I.C.V.L.

Datasets and source codes, which are available for academic purposes only, are uploaded here and/or at the individual webpages of our team members.

Datasets

Action Recognition

T.H. Yu, T-K. Kim, and R. Cipolla, Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-modality Regression Forest, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, 2013

Hand Gesture Recognition

S. Yuan, Q. Ye, B. Stenger, S. Jain, T-K. Kim, Big Hand 2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017.

D. Tang, H.J. Chang, A. Tejani, T-K. Kim, Latent Regression Forest: Structural Estimation of 3D Articulated Hand Posture, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, accept rate=5.75%)

D. Tang, T.H. Yu and T-K. Kim, Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Sydney, Australia, 2013 (oral, accept rate=41/1629)

T-K. Kim and R. Cipolla, Gesture Recognition Under Small Sample Size, In Proc. 8th Asian Conf. on Computer Vision (ACCV) (Lecture Notes in Computer Science), Tokyo, Japan, November 2007. (Oral, 8.4% acceptance ratio)

3D Object Detection

A. Doumanoglou, R. Kouskouridas, S. Malassiotis, T-K. Kim, Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016.

Reduced version of the ICVL 6 DoF Object Pose and Next-Best-View Prediction Dataset can be found in HERE.

A. Tejani, D. Tang, R. Kouskouridas, T-K. Kim, Latent-Class Hough Forests for 3D Object Detection and Pose Estimation, Proc. of European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014

Reduced version of the ICVL 6 DoF Object Pose Estimation Dataset can be found in HERE.

Face Recognition

C. Xiong, G. Gao, S. Yan, Z. Zha, H. Ma, T-K. Kim, Adaptive Learning for Celebrity Identification with Video Context, IEEE Trans. on Multimedia, Vol.16, No.5, Aug 2014

T-K. Kim, S-F. Wong, B. Stenger, J. Kittler and R. Cipolla, Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations, In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, 2007.

Source codes

C. Tsiotsios and M. Petrou, On the Choice of the Parameters for Anisotropic Diffusion in Image Processing,Pattern Recognition, Volume 46, Issue 5, May 2013

T-K. Kim, J. Kittler and R. Cipolla, Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.29, No.6, 2007 (Regular paper).

T-K. Kim, S-F. Wong, B. Stenger, J. Kittler and R. Cipolla, Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations, In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, 2007.