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August 1, 2005 / Last updated : March 21, 2023 irfan SIGGRAPH

Paper in ACM SIGGRAPH 2005 on “Texture Optimization for Example-based Synthesis”

Citation

July 19, 2005 / Last updated : March 25, 2023 irfan Computational Photography and Video

Thesis: Vivek Kwatra's PhD Thesis (2005) "Example-based Rendering of Textural Phenomena"

Vivek Kwatra (2005), “Example-based Rendering of Textural Phenomena”PhD Thesis, Georgia Institute of Technology, College of Computing (Advisors: Aaron Bobick, Irfan Essa) [URI], 19-Jul-2005 Abstract This thesis explores synthesis by example as a paradigm for rendering real-world phenomena. In particular, phenomena that can be visually described as texture are considered. We exploit, for synthesis, the self-repeating […]

June 22, 2005 / Last updated : June 22, 2005 irfan Computational Photography and Video

Paper: IEEE CGI (2005) "Video-based nonphotorealistic and expressive illustration of motion"

Video-based nonphotorealistic and expressive illustration of motion (IEEEXplore) Kim, B. Essa, I. GVU Center & Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA This paper appears in: Computer Graphics International 2005 Publication Date: 22-24 June 2005 On page(s): 32 – 35 Number of Pages: xi 286 ISSN: 1530-1052 ISBN: 0-7803-9330-9 INSPEC Accession Number:8632735 […]

June 20, 2005 / Last updated : February 21, 2021 irfan CVPR

Paper: IEEE CVPR (2005) "Tracking multiple objects through occlusions"

Huang, Y and Essa, I. (2005) “Tracking multiple objects through occlusions”,  In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005 (CVPR 2005), Volume: 2 page(s): 1051 – 1058 vol. 2, ISSN: 1063-6919, ISBN: 0-7695-2372-2, INSPEC Accession Number:8633324 DOI: 10.1109/CVPR.2005.350, [IEEEXplore#] 20-25 June 2005 ABSTRACT We present an approach for tracking […]

April 28, 2005 / Last updated : March 21, 2023 irfan Teaching

Showcase: DVFX 2005 Video Productions

The Digital Video Special Effects class of Spring 2004 (CS 4480) presented their final productions on April 28, 2005, in CoCB 16 at 2:00p. Students showed and discussed the short video segments (less than 1 minute each) that they have produced to showcase the technical special effects they have generated during the semester.

December 9, 2004 / Last updated : January 5, 2020 irfan Computational Photography and Video

Thesis: Drew Steedly PhD (2004): "Rigid Partitioning Techniques for Efficiently Generating 3D Reconstructions from Images"

Drew Steedly (2004)“Rigid Partitioning Techniques for Efficiently Generating 3D Reconstructions from Images”PhD Thesis, Georgia Institute of Technology, College of Computing. (Advisor: Irfan Essa) [PDF] [URI] Abstract This thesis explores efficient techniques for generating 3D reconstructions from imagery. Non-linear optimization is one of the core techniques used when computing a reconstruction and is a computational bottleneck […]

October 30, 2004 / Last updated : February 21, 2021 irfan Presentations

Talk at USC's IRIS (2004): "Temporal Reasoning from Video to Temporal Synthesis of Video"

Irfan Essa (2004), “Temporal Reasoning from Video to Temporal Synthesis of Video” Talk at USC’s IRIS-Vision Seminars (Fall 2004). Temporal Reasoning from Video to Temporal Synthesis of Video Abstract In this talk, I will present some ongoing work on extracting spatio-temporal cues from video for both synthesis of novel video sequences, and recognition of complex […]

September 30, 2004 / Last updated : January 5, 2020 irfan Service

Appointed IEEE PAMI Associate Editor (2004)

Introduction of New Associate Editors for PAMI (September 2004) (PDF)

September 30, 2004 / Last updated : February 21, 2021 irfan Publications

ESORICS Paper (2004): "Parameterized Authentication"

Computer Security – ESORICS 2004

June 7, 2004 / Last updated : January 5, 2020 irfan Non-Photorealism

Paper: ACM NPAR (2003) “Image and video based painterly animation”

Citation [bibtex key= 2004-Hays-IVBPA] Abstract We present techniques for transforming images and videos into painterly animations depicting different artistic styles. Our techniques rely on image and video analysis to compute appearance and motion properties. We also determine and apply motion information from different (user-specified) sources to static and moving images. These properties that encode spatio-temporal […]

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