Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings | 0 | 0.34 | 2022 |
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study | 0 | 0.34 | 2021 |
GIFnets: Differentiable GIF Encoding Framework | 0 | 0.34 | 2020 |
Distortion Agnostic Deep Watermarking | 0 | 0.34 | 2020 |
Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. | 0 | 0.34 | 2019 |
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. | 0 | 0.34 | 2019 |
Seq2Slate: Re-ranking and Slate Optimization with RNNs. | 4 | 0.39 | 2018 |
Uncertainty quantification in graph-based classification of high dimensional data | 0 | 0.34 | 2018 |
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. | 2 | 0.39 | 2018 |
Deep Neural Nets with Interpolating Function as Output Activation. | 3 | 0.39 | 2018 |
Deep Learning with Data Dependent Implicit Activation Function. | 1 | 0.35 | 2018 |
Constrained Classification and Ranking via Quantiles. | 0 | 0.34 | 2018 |
Laplacian Smoothing Gradient Descent. | 4 | 0.43 | 2018 |
Uncertainty Quantification in the Classification of High Dimensional Data. | 3 | 0.43 | 2017 |