Department of Computer Science, University of
Texas at Austin
[resume]
I
am a Ph.D. student in Department of Computer Science at Univerisity
of
Texas at Austin, where I am studying computer vision under the
supervision of Prof. Kristen Grauman.
Publications
Deformable Spatial Pyramid Matching
for Fast Dense Correspondences. Jaechul Kim, Ce Liu, Fei Sha, and Kristen Grauman. CVPR 2013
to appear.
Shape Sharing for Object
Segmentation.(oral) Jaechul Kim and Kristen Grauman. ECCV 2012. [pdf]
[project
page] [code]
[slides]
Key-Segments for Video Object
Segmentation.
Yong Jae Lee, Jaechul Kim and Kristen Grauman. ICCV 2011. [pdf]
[project
page] [code]
Boundary Preserving Dense Local
Regions. (oral)
Jaechul Kim and Kristen Grauman. CVPR 2011. [pdf]
[project page]
[code]
[slides]
Asymmetric Region-to-Image Matching
for Comparing Images with Generic Object Categories.
Jaechul Kim and Kristen Grauman. CVPR 2010. [pdf]
[project
page] [code]
Observe Locally, Infer Globally: a
Space-Time MRF for Detecting Abnormal Activities with Incremental
Updates.
Jaechul Kim and Kristen Grauman. CVPR 2009. [pdf]
[project
page] [demo]
[data]
A Dense Stereo Matching Using
Two‐Pass Dynamic Programming with Generalized Ground Control
Points.
Jaechul Kim, KyoungMu Lee, ByeongTae Choi, and Sang‐Uk Lee. CVPR
2005. [pdf] [poster]
Shrink‐Wrapped Boundary Face
Algorithm for Mesh Reconstruction from Unorganized Points.
BonKi Koo, YoungKyu Choi, ChangWoo Chu, Jaechul Kim, and ByeongTae
Choi. ETRI Journal, vol. 27, no 2, pp. 235‐238, Apr. 2005. [pdf]
Camera Calibration Using a Single
Arbitrary Parallelogram.
Jaechul Kim, KyoungMu Lee, and Sang‐Uk Lee. ACCV 2004. [pdf] [slides]
Practical Method for
Auto‐Calibration of Zooming Cameras from the Views Containing a
Rectangle of Unknown Size.
Jaechul Kim, BonKi Koo, ChangWoo Chu, and ByeongTae Choi. ICAT 2004.
[pdf]
Codes
Object segmentation: [code
download]
Generating
object segment hypotheses based on Shape Sharing [Kim and Grauman,
2012], written in Matlab and C++ (Matlab wrapper provided).
Boundaray Preserving Dense Local
Regions (BPLRs) detector: [code
download]
BPLR local feature detector [Kim and Grauman, 2011] and some
descriptors (HoG, chordiogram and color histogram) for the extracted
BPLRs, written in Matlab and C++ (Matlab wrapper provided).
Asymmetric image matching: [code
download]
Region-to-image matching method [Kim and Grauman,
2010], written in Matlab and C++ (Matlab wrapper provided).
Loopy belief propagation: [code download]
Implementation of loopy belief propagation algorithm [Yedidia,
Freeman and Weiss, 2003], written in Matlab and C++ (Matlab
wrapper provided).
Mixtures of Probabilistic Principal
Component Analysers (MPPCA): Code is available upon
request.
Implementation of (incremental) MPPCA algorithm [Tipping and Bishop,
1999], written in C++.
Jaechul Kim