Graphics, Vision, HCI
K.P. Chan
Wenping Wang
Li-Yi Wei
Kenneth Wong
Yizhou Yu
Li-Yi Wei
Background
Stanford (95-01), NVIDIA (01-05), MSR (05-11)
Research
Nominal: Graphics, HCI, parallelism
Actual: Computing natural repetitions
(Computer science is about repetitions)
Can work on almost anything + have fun 
I tailor projects for individual students (so they also have fun)
Computing natural repetitions
data driven
(non-parametric)
texture synthesis
inverse
synthesis
motion
texture
element
texture
auto
parallelism
parallel
random
HDR
edit
graphics
Parallel
Poisson
differential
analysis
blue noise
procedural
(parametric)
interact
HCI
revision
control
Discrete element textures
[Ma et al. SIGGRAPH 2011]
exemplar
domain
synthesis
output
SIGGRAPH
The coolest (& ass kicking) venue in graphics
Each paper can be worth a PhD thesis
(Just in case you don’t know)
HKU has 4 papers in SIGGRAPH 2012 
So we are awesome (in addition to have fun)
output
input
output
input
output
input
Yizhou Yu
Background
Berkeley (PhD 2000), UIUC (2000 - 2010)
Research
Graphics, vision, image processing
•
•
•
•
•
Computational Photography
Computer Animation
Geometry Processing
Medical Imaging
Video Analytics
Deformation transfer for real time
cloth animation [SIGGRAPH 2010]
Deformation
Transformer
Motivation
• Real-Time Cloth Animation
– Video games, virtual fashion, etc.
• The Problem
– Real-time performance on high-resolution models
– PDE Integration, Collision resolution.
Final Fantasy XIII
Nurien
Overview
• Hybrid Approach :
– Simulate low-res cloth on the GPU
– Rely on a data-driven model to transform the
low-res simulation into a high-res animation
Deformation
Transformer
An Example
High-Res Dress: 27K Triangles, Low-Res Dress: 200 Triangles
Frame Rate: 261
Data-Driven Image Color Theme Enhancement
[SIGGRAPH Asia 2010]
Photo Reuse: how to edit a photograph to enhance a desired
color impression by exploiting prior knowledge extracted from
an existing photo collection?
Waiting for the right season and illumination could be extremely
time-consuming!
source image
nostalgic
lively
Our Goal
Image Color Theme Enhancement
desolate
Input Image
lively
Results
happy
Input Images
spring in the air
sad
peaceful
Wenping Wang
Background
Alberta (PhD 1992), Department Head
Research
Computer graphics
Geometry Processing
Computational geometry
Architectural Design
Scientific Visualization
SIGGRAPH 2006
SIGGRAPH 2007
SIGGRAPH 2008
SIGGRAPH 2008
Kwan-Yee Kenneth Wong
Background
Cambridge (PhD 2001)
Research
3D modeling
Video surveillance
Image processing
Pattern recognition
…
3D Model Reconstruction
 Robust recovery of shapes with unknown topology
from the dual space (PAMI 2007)
contour
generator
silhouette
N
3D Model Reconstruction
 Robust recovery of shapes with unknown topology
from the dual space (PAMI 2007)
original
surface
tangent
tangent
operation
operation
dual
surface
original
surface
3D Model Reconstruction
 Robust recovery of shapes with unknown topology
from the dual space (PAMI 2007)
Eye Gaze Tracking
 Reconstruction of display and eyes from a single image
(CVPR 2010)
27
Eye Gaze Tracking
 Reconstruction of display and eyes from a single image
(CVPR 2010)
28
Kwok-Ping Chan
Background
HKU (PhD 1989)
Research
• To apply various Machine Learning methods on
Pattern Recognitions, such as facial expression
recognition.
• Study on Cross Domain Learning where the training
and the testing domain are not the same.
Facial Expression Recognition
Goal: to recognize one of the seven
basic facial expressions:
Methods
• Dynamic Bayesian Network
• Discriminative Hidden Markov Models
• Discriminative Temporal Topic Models
• Given an image sequence of facial
expression, we compute the probability of
each expression using the above techniques.
Examples: Smile with blinking eyes:
From input, produce output
similar to input
arbitrary size
Key Publication: CVPR 2009