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-  * [[people:canfield | John Canfield]]+  * [[people:canfield | John-Elmer Canfield]]
//**Recent Alumni**// //**Recent Alumni**//
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-Founded in 1994, the Perceptual Science Group of the Department of Brain and Cognitive Sciences at MIT does research in human visual perception, machine vision, image processing, and human-computer interaction. Both the Adelson Lab and the Rosenholtz Lab are located in Building 32.+The Perceptual Science Group of the Department of Brain and Cognitive Sciences at MIT does research in human vision, machine vision, human-computer interaction, and touch sensing for robotics. Both the Adelson Lab and the Rosenholtz Lab are part of the Computer Science and Artificial Intelligence Lab (CSAIL), located in the Stata Center.\\
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-//**News**// 
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-**Modelling visual crowding**: Shaiyan and Ruth's work testing a unified account of visual crowding has been accepted to the [[http://jov.arvojournals.org/article.aspx?articleid=2498972|Journal of Vision]]. 
-**Dr. Shaiyan Keshvari graduates!** Shaiyan defended his thesis, //At the Interface of Materials and Objects in Peripheral Vision//, on July 29th, 2016.+//**News... **// 
 +\\ 
 +**Peripheral vision, inference, and visual awareness**: An extended abstract is now available based on Ruth Rosenholtz' invited talk at the VSS 2017 Symposium, "The Role of Ensemble Statistics in the Visual Periphery." [[https://arxiv.org/abs/1706.02764|What modern vision science reveals about the awareness puzzle: Summary-statistic encoding plus decision limits underlie the richness of visual perception and its quirky failures]]
-**Dr. Phillip Isola graduates!** Phil defended thesis, // The Discovery of Perceptual Structure from Visual Co-occurrences in Space and Time//, on August 17th, 2015. He has just started as a postdoc with Alexei (Alyosha) Efros at UC Berkeley. Check out a photo of Dr. Isola's [[:gallery:defenseparties|photo]] celebratory reception, complete with detective costume.+**Attention and limited capacity**: Ruth Rosenholtz has a new paper on what we have learned about attention by studying peripheral vision. This leads us to a new conceptualization of limited capacity in vision and the mechanisms for dealing with it. "[[publications:attentionhvei2017|Capacity limits and how the visual system copes with them]]."
-**Dr. Rui Li graduates!** Rui defended thesis, // Touching is Believing: Sensing and Analyzing Touch Information with GelSight//, on April 30th, 2015. He is now working on a startup called  [[http://virtulus.com/|Virtulus]] in Cambridge. Here is a [[:gallery:defenseparties|photo]] from the post-defense reception.+**Modelling visual crowding**: Shaiyan and Ruth's work testing a unified account of visual crowding has been accepted to the [[http://jov.arvojournals.org/article.aspx?articleid=2498972|Journal of Vision]].
**Paper accepted to IROS 2014**: Rui and Wenzhen's work on adapting the [[http://www.gelsight.com|Gelsight]] sensor for robotic touch has been accepted to IROS 2014. This work was done in collaboration with the [[http://www.ccs.neu.edu/home/rplatt/|Platt]] group at NEU, and it was covered by [[http://newsoffice.mit.edu/2014/fingertip-sensor-gives-robot-dexterity-0919|MIT News]]. **Paper accepted to IROS 2014**: Rui and Wenzhen's work on adapting the [[http://www.gelsight.com|Gelsight]] sensor for robotic touch has been accepted to IROS 2014. This work was done in collaboration with the [[http://www.ccs.neu.edu/home/rplatt/|Platt]] group at NEU, and it was covered by [[http://newsoffice.mit.edu/2014/fingertip-sensor-gives-robot-dexterity-0919|MIT News]].
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-**Rapid material perception**: Lavanya's work on the [[http://people.csail.mit.edu/lavanya/rapidcat.html|rapid perception of material properties]] has been accepted to the [[http://www.journalofvision.org/content/14/9/12.full|Journal of Vision]]. 
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-**Paper accepted to ECCV 2014**: Phillip's work on [[http://web.mit.edu/phillipi/Public/crisp_boundaries/index.html|crisp boundary detection]] has been accepted for an oral presentation. 
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-**Dr. Derya Akkaynak graduates!**  She successfully defended her thesis, //A computational approach to the quantification of animal camouflage//, on May 23rd, 2014. Congratulations! She is continuing her research with a grant from the [[http://www.stri.si.edu/english/about_stri/index.php|Smithsonian Tropical Research Institution]] in Panama. Here is a [[:gallery:defenseparties|photo]] from the post-defense reception. 
