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06/23/2020
AFDet: Anchor Free One Stage 3D Object Detection
High-efficiency point cloud 3D object detection operated on embedded sys...
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06/21/2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
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06/14/2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
This paper presents and characterizes an Open Application Repository for...
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04/05/2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
When trained effectively, the Variational Autoencoder (VAE) can be both ...
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01/24/2020
Results of nested canalizing functions
Boolean nested canalizing functions (NCF) have important applications in...
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01/08/2020
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
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12/23/2019
FasterSeg: Searching for Faster Real-time Semantic Segmentation
We present FasterSeg, an automatically designed semantic segmentation ne...
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12/10/2019
Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Sparsity and varied density are two of the main obstacles for 3D detecti...
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12/02/2019
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks
Autonomous vehicles can combine their own data with that of other vehicl...
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09/17/2019
An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation
Aiming at the difficulty of extracting image features and estimating the...
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07/11/2019
Object Detection in Video with Spatial-temporal Context Aggregation
Recent cutting-edge feature aggregation paradigms for video object detec...
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06/23/2019
Densely Connected Search Space for More Flexible Neural Architecture Search
In recent years, neural architecture search (NAS) has dramatically advan...
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06/13/2019
The iMaterialist Fashion Attribute Dataset
Large-scale image databases such as ImageNet have significantly advanced...
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05/16/2019
Joint Learning of Neural Networks via Iterative Reweighted Least Squares
In this paper, we introduce the problem of jointly learning feed-forward...
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02/24/2019
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations
Crowd-sourcing is a cheap and popular means of creating training and eva...
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02/01/2019
Multilingual NER Transfer for Low-resource Languages
In massively multilingual transfer NLP models over many source languages...
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11/19/2018
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Recently, semantic segmentation and general object detection frameworks ...
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07/25/2018
Searching for the closest-pair in a query translate
In this paper, we consider a range-search variant of the closest-pair pr...
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07/13/2018
Computer Analysis of Architecture Using Automatic Image Understanding
In the past few years, computer vision and pattern recognition systems h...
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03/20/2018
Graph-based regularization for regression problems with highly-correlated designs
Sparse models for high-dimensional linear regression and machine learnin...
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12/28/2017
New bounds for range closest-pair problems
Given a dataset S of points in R^2, the range closest-pair (RCP) problem...
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08/08/2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Active learning aims to select a small subset of data for annotation suc...
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08/03/2017
Automatic Spatially-aware Fashion Concept Discovery
This paper proposes an automatic spatially-aware concept discovery appro...
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07/19/2017
Learning Unified Embedding for Apparel Recognition
In apparel recognition, specialized models (e.g. models trained for a pa...
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03/26/2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Chest X-ray (CXR) is one of the most commonly prescribed medical imaging...
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04/12/2016