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09/13/2023
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Imbalanced distributions are ubiquitous in real-world data. They create ...
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06/18/2023
GAN-based Image Compression with Improved RDO Process
GAN-based image compression schemes have shown remarkable progress latel...
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05/30/2023
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Attention-based sequential recommendation methods have demonstrated prom...
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02/25/2023
JND-Based Perceptual Optimization For Learned Image Compression
Recently, learned image compression schemes have achieved remarkable imp...
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08/16/2022
HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation
Significant improvement has been made on just noticeable difference (JND...
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06/08/2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
The performance of time series forecasting has recently been greatly imp...
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03/01/2022
Full RGB Just Noticeable Difference (JND) Modelling
Just Noticeable Difference (JND) has many applications in multimedia sig...
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01/07/2022
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding
Recently, various view synthesis distortion estimation models have been ...
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12/19/2021
A New Image Codec Paradigm for Human and Machine Uses
With the AI of Things (AIoT) development, a huge amount of visual data, ...
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08/07/2019
Continuous Graph Flow for Flexible Density Estimation
In this paper, we propose Continuous Graph Flow, a generative continuous...
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11/28/2018
Image Generation from Layout
Despite significant recent progress on generative models, controlled gen...
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10/01/2018
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Inspired by the observation that humans are able to process videos effic...
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01/25/2018
Generating Handwritten Chinese Characters using CycleGAN
Handwriting of Chinese has long been an important skill in East Asia. Ho...
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10/31/2017
Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process
Constructing a smart wheelchair on a commercially available powered whee...
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10/28/2017
Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments
Robots are increasingly operating in indoor environments designed for an...
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10/28/2017
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
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10/27/2017
Multi-level Residual Networks from Dynamical Systems View
Deep residual networks (ResNets) and their variants are widely used in m...
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10/22/2017
Backtracking Regression Forests for Accurate Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
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09/12/2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Recently, deep residual networks have been successfully applied in many ...
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07/09/2017
