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Using Image Priors to Improve Scene Understanding
Semantic segmentation algorithms that can robustly segment objects acros...
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Inverse Graph Learning over Optimization Networks
Many inferential and learning tasks can be accomplished efficiently by m...
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Estimating People Flows to Better Count them in Crowded Scenes
State-of-the-art methods for counting people in crowded scenes rely on d...
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giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
We introduce giotto-tda, a Python library that integrates high-performan...
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Image Restoration using Plug-and-Play CNN MAP Denoisers
Plug-and-play denoisers can be used to perform generic image restoration...
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Learn to synthesize and synthesize to learn
Attribute guided face image synthesis aims to manipulate attributes on a...
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Shape Reconstruction by Learning Differentiable Surface Representations
Generative models that produce point clouds have emerged as a powerful t...
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Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Most approaches in few-shot learning rely on costly annotated data relat...
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Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Ridesharing is a coordination problem in its core. Traditionally it has ...
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Self-Supervised Deep Active Accelerated MRI
We propose to simultaneously learn to sample and reconstruct magnetic re...
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Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data
This work focuses on the development of a new family of decision-making ...
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Data Parallelism in Training Sparse Neural Networks
Network pruning is an effective methodology to compress large neural net...
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Isometric Transformation Invariant Graph-based Deep Neural Network
Learning transformation invariant representations of visual data is an i...
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Segmentation-driven 6D Object Pose Estimation
The most recent trend in estimating the 6D pose of rigid objects has bee...
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PifPaf: Composite Fields for Human Pose Estimation
We propose a new bottom-up method for multi-person 2D human pose estimat...
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Exploring Factors for Improving Low Resolution Face Recognition
State-of-the-art deep face recognition approaches report near perfect pe...
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Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
End-to-end deep-learning networks recently demonstrated extremely good p...
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Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks
We introduce a new scene graph generation method called image-level atte...
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Neural Scene Decomposition for Multi-Person Motion Capture
Learning general image representations has proven key to the success of ...
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Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting
State-of-the-art methods for counting people in crowded scenes rely on d...
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Joint Learning of Semantic Alignment and Object Landmark Detection
Convolutional neural networks (CNNs) based approaches for semantic align...
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On the Performance of Exact Diffusion over Adaptive Networks
Various bias-correction methods such as EXTRA, DIGing, and exact diffusi...
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Learning Vision-based Flight in Drone Swarms by Imitation
Decentralized drone swarms deployed today either rely on sharing of posi...
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Structure-Property Maps with Kernel Principal Covariates Regression
Data analysis based on linear methods, which look for correlations betwe...
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BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Image restoration encompasses fundamental image processing tasks that ha...
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Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
Since we were babies, we intuitively develop the ability to correlate th...
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MeshSDF: Differentiable Iso-Surface Extraction
Geometric Deep Learning has recently made striking progress with the adv...
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An Approximate Bayesian Approach to Surprise-Based Learning
Surprise-based learning allows agents to adapt quickly in non-stationary...
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Self-supervised Training of Proposal-based Segmentation via Background Prediction
While supervised object detection methods achieve impressive accuracy, t...
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Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
In this work, we propose a novel Cycle In Cycle Generative Adversarial N...
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Conditional LSTM-GAN for Melody Generation from Lyrics
Melody generation from lyrics has been a challenging research issue in t...
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MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square
The rapid development of autonomous driving and mobile mapping calls for...
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Is Local SGD Better than Minibatch SGD?
We study local SGD (also known as parallel SGD and federated averaging),...
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Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
We propose a meta-learning approach that learns from multiple tasks in a...
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VIENA2: A Driving Anticipation Dataset
Action anticipation is critical in scenarios where one needs to react be...
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Attribute-Guided Sketch Generation
Facial attributes are important since they provide a detailed descriptio...
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Revisiting hard thresholding for DNN pruning
The most common method for DNN pruning is hard thresholding of network w...
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iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
With the advent of data science, the analysis of network or graph data h...
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SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
By benefiting from perceptual losses, recent studies have improved signi...
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A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment
We introduce a novel modeling framework for studying epidemics that is s...
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Rethinking Person Re-Identification with Confidence
A common challenge in person re-identification systems is to differentia...
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MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
We tackle the fundamentally ill-posed problem of 3D human localization f...
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Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Blind and universal image denoising consists of a unique model that deno...
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Benefiting from Multitask Learning to Improve Single Image Super-Resolution
Despite significant progress toward super resolving more realistic image...
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Geometry-aware Deep Network for Single-Image Novel View Synthesis
This paper tackles the problem of novel view synthesis from a single ima...
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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Machine learning (ML) has become a core component of many real-world app...
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Efficient Differentiable Programming in a Functional Array-Processing Language
We present a system for the automatic differentiation of a higher-order ...
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Fast Rotational Sparse Coding
We propose an algorithm for rotational sparse coding along with an effic...
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MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
This paper addresses the general problem of blind echo retrieval, i.e., ...
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A `Little Bit' Too Much? High Speed Imaging from Sparse Photon Counts
Recent advances in photographic sensing technologies have made it possib...
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