First time publish

.gitignore

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+_site
+./_site
+# Ignore compiled and generated files
+node_modules/
+dist/
+build/
+*.log
+npm-debug.log*
+
+# Ignore local development files
+.env
+.DS_Store
+
+# Ignore GitHub Pages generated site
+/_site/
+/.jekyll-cache/
+/.jekyll-metadata
+
+# Ignore Jekyll settings
+/_config.yml
+Gemfile
+Gemfile.lock
+.jekyll-cache/
+.jekyll-metadata
+
+# Ignore VS Code settings
+.vscode/
+
+# Ignore other development tools
+.sass-cache/
+.jekyll-plugins/
+.jekyll-versions/
+
+# Ignore test and documentation files
+/_tests/
+/docs/
+*.md

CNAME

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+tairanhe.com

js/hidebib.js

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+// from: http://www.robots.ox.ac.uk/~vedaldi/assets/hidebib.js
+function hideallbibs()
+{
+    var el = document.getElementsByTagName("div") ;
+    for (var i = 0 ; i < el.length ; ++i) {
+        if (el[i].className == "paper") {
+            var bib = el[i].getElementsByTagName("pre") ;
+            if (bib.length > 0) {
+                bib [0] .style.display = 'none' ;
+            }
+        }
+    }
+}
+
+function togglebib(paperid)
+{
+    var paper = document.getElementById(paperid) ;
+    var bib = paper.getElementsByTagName('pre') ;
+    if (bib.length > 0) {
+        if (bib [0] .style.display == 'none') {
+            bib [0] .style.display = 'block' ;
+        } else {
+            bib [0] .style.display = 'none' ;
+        }
+    }
+}
+
+function toggleblock(blockId)
+{
+   var block = document.getElementById(blockId);
+   if (block.style.display == 'none') {
+    block.style.display = 'block' ;
+   } else {
+    block.style.display = 'none' ;
+   }
+}
+
+function hideblock(blockId)
+{
+   var block = document.getElementById(blockId);
+   block.style.display = 'none' ;
+}

js/scramble.js

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+// scramble.js
+//
+// 2011, Jeff Donahue (http://jeffdonahue.com/).
+// license: you can use this if you want to i guess
+
+function scrambledString(tag, objName, initScrambledString, initScrambledStringIndices) {
+	this.tag = tag;
+	this.objName = objName;
+	this.string = initScrambledString;
+	this.indices = initScrambledStringIndices;
+	this.rescramble = rescramble;
+	this.initAnimatedBubbleSort = initAnimatedBubbleSort;
+	this.bubbleSortStep = bubbleSortStep;
+	this.bubbleSortBookmark = 0;
+
+	this.rescramble();
+	this.tag.innerHTML = this.string + ' <a href="#" onClick="' + this.objName + '.initAnimatedBubbleSort();return false;">unscramble</a>';
+}
+
+function rescramble() {
+	for (i = 0; i < this.indices.length; i++) {
+		indexToMove = Math.floor(Math.random() * (this.indices.length - i));
+		charIndexRemoved = this.indices.splice(indexToMove, 1);
+		this.indices = this.indices.concat(charIndexRemoved);
+		scrambledStringTemp = this.string.substring(0, indexToMove) +
+			this.string.substring(indexToMove + 1) +
+			this.string.substring(indexToMove, indexToMove + 1);
+		this.string = scrambledStringTemp;
+	}
+}
+
+function initAnimatedBubbleSort() {
+	this.interval = setInterval(this.objName + '.bubbleSortStep()', 12);
+}
+
+function bubbleSortStep() {		
+	if (this.bubbleSortBookmark >= this.indices.length - 1) {
+		this.bubbleSortBookmark = 0;
+	}
+	for (i = this.bubbleSortBookmark; i < this.indices.length - 1; i++) {
+		if (i == 0) {
+			this.changed = 0;
+		}
+		if (this.indices[i] > this.indices[i + 1]) {
+			this.changed = 1;
+			tempIndex = this.indices[i];
+			this.indices[i] = this.indices[i + 1];
+			this.indices[i + 1] = tempIndex;
+			tempArrange = this.string.substring(0, i) +
+				this.string.substring(i + 1, i + 2) + 
+				this.string.substring(i, i + 1) +
+				this.string.substring(i + 2);
+			this.string = tempArrange;
+			this.tag.innerHTML = this.string;
+			this.bubbleSortBookmark = i;
+			break;
+		}
+	}
+	this.bubbleSortBookmark = i;
+	if (!this.changed) {
+		clearInterval(this.interval);
+	}
+}

