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Dec 03, 2020
Computer Vision
Graphics
Machine Learning

pixelNeRF: Neural Radiance Fields from One or Few Images

We propose pixelNeRF, a learning framework that predicts a continuous neural scene representation conditioned on one or few input images. The existin…
Dec 03, 2020
Computer Vision

Learned Initializations for Optimizing Coordinate-Based Neural Repr…

Coordinate-based neural representations have shown significant promise as an alternative to discrete, array-based representations for complex low dim…
Dec 03, 2020
Machine Learning
Numerical Analysis
Optimization and Control

Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style …

Momentum plays a crucial role in stochastic gradient-based optimization algorithms for accelerating or improving training deep neural networks (DNNs)…
Dec 03, 2020
Machine Learning

Classification and reconstruction of optical quantum states with deep…

We apply deep-neural-network-based techniques to quantum state classification and reconstruction. We demonstrate high classification accuracies and r…
Dec 03, 2020
Computer Vision

BasicVSR: The Search for Essential Components in Video Super-Resoluti…

Video super-resolution (VSR) approaches tend to have more components than the image counterparts as they need to exploit the additional temporal dime…
Dec 03, 2020
Cellular Automata and Lattice Gases
Machine Learning

Reconstructing cellular automata rules from observations at noncons…

Recent experiments by Springer and Kenyon have shown that a deep neural network can be trained to predict the action of $t$ steps of Conway's Game of…
Dec 03, 2020
Computer Vision
Machine Learning

DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Tempor…

We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time …
Dec 03, 2020
Robotics

Material Recognition via Heat Transfer Given Ambiguous Initial Cond…

Humans and robots can recognize materials with distinct thermal effusivities by making physical contact and observing temperatures during heat transf…
Dec 03, 2020
Signal Processing
Machine Learning
Networking and Internet Architecture

Channel Effects on Surrogate Models of Adversarial Attacks against …

We consider a wireless communication system that consists of a background emitter, a transmitter, and an adversary. The transmitter is equipped with …
Dec 03, 2020
Computer Vision

MakeupBag: Disentangling Makeup Extraction and Application

This paper introduces MakeupBag, a novel method for automatic makeup style transfer. Our proposed technique can transfer a new makeup style from a re…
Dec 03, 2020
Machine Learning
Molecular Networks
Quantitative Methods

Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing

The 2019 novel coronavirus (SARS-CoV-2) pandemic has resulted in more than a million deaths, high morbidities, and economic distress worldwide. There…
Dec 03, 2020
Machine Learning

Approximate kNN Classification for Biomedical Data

We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increa…
Dec 03, 2020
Computer Vision
Robotics

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for P…

One of the most crucial yet challenging tasks for autonomous vehicles in urban environments is predicting the future behaviour of nearby pedestrians,…
Dec 03, 2020
Computation and Language

Do We Really Need That Many Parameters In Transformer For Extractive …

The multi-head self-attention of popular transformer models is widely used within Natural Language Processing (NLP), including for the task of extrac…
Dec 03, 2020
Machine Learning
Information Theory
Signal Processing
Optimization and Control

Manifold Learning and Deep Clustering with Local Dictionaries

We introduce a novel clustering algorithm for data sampled from a union of nonlinear manifolds. Our algorithm extends a popular manifold clustering f…
Dec 03, 2020
Computer Science and Game Theory
Machine Learning

On the Impossibility of Convergence of Mixed Strategies with No Regre…

We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game …
Dec 03, 2020
Computer Vision
Robotics

Generalized Object Detection on Fisheye Cameras for Autonomous Drivin…

Object detection is a comprehensively studied problem in autonomous driving. However, it has been relatively less explored in the case of fisheye cam…
Dec 03, 2020
Data Structures and Algorithms
Machine Learning
Statistics Theory

Robustly Learning Mixtures of $k$ Arbitrary Gaussians

We give a polynomial-time algorithm for the problem of robustly estimating a mixture of $k$ arbitrary Gaussians in $\mathbb{R}^d$, for any fixed $k$,…
Dec 03, 2020
Computer Vision

Robust Instance Segmentation through Reasoning about Multi-Object O…

Analyzing complex scenes with Deep Neural Networks is a challenging task, particularly when images contain multiple objects that partially occlude ea…
Dec 03, 2020
Computer Vision

Towards Part-Based Understanding of RGB-D Scans

Recent advances in 3D semantic scene understanding have shown impressive progress in 3D instance segmentation, enabling object-level reasoning about …
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