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03/29/2023
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
The development of language models have moved from encoder-decoder to de...
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06/22/2022
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking
In this work, we present an efficient multi-bit deep image watermarking ...
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10/15/2021
Solving Image PDEs with a Shallow Network
Partial differential equations (PDEs) are typically used as models of ph...
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04/27/2021
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
Digital watermarking is widely used for copyright protection. Traditiona...
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04/26/2021
DVMark: A Deep Multiscale Framework for Video Watermarking
Video watermarking embeds a message into a cover video in an imperceptib...
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08/03/2020
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
Handling digital images is almost always accompanied by a lossy compress...
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06/24/2020
GIFnets: Differentiable GIF Encoding Framework
Graphics Interchange Format (GIF) is a widely used image file format. Du...
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02/01/2020
Better Compression with Deep Pre-Editing
Could we compress images via standard codecs while avoiding artifacts? T...
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01/14/2020
Distortion Agnostic Deep Watermarking
Watermarking is the process of embedding information into an image that ...
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02/13/2019
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting
We study epidemic forecasting on real-world health data by a graph-struc...
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10/04/2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Ranking is a central task in machine learning and information retrieval....
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06/17/2018
Laplacian Smoothing Gradient Descent
We propose a very simple modification of gradient descent and stochastic...
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04/02/2018
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
We present a generic framework for spatio-temporal (ST) data modeling, a...
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02/28/2018
Constrained Classification and Ranking via Quantiles
In most machine learning applications, classification accuracy is not th...
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02/01/2018
Deep Learning with Data Dependent Implicit Activation Function
Though deep neural networks (DNNs) achieve remarkable performances in ma...
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03/26/2017