Stebėti
Bohyung Han
Pavadinimas
Cituota
Cituota
Metai
Learning Deconvolution Network for Semantic Segmentation
H Noh, S Hong, B Han
International Conference on Computer Vision (ICCV), 2015
57002015
Learning multi-domain convolutional neural networks for visual tracking
H Nam, B Han
Proceedings of the IEEE conference on computer vision and pattern …, 2016
31872016
The Visual Object Tracking VOT2015 Challenge Results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE International Conference on Computer Vision …, 2015
22312015
The Visual Object Tracking VOT2016 challenge results
M Kristan
1296*2016
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
S Hong, T You, S Kwak, B Han
International Conference on Machine Learning (ICML), 2015
1074*2015
Large scale image retrieval with attentive deep local features
H Noh, A Araujo, J Sim, T Weyand, B Han
Proceedings of the IEEE International Conference on Computer Vision, 3456-3465, 2017
9442017
Domain-specific batch normalization for unsupervised domain adaptation
WG Chang, T You, S Seo, S Kwak, B Han
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2019
4862019
Image question answering using convolutional neural network with dynamic parameter prediction
H Noh, PH Seo, B Han
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4212016
Weakly supervised action localization by sparse temporal pooling network
P Nguyen, T Liu, G Prasad, B Han
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4202018
Modeling and propagating cnns in a tree structure for visual tracking
H Nam, M Baek, B Han
arXiv preprint arXiv:1608.07242, 2016
4122016
Decoupled deep neural network for semi-supervised semantic segmentation
S Hong, H Noh, B Han
Advances in neural information processing systems, 1495-1503, 2015
4112015
Real-time MDNet
I Jung, J Son, M Baek, B Han
European Conference on Computer Vision (ECCV), 2018
3422018
Multi-object tracking with quadruplet convolutional neural networks
J Son, M Baek, M Cho, B Han
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3072017
Channel attention is all you need for video frame interpolation
M Choi, H Kim, B Han, N Xu, KM Lee
Proceedings of AAAI Conference on Artificial Intelligence, 2020
2952020
Learning to optimize domain specific normalization for domain generalization
S Seo, Y Suh, D Kim, J Han, B Han
Proceedings of the European Conference on Computer Vision (ECCV), 2020
2802020
Local-global video-text interactions for temporal grounding
J Mun, M Cho, B Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2772020
Sequential kernel density approximation and its application to real-time visual tracking
B Han, D Comaniciu, Y Zhu, LS Davis
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (7), 1186-1197, 2008
2422008
Regularizing deep neural networks by noise: Its interpretation and optimization
H Noh, T You, J Mun, B Han
Advances in Neural Information Processing Systems (NIPS), 2017
2352017
Sequential kernel density approximation through mode propagation: applications to background modeling
B Han, D Comaniciu, L Davis
Proc. ACCV 2004, 2004
2322004
Learning transferrable knowledge for semantic segmentation with deep convolutional neural network
S Hong, J Oh, H Lee, B Han
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2212016
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20