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-**Lighting direction and translucency perception**: Bei's work on understanding the role of the lighting direction in translucency perception has been accepted to the [[http://www.journalofvision.org/content/14/3/17.full|Journal of Vision]]. 
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-**Color calibration for scientific data acquisition**: Derya & Bei's article on calibrating off-the-shelf digital cameras for accurate color capture has been accepted to [[http://www.opticsinfobase.org/josaa/fulltext.cfm?uri=josaa-31-2-312&id=277090|JOSA A]]. 
**Taking a new look at subway map design**: The Rosenholtz lab's Texture Tiling Model was used to evaluate subway maps for the MBTA Map Redesign Contest. Check out the [[http://www.fastcodesign.com/3020708/evidence/the-science-of-a-great-subway-map|FastCompany Design article]], [[http://blog.visual.ly/how-do-our-brains-process-infographics-mit-mongrel-shows-peripheral-vision-at-work/|Visual.ly article]], and the [[http://www.csail.mit.edu/node/2094|CSAIL news article]]. The news was also picked up by a couple other media sources: [[http://blogs.smithsonianmag.com/smartnews/2013/11/how-much-of-a-subway-map-can-one-persons-brain-process/|Smithsonian Magazine]] and [[http://dish.andrewsullivan.com/2013/11/07/building-a-better-subway-map/|The Dish]]. Here's an older article about our research from  [[http://www.sciencedaily.com/releases/2011/02/110202215339.htm|Science Daily]]. **Taking a new look at subway map design**: The Rosenholtz lab's Texture Tiling Model was used to evaluate subway maps for the MBTA Map Redesign Contest. Check out the [[http://www.fastcodesign.com/3020708/evidence/the-science-of-a-great-subway-map|FastCompany Design article]], [[http://blog.visual.ly/how-do-our-brains-process-infographics-mit-mongrel-shows-peripheral-vision-at-work/|Visual.ly article]], and the [[http://www.csail.mit.edu/node/2094|CSAIL news article]]. The news was also picked up by a couple other media sources: [[http://blogs.smithsonianmag.com/smartnews/2013/11/how-much-of-a-subway-map-can-one-persons-brain-process/|Smithsonian Magazine]] and [[http://dish.andrewsullivan.com/2013/11/07/building-a-better-subway-map/|The Dish]]. Here's an older article about our research from  [[http://www.sciencedaily.com/releases/2011/02/110202215339.htm|Science Daily]].
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- +<WRAP box left 50%>**[[https://sites.google.com/view/rss17ts/overview|Tactile sensing for manipulation]]**\\ 
- +If robots are to perform everyday tasks in the real world, they will need sophisticated tactile sensing. The tactile data must be integrated into multi-sensory representations that support exploration, manipulation, and other tasks.\\
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</WRAP> </WRAP>
 +[[https://sites.google.com/view/rss17ts/overview|{{:rss17-1.png?250}}]]
 +//      (workshop held July 15, 2017)//\\
 +</WRAP>
 +----
 +<WRAP box>
 +<WRAP box right 50%>**[[http://news.mit.edu/2017/gelsight-robots-sense-touch-0605|Giving robots a sense of touch]]**\\
 +GelSight technology lets robots gauge objects’ hardness and manipulate small tools.\\
 +</WRAP>
 +{{youtube>small:BIW_jq3dOEE}}
 +</WRAP>
 +----
 +<WRAP box>
 +<WRAP box left 50%>**[[http://news.mit.edu/2014/fingertip-sensor-gives-robot-dexterity-0919|Fingertip sensor gives robot unprecedented dexterity]]**\\
 +Armed with the GelSight sensor, a robot can grasp a freely hanging USB cable and plug it into a USB port.\\
 +</WRAP>
 +{{youtube>small:w1EBdbe4Nes}}
 +</WRAP>
 +----
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 +<WRAP box right 50%>**[[http://news.mit.edu/2011/tactile-imaging-gelsight-0809|GelSight — Portable, super-high-resolution 3-D imaging]]**\\
 +A simple new imaging system could help manufacturers inspect their products, forensics experts identify weapons and doctors identify cancers.\\
 +</WRAP>
 +{{youtube>small:S7gXih4XS7A}}
 +</WRAP>
 +----
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 +<WRAP box left 50%>**[[http://news.mit.edu/2016/artificial-intelligence-produces-realistic-sounds-0613|Artificial intelligence produces realistic sounds that fool humans]]**\\
 +Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.\\
 +</WRAP>
 +{{youtube>small:0FW99AQmMc8}}
 +</WRAP>
 +----
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home.1483457501.txt.gz · Last modified: 2017/01/03 10:31 by rosenholtz