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Grauman published presentations and documents on DocSlides.

Image Stitching
Image Stitching
by luanne-stotts
Tamara Berg. CSE 590 Computational Photography. M...
TP11
TP11
by test
- Fitting:. Deformable contours. Computer Vision,...
TP11 - Fitting:
TP11 - Fitting:
by alida-meadow
Deformable contours. Computer Vision, FCUP, . 201...
Fitting: Deformable contours
Fitting: Deformable contours
by alexa-scheidler
Monday, Feb . 21. Prof. Kristen . Grauman. UT-Aus...
Image gradients and edges
Image gradients and edges
by stefany-barnette
April 11. th. , 2017. Yong Jae Lee. UC Davis. Ann...
Linear Filters April 6 th
Linear Filters April 6 th
by alida-meadow
, 2017. Yong Jae Lee. UC Davis. Announcements. PS...
Interest Points Computer Vision
Interest Points Computer Vision
by fluental
Jia-Bin Huang, Virginia Tech. Many slides from N S...
Linear Filters Devi Parikh
Linear Filters Devi Parikh
by blastoracle
1. Slide credit: Devi Parikh. Disclaimer: Many sli...
Local features: detection and description
Local features: detection and description
by eatfuzzy
Devi Parikh. Slide credit: Kristen . Grauman. 1. D...
TP12 - Local features: detection and description
TP12 - Local features: detection and description
by reagan
Computer Vision, FCUP, . 2018/19. Miguel Coimbra. ...
FineGrained Visual Comparisons with Local Learning Aron Yu and Kristen Grauman U
FineGrained Visual Comparisons with Local Learning Aron Yu and Kristen Grauman U
by danika-pritchard
yuutexasedu graumancsutexasedu Abstract Given two ...
The Pyramid Match Kernel Discriminative Classication with Sets of Image Features Kristen Grauman and Trevor Darrell Massachusetts Institute of Technology Computer Science and Articial Intelligence La
The Pyramid Match Kernel Discriminative Classication with Sets of Image Features Kristen Grauman and Trevor Darrell Massachusetts Institute of Technology Computer Science and Articial Intelligence La
by tatyana-admore
Kernelbased classi64257ca tion methods can learn ...
ResearchAssistant,MicrosoftResearchAsiaJan.2008{Jul.2008?Conductedasur
ResearchAssistant,MicrosoftResearchAsiaJan.2008{Jul.2008?Conductedasur
by natalia-silvester
Peer-ReviewedWorkshopPublication[W1]B.Gong,F.Sha,a...
Face Detection
Face Detection
by tatyana-admore
CSE 576. Face detection. State-of-the-art face de...
Fitting
Fitting
by cheryl-pisano
: . Voting and the Hough Transform. Monday, Feb ....
Linear filtering
Linear filtering
by marina-yarberry
Motivation: Image . denoising. How can we reduce ...
Overcoming Dataset Bias:
Overcoming Dataset Bias:
by natalia-silvester
An Unsupervised Domain Adaptation Approach. Boqin...
Fitting
Fitting
by lois-ondreau
: . Voting and the Hough Transform. Tues Feb 14. ...
Local features: detection and description
Local features: detection and description
by faustina-dinatale
Monday March . 7. Prof. Kristen . Grauman. UT-Aus...
Hough Transform COMS 4733
Hough Transform COMS 4733
by tawny-fly
Computational Aspect of Robotics. Many slides . f...
Context Neelima Chavali
Context Neelima Chavali
by trish-goza
ECE6504 02/21/2013. Roadmap. Roadmap. Introductio...
Fitting : Voting and the Hough Transform
Fitting : Voting and the Hough Transform
by ellena-manuel
April 24. th. , 2018. Yong Jae Lee. UC Davis. Ann...
Lecture 11 Homogeneous coordinates. Stereo.
Lecture 11 Homogeneous coordinates. Stereo.
by sherrill-nordquist
6.819 / 6.869: Advances in Computer Vision. Anton...
Face Detection CSE 576 Face detection
Face Detection CSE 576 Face detection
by molly
State-of-the-art face detection demo. (Courtesy . ...
Local features and image matching
Local features and image matching
by grace3
Devi Parikh. Disclaimer: Many slides have been bor...
CS 1674: Intro to Computer Vision
CS 1674: Intro to Computer Vision
by queenie
Fitting Models: . Hough Transform . & RANSAC. ...