old_version/.gitignore

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+_site
+./_site
+# Ignore compiled and generated files
+node_modules/
+dist/
+build/
+*.log
+npm-debug.log*
+
+# Ignore local development files
+.env
+.DS_Store
+
+# Ignore GitHub Pages generated site
+/_site/
+/.jekyll-cache/
+/.jekyll-metadata
+
+# Ignore Jekyll settings
+/_config.yml
+Gemfile
+Gemfile.lock
+.jekyll-cache/
+.jekyll-metadata
+
+# Ignore VS Code settings
+.vscode/
+
+# Ignore other development tools
+.sass-cache/
+.jekyll-plugins/
+.jekyll-versions/
+
+# Ignore test and documentation files
+/_tests/
+/docs/
+*.md

old_version/CNAME

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+tairanhe.com

old_version/data/3DSP_siggraphAsia2013.bib

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+@article {li2013three,
+	Author = {Hao Li and Etienne Vouga and Anton Gudym and Linjie Luo and Jonathan T. Barron and Gleb Gusev},
+	Title = {3D Self-Portraits},
+	Journal = {SIGGRAPH Asia},
+	Year = {2013},
+}

old_version/data/Anderson2016.bib

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+@article{Anderson2016,
+author = {Robert Anderson and David Gallup and Jonathan T. Barron and Janne Kontkanen and Noah Snavely and Carlos Hern\'andez and Sameer Agarwal and Steven M Seitz},
+title = {Jump: Virtual Reality Video},
+journal = {SIGGRAPH Asia},
+year = {2016},
+}

old_version/data/ArbelaezCVPR2014.bib

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+@article{ArbelaezCVPR2014,
+	title = "Multiscale Combinatorial Grouping",
+	author = "Arbel{\'a}ez, Pablo and Pont-Tuset, J. and Barron, Jonathan T. and Marqu{\'e}s, F. and Malik, Jitendra",
+    journal = "CVPR",
+	year = "2014",
+}

old_version/data/B3DO_ICCV_2011.bib

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+@inproceedings{Janoch2011,
+author = {Janoch, Allison and Karayev, Sergey and Jia, Yangqing and Barron, Jonathan T. and Fritz, Mario and Saenko, Kate and Darrell, Trevor},
+booktitle = {ICCV Workshop on Consumer Depth Cameras for Computer Vision},
+title = {A Category-Level 3-D Object Dataset: Putting the Kinect to Work}},
+year = {2011}
+}
+

old_version/data/BarronCVPR2015.bib

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+@article{Barron2015A,
+author = {Jonathan T. Barron and Andrew Adams and YiChang Shih and Carlos Hern\'andez},
+title = {Fast Bilateral-Space Stereo for Synthetic Defocus},
+journal = {CVPR},
+year = {2015},
+}

old_version/data/BarronCVPR2019.bib

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+@article{BarronCVPR2019,
+  Author = {Jonathan T. Barron},
+  Title = {A General and Adaptive Robust Loss Function},
+  Journal = {CVPR},
+  Year = {2019}
+}

old_version/data/BarronCVPR2019_reviews.txt

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+R1:
+
+My first impression is that this paper might be better reviewed in a machine
+learning centered conference (i.e. ICML) instead of the computer vision ones,
+as the major contribution of this paper comes from the loss function that could
+be potentially applied to any learning task, not specific vision task.
+
+Borderline Reject
+
+
+R2:
+
+Good theoretical development of unified robust loss and extensive experimental
+evaluation on four vision task.
+
+Accept

old_version/data/BarronECCV2020.bib

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+@article{barron2020generalization,
+  title={A Generalization of Otsu's Method and Minimum Error Thresholding},
+  author={Barron, Jonathan T},
+  journal={ECCV},
+  year={2020}
+}

old_version/data/BarronICCV2013.bib

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+@article{BarronICCV2013,
+        AUTHOR = "Barron, Jonathan T. and Arbel{\'a}ez, Pablo and Ker{\"a}nen, Soile V. E. and Biggin, Mark D. and Knowles, David W. and Malik, Jitendra",
+        TITLE = "Volumetric Semantic Segmentation using Pyramid Context Features",
+        JOURNAL = "ICCV",
+        YEAR = "2013",
+}

old_version/data/BarronICCV2015.bib

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+@article{BarronICCV2015,
+  Author = {Jonathan T. Barron},
+  Title = {Convolutional Color Constancy},
+  Journal = {ICCV},
+  Year = {2015}
+}

