暂无分享,去创建一个
Teruhisa Misu | Ahmed Taha | Yi-Ting Chen | Abhinav Shrivastava | Larry Davis | L. Davis | Abhinav Shrivastava | Yi-Ting Chen | Teruhisa Misu | Ahmed Taha
[1] Carlos D. Castillo,et al. Triplet probabilistic embedding for face verification and clustering , 2016, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[2] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[3] Roberto Cipolla,et al. Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning , 2017, IJCAI.
[4] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[5] Bolei Zhou,et al. Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Xiaogang Wang,et al. Learning from massive noisy labeled data for image classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Chen Huang,et al. Learning Deep Representation for Imbalanced Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Zoubin Ghahramani,et al. Deep Bayesian Active Learning with Image Data , 2017, ICML.
[9] Yi Yang,et al. Pedestrian Alignment Network for Large-scale Person Re-Identification , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[10] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[11] Shengcai Liao,et al. Person re-identification by Local Maximal Occurrence representation and metric learning , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Yuichi Nakamura,et al. Approximation of dynamical systems by continuous time recurrent neural networks , 1993, Neural Networks.
[13] Lucas Beyer,et al. In Defense of the Triplet Loss for Person Re-Identification , 2017, ArXiv.
[14] Nanning Zheng,et al. Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Yale Song,et al. Improving Pairwise Ranking for Multi-label Image Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Chen Huang,et al. Local Similarity-Aware Deep Feature Embedding , 2016, NIPS.
[18] Alexander J. Smola,et al. Heteroscedastic Gaussian process regression , 2005, ICML.
[19] A. Weigend,et al. Estimating the mean and variance of the target probability distribution , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[20] Kate Saenko,et al. Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Doina Precup,et al. Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation , 2018, MICCAI.
[22] Shiliang Zhang,et al. Deep Attributes Driven Multi-Camera Person Re-identification , 2016, ECCV.
[23] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[24] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[25] Alex Kendall,et al. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? , 2017, NIPS.
[26] Carlo Tomasi,et al. Features for Multi-target Multi-camera Tracking and Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Yi Yang,et al. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Yi Yang,et al. Person Re-identification: Past, Present and Future , 2016, ArXiv.
[30] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Yi-Ting Chen,et al. Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems , 2019, ArXiv.
[32] Kaiqi Huang,et al. Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[34] Yifan Sun,et al. SVDNet for Pedestrian Retrieval , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[35] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[36] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).