Z. Lv, K. Kim, A. Troccoli, D. Sun, J.M. Rehg, J. Kautz, Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation, accepted to the European Conference on Computer Vision (ECCV), 2018. [arxiv]
Y.C. Hsu, Z. Lv, J. Schlosser, P. Odom, Z. Kira, A probabilistic constrained clustering for transfer learning and image category discovery", in the 2018 CVPR Deep-Vision Workshop, 2018. [arxiv] [code]
Y.C. Hsu, Z. Xu, Z. Kira, and J. Huang, Learning to Cluster for Proposal-Free Instance Segmentation", accepted to the International Conference on Neural Networks (IJCNN), 2018. [arxiv]
C.Y. Ma, A. Kadav, I. Melvin, Z. Kira, G. AlRegib, and H. Peter Graf, Grounded Objects and Interactions for Video Captioning", accepted to the NIPS 2017 Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. [arxiv]
Z. Lv, C. Beall, P.F. Alcantarilla, F. Li, Z. Kira, and F. Dellaert, "A Continuous Optimization Approach for Efficient and Accurate Scene Flow", accepted to the European Conference on Computer Vision (ECCV), 2016.
@article{lv2016sceneflow,
title={A Continuous Optimization Approach for Efficient and Accurate Scene Flow},
author={Z. Lv, C. Beall, P.F. Alcantarilla, F. Li, Z. Kira, and F. Dellaert},
journal={European Conference on Computer Vision (ECCV)},
year={2016}
}
Y.C. Hsu and Z. Kira, "Neural network-based clustering using pairwise constraints", accepted to the Workshop Track at the International Conference on Learning Representations, 2016.
View Project
@article{hsu2016nnclustering,
title={Neural network-based clustering using pairwise constraints},
author={Yen-Chang Hsu, Zsolt Kira},
journal={International Conference on Learning Representations (Workshop Track)},
year={2016}
}