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Sub-sampled Cross-component Prediction for Emerging Video Coding Standards
Cross-component linear model (CCLM) prediction has been repeatedly prove...
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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
In the Click-Through Rate (CTR) prediction scenario, user's sequential b...
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GMOT-40: A Benchmark for Generic Multiple Object Tracking
Multiple Object Tracking (MOT) has witnessed remarkable advances in rece...
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NeRF++: Analyzing and Improving Neural Radiance Fields
Neural Radiance Fields (NeRF) achieve impressive view synthesis results ...
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Cascaded Semantic and Positional Self-Attention Network for Document Classification
Transformers have shown great success in learning representations for la...
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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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Plug-and-Play Image Restoration with Deep Denoiser Prior
Recent works on plug-and-play image restoration have shown that a denois...
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On the Fundamental Limits of Coded Caching Systems with Restricted Demand Types
Caching is a technique to reduce the communication load in peak hours by...
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The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
In this paper, we tackle the problem of convolutional neural network des...
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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
Graph neural networks are promising architecture for learning and infere...
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Learning Context-Based Non-local Entropy Modeling for Image Compression
The entropy of the codes usually serves as the rate loss in the recent l...
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A Method for Curation of Web-Scraped Face Image Datasets
Web-scraped, in-the-wild datasets have become the norm in face recogniti...
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Depth Sensing Beyond LiDAR Range
Depth sensing is a critical component of autonomous driving technologies...
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Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing
With the booming of next generation sequencing technology and its implem...
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DHP: Differentiable Meta Pruning via HyperNetworks
Network pruning has been the driving force for the efficient inference o...
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Deep Unfolding Network for Image Super-Resolution
Learning-based single image super-resolution (SISR) methods are continuo...
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How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
Even though deep learning methods have greatly increased the overall acc...
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Analysis of Gender Inequality In Face Recognition Accuracy
We present a comprehensive analysis of how and why face recognition accu...
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Testing Independence with the Binary Expansion Randomized Ensemble Test
Recently, the binary expansion testing framework was introduced to test ...
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AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on constrained example-based s...
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Unsupervised Context Rewriting for Open Domain Conversation
Context modeling has a pivotal role in open domain conversation. Existin...
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Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
Image captioning is a research hotspot where encoder-decoder models comb...
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Leveraging Vision Reconstruction Pipelines for Satellite Imagery
Reconstructing 3D geometry from satellite imagery is an important topic ...
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Variable screening based on Gaussian Centered L-moments
An important challenge in big data is identification of important variab...
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Neural Blind Deconvolution Using Deep Priors
Blind deconvolution is a classical yet challenging low-level vision prob...
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A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry
Iterative methods for tomographic image reconstruction have great potent...
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A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
The infeasible parts of the objective space in difficult many-objective ...
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Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
While deep neural networks (DNN) based single image super-resolution (SI...
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Penalized linear regression with high-dimensional pairwise screening
In variable selection, most existing screening methods focus on marginal...
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Toward Convolutional Blind Denoising of Real Photographs
Despite their success in Gaussian denoising, deep convolutional neural n...
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Multi-level Wavelet-CNN for Image Restoration
The tradeoff between receptive field size and efficiency is a crucial is...
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Bilateral Teleoperation of Multiple Robots under Scheduling Communication
In this paper, bilateral teleoperation of multiple slaves coupled to a s...
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Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Recent years have witnessed the unprecedented success of deep convolutio...
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Latent Association Mining in Binary Data
We consider the problem of identifying groups of mutually associated var...
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Robust Non-line-of-sight Imaging with Single Photon Detectors
Imaging objects that are obscured by scattering and occlusion is an impo...
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FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Due to the fast inference and good performance, discriminative learning ...
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Learning Deep CNN Denoiser Prior for Image Restoration
Model-based optimization methods and discriminative learning methods hav...
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Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network
Recent years have witnessed great success of convolutional neural networ...
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BET on Independence
We study the problem of nonparametric dependence detection. Many existin...
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Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
Anomaly detection plays an important role in modern data-driven security...
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Discriminative model learning for image denoising has been recently attr...
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Distributed Flexible Nonlinear Tensor Factorization
Tensor factorization is a powerful tool to analyse multi-way data. Compa...
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Spherical Cap Packing Asymptotics and Rank-Extreme Detection
We study the spherical cap packing problem with a probabilistic approach...
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