old_version/data/BarronMalikCVPR2011.bib

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+@article{Barron2011,
+Title = {High-Frequency Shape and Albedo from Shading using Natural Image Statistics},
+Journal = {CVPR},
+Author = {Jonathan T. Barron and Jitendra Malik},
+Year = {2011},
+}
+

old_version/data/BarronMalikCVPR2012.bib

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+@article{Barron2012A,
+Title = {Shape, Albedo, and Illumination from a Single Image of an Unknown Object},
+Journal = {CVPR},
+Author = {Jonathan T. Barron and Jitendra Malik},
+Year = {2012},
+}

old_version/data/BarronMalikCVPR2013.bib

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+@article{Barron2013A,
+author = {Jonathan T. Barron and Jitendra Malik},
+title = {Intrinsic Scene Properties from a Single RGB-D Image},
+journal = {CVPR},
+year = {2013},
+}

old_version/data/BarronMalikECCV2012.bib

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+@article{Barron2012B,
+author = {Jonathan T. Barron and Jitendra Malik},
+title = {Color Constancy, Intrinsic Images, and Shape Estimation},
+journal = {ECCV},
+year = {2012},
+}

old_version/data/BarronMalikTPAMI2015.bib

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+@ARTICLE{BarronTPAMI2015, 
+Author = {Jonathan T. Barron and Jitendra Malik},
+Title = {Shape, Illumination, and Reflectance from Shading},
+journal={TPAMI},
+year={2015}, 
+}

old_version/data/BarronMalikTPAMI2015B.bib

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+@ARTICLE{BarronTPAMI2015B, 
+Author = {Jonathan T. Barron and Jitendra Malik},
+title = {Intrinsic Scene Properties from a Single RGB-D Image},
+journal={TPAMI},
+year={2015}, 
+}

old_version/data/BarronPRL2009.bib

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+@techreport{BarronPRL2009,
+   Author = {Jonathan T. Barron and Dave Golland and Nicholas J. Hay},
+   Title = {Parallelizing Reinforcement Learning},
+   Institution = {EECS Department, University of California, Berkeley},
+   Year = {2009},
+}

old_version/data/BarronPooleECCV2016.bib

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+@article{BarronPoole2016,
+author = {Jonathan T. Barron and Ben Poole},
+title = {The Fast Bilateral Solver},
+journal = {ECCV},
+year = {2016},
+}

old_version/data/BarronPooleECCV2016_reviews.txt

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+Essentially sections 1-3 contain very little new. Section 4 is marginally
+interesting. Weak Reject.
+ - R2, CVPR 2016
+
+the paper too much relies on the supplemental material compared with the
+standard usage of the supplemental material. I suggest the authors to directly
+go for a journal submission by reformatting the paper together with the
+supplemental material. Strong Reject.
+ - R1, ECCV 2016
+
+The paper solves a class of relevant problems in a neat manner. The method
+should be made known to a wider audience. Oral.
+ - R3, ECCV 2016

old_version/data/BarronTR2010.bib

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+@techreport{Barron:EECS-2010-94,
+   Author = {Barron, Jonathan T. and Malik, Jitendra},
+   Title = {Discovering Efficiency in Coarse-To-Fine Texture Classification},
+   Institution = {EECS Department, University of California, Berkeley},
+   Year = {2010},
+   Month = {Jun},
+   URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-94.html},
+   Number = {UCB/EECS-2010-94},
+}

old_version/data/BarronTsaiCVPR2017.bib

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+@article{BarronTsai2017,
+author = {Jonathan T. Barron and Yun-Ta Tsai},
+title = {Fast Fourier Color Constancy},
+journal = {CVPR},
+year = {2017},
+}

old_version/data/BrooksBarronCVPR2019.bib

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+@article{BrooksBarronCVPR2019,
+  author    = {Tim Brooks and Jonathan T. Barron},
+  title     = {Learning to Synthesize Motion Blur},
+  journal   = {CVPR},
+  year      = {2019},
+}

old_version/data/BrooksCVPR2019.bib

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+@article{BrooksCVPR2019,
+  author    = {Tim Brooks and
+               Ben Mildenhall and
+               Tianfan Xue and
+               Jiawen Chen and
+               Dillon Sharlet and
+               Jonathan T. Barron},
+  title     = {Unprocessing Images for Learned Raw Denoising },
+  journal   = {CVPR},
+  year      = {2019},
+}

old_version/data/Chen2016.bib

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+@article{Chen2016,
+  author    = {Liang{-}Chieh Chen and Jonathan T. Barron and George Papandreou and Kevin Murphy and Alan L. Yuille},
+  title     = {Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform},
+  journal   = {CVPR},
+  year      = {2016},
+}