| Robust Variational Autoencoders and Normalizing Flows for Unsupervised Network Anomaly Detection | 0 | 0.34 | 2022 |
| Deep Model Compression And Architecture Optimization For Embedded Systems: A Survey | 2 | 0.40 | 2021 |
| Exploiting Visual Context to Identify People in TV Programs. | 0 | 0.34 | 2021 |
| Data-Efficient Information Extraction from Documents with Pre-trained Language Models | 0 | 0.34 | 2021 |
| Sequence Metric Learning as Synchronization of Recurrent Neural Networks | 0 | 0.34 | 2021 |
| 2D Wasserstein loss for robust facial landmark detection | 0 | 0.34 | 2021 |
| Fine-grained facial landmark detection exploiting intermediate feature representations | 0 | 0.34 | 2020 |
| Network Traffic Modeling For IoT-device Re-identification | 0 | 0.34 | 2020 |
| Unsupervised learning of co-occurrences for face images retrieval | 0 | 0.34 | 2020 |
| Learning personalized ADL recognition models from few raw data. | 0 | 0.34 | 2020 |
| Personalized Posture and Fall Classification with Shallow Gated Recurrent Units | 0 | 0.34 | 2019 |
| Deep Siamese Network for Multiple Object Tracking | 0 | 0.34 | 2018 |
| Low-Complexity Approximate Convolutional Neural Networks. | 3 | 0.43 | 2018 |
| Pairwise Identity Verification via Linear Concentrative Metric Learning. | 1 | 0.36 | 2018 |
| End-to-End Data Visualization by Metric Learning and Coordinate Transformation. | 0 | 0.34 | 2016 |
| Siamese multi-layer perceptrons for dimensionality reduction and face identification | 3 | 0.39 | 2016 |
| Blind Super-Resolution With Deep Convolutional Neural Networks | 1 | 0.43 | 2016 |
| A Comparison between Multi-Layer Perceptrons and Convolutional Neural Networks for Text Image Super-Resolution. | 6 | 0.52 | 2015 |
| ICDAR2015 competition on Text Image Super-Resolution | 4 | 0.41 | 2015 |
| Triangular similarity metric learning for face verification | 12 | 0.48 | 2015 |
| Logistic Similarity Metric Learning For Face Verification | 3 | 0.36 | 2015 |
| Evaluation of video activity localizations integrating quality and quantity measurements | 21 | 0.74 | 2014 |
| 3D gesture classification with convolutional neural networks | 10 | 0.69 | 2014 |
| Exploiting Contextual Motion Cues For Visual Object Tracking | 3 | 0.39 | 2014 |
| BLSTM-RNN Based 3D Gesture Classification | 17 | 0.86 | 2013 |
| PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects | 25 | 1.17 | 2013 |
| Learning a bag of features based nonlinear metric for facial similarity | 4 | 0.42 | 2013 |
| Spatio-Temporal Convolutional Sparse Auto-Encoder For Sequence Classification | 24 | 0.85 | 2012 |
| Supervised Learning and Codebook Optimization for Bag-of-Words Models. | 16 | 0.62 | 2012 |
| Combining Multi-scale Character Recognition and Linguistic Knowledge for Natural Scene Text OCR | 9 | 0.48 | 2012 |
| Sequential deep learning for human action recognition | 157 | 5.22 | 2011 |
| Action classification in soccer videos with long short-term memory recurrent neural networks | 18 | 1.28 | 2010 |
| The image text recognition graph (iTRG) | 8 | 0.53 | 2009 |
| An Automatic Method for Video Character Segmentation | 3 | 0.52 | 2008 |
| An online backpropagation algorithm with validation error-based adaptive learning rate | 9 | 0.66 | 2007 |
| Real-time video convolutional face finder on embedded platforms | 4 | 0.56 | 2007 |
| A neural scheme for robust detection of transparent logos in TV programs | 9 | 0.74 | 2006 |
| Supervised Image Classification by SOM Activity Map Comparison | 7 | 0.58 | 2006 |
| Embedded Convolutional Face Finder | 4 | 0.57 | 2006 |
| The 2005 PASCAL visual object classes challenge | 176 | 23.86 | 2005 |
| Bilinear discriminant analysis for face recognition | 3 | 0.48 | 2005 |
