- Page 1 and 2: Microsoft Research Asia Update Hsia
- Page 3 and 4: Microsoft Research Research lab loc
- Page 5 and 6: People and Research Areas Hsiao-Wue
- Page 7 and 8: Research Groups Hardware Computing
- Page 9 and 10: Research Updates Natural User Inter
- Page 11 and 12: Kinect based Object Digitization Si
- Page 13 and 14: Comparisons 35,862 Triangles 36MB M
- Page 15 and 16: Avatar Kinect Facial expression tra
- Page 17 and 18: Xbox Kinect Pipeline: Skeleton Corr
- Page 19 and 20: Skeleton/Gesture Alignment •The s
- Page 21: Output Distribution Model Random fo
- Page 25 and 26: Kinect Based 3D Face Avatar 3D face
- Page 27 and 28: Kinect Based 3D Face Avatar (Fang Y
- Page 29 and 30: Goal: 3D Hair from Single Image Sin
- Page 31 and 32: Result Single portrait image + user
- Page 33 and 34: Strand Tracing
- Page 35 and 36: 3D Strands: hair volume Additional
- Page 37 and 38: Portrait Pop-ups: layers completion
- Page 39 and 40: Hairstyle Replacement Build pop-up
- Page 41 and 42: Hairstyle Replacement: more results
- Page 43 and 44: Limitations Not a complete 3D model
- Page 45 and 46: 3D Hair Replacement
- Page 47 and 48: Research Updates Search and online
- Page 49 and 50: What Are Attributes? Clipart Linedr
- Page 51 and 52: What Are Attributes? Simple Backgro
- Page 53 and 54: Color/Clipart/Linedrawing Filter
- Page 55 and 56: Color Filter Examples dog + red Red
- Page 57 and 58: Color Filter Examples sunset + blue
- Page 59 and 60: Intention Analysis (w/o Query Objec
- Page 61 and 62: Original Images
- Page 63 and 64: Our Solution • Salient object det
- Page 65 and 66: Our Solution • Salient object det
- Page 67 and 68: BMW + blue
- Page 69 and 70: BMW+ red
- Page 71 and 72: dog
- Page 73 and 74:
dog + blue
- Page 75 and 76:
dog + black
- Page 77 and 78:
forest
- Page 79 and 80:
forest + red
- Page 81 and 82:
sunset
- Page 83 and 84:
sunset + green
- Page 85 and 86:
tulips
- Page 87 and 88:
tulips + purple
- Page 89 and 90:
Taylor Swift
- Page 91 and 92:
Taylor Swift + red
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Important Filters Usage on image se
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Cascaded Filtering Simple Backgroun
- Page 97 and 98:
Cascaded Filtering Web Images Backg
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Cascaded Filtering Shape Filter: Pr
- Page 101 and 102:
Cascaded Filtering Texture Filter:
- Page 103 and 104:
Cascaded Filtering Web Images Backg
- Page 105 and 106:
Cascaded Filtering Photo Filter: Cl
- Page 107 and 108:
Cascaded Filtering Text Filter: Tex
- Page 109 and 110:
Cascaded Filtering Web Images Backg
- Page 111 and 112:
Relevance ≠ Clipart Relevance Ran
- Page 113 and 114:
Results without Clipart Specific Te
- Page 115 and 116:
Results without Clipart Specific Te
- Page 117 and 118:
Bing Clipart Filter • Visual filt
- Page 119:
Results
- Page 124 and 125:
Cascaded Filtering Text Filter: Fil
- Page 126 and 127:
Motivation Visual quality is import
- Page 128 and 129:
Integrate Visual Features Color- Hi
- Page 130 and 131:
Image Quality Related Attributes Pe
- Page 132 and 133:
Image Quality Related Attributes Ob
- Page 134 and 135:
Image Quality Related Attributes Im
- Page 136 and 137:
Image Quality Related Attributes Ge
- Page 138 and 139:
Comparison Results Old results (que
- Page 140 and 141:
Comparison Results Old results (que
- Page 142 and 143:
Research Updates Data Intensive Com
- Page 144 and 145:
Urban Computing Improving Sensing U
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1. GPS trajectories of 33,000 taxis
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3. Ticketing data of public transpo
- Page 150 and 151:
5. Real estate market
- Page 152 and 153:
7. POI Data (2007 - 2012)
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Discover Regions of Different Funct
- Page 156 and 157:
Applications • Calibrating urban
- Page 158 and 159:
Methodology Overview Mapping from r
- Page 160 and 161:
Annotation of Territories Emerging
- Page 162 and 163:
Research Updates CS Fundamentals Th
- Page 164 and 165:
GPUs vs. Programmers GPU architectu
- Page 166 and 167:
Research on BSGP (2007~now) Compile
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Contribution to Community BSGP down
- Page 170 and 171:
Motivation Growing demand for fineg
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Key Problem How to efficiently buil
- Page 174 and 175:
Enabling Walking-based Collection I
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Path/Trace list # of Effective turn
- Page 178 and 179:
End-to-end Evaluation* 100% 95% 90%
- Page 180 and 181:
An Illustrative Example Start Actua
- Page 182 and 183:
Conclusion MSRA follows the same mi