assignment): C. Scheidegger, J. Schrelner, B. Duffy, H. Carr, C. Silva, IEEE  Transactions on Visualization and Computer Graphics, vol. 14 no. 6, pp 1659-16666. [pdf]


7. Nelson Max, Optical Models for Direct Volume Rendering [pdf]

  1. 8.Marc Levoy, Display of Surface from Volume Data, IEEE Computer Graphics and Applications, Vol. 8, No. 3, May, 1988, pp. 29-37 [pdf]


  1. 9. A Model for Volume Lighting and Modeling, Joe Kniss, Simon Premoze, Charles Hansen, Peter Shirley,Allen McPherson, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 9, No. 2, April 2003.  [pdf]

  2. 10. Peter Shirley and A. Tuchman, A Polygonal Approximation to Direct Scalar Volume Rendering, Computer Graphics, Vol. 24, No. 5, pp. 63-70, 1990 [pdf]

 

What to write in your paper summary?


Writing the summary is like writing the introduction section for the paper, imaging you are the author.

You need to cover the following points:


  1. 1.The problem the paper tries to tackle

  2. 2.The context of the paper, i.e., why the problem is important

  3. 3.The related work and previous approaches

  4. 4.The technical approach taken by the authors and why it is better

  5. 5.The main results and the unique contribution of the paper

  6. 6.Your own assessment:  (a) do you think the paper is well organized and well written? do you think the approach is effective and novel? do you think the results are convincing?


Write half of a page for each paper.