University of California, San Diego

∙ La Jolla , United States ∙ 0 followers

The University California, San Diego is one of the world's leading public research universities, located in beautiful La Jolla, California.

A Simple Fix for Convolutional Neural Network via Coordinate Embedding

Convolutional Neural Networks (CNN) has been widely applied in the realm...
03/24/2020 ∙ by Liliang Ren, et al. ∙ 59 ∙ share

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Single Image Portrait Relighting

Lighting plays a central role in conveying the essence and depth of the ...
05/02/2019 ∙ by Tiancheng Sun, et al. ∙ 50 ∙ share

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Recent Advances in Algorithmic High-Dimensional Robust Statistics

Learning in the presence of outliers is a fundamental problem in statist...
11/14/2019 ∙ by Ilias Diakonikolas, et al. ∙ 39 ∙ share

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What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer

Visual kinship recognition aims to identify blood relatives from facial ...
11/16/2019 ∙ by Pengyu Gao, et al. ∙ 37 ∙ share

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Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

In this paper, we address the problem of forecasting agent trajectories ...
01/03/2020 ∙ by Nachiket Deo, et al. ∙ 29 ∙ share

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A Deep Factorization of Style and Structure in Fonts

We propose a deep factorization model for typographic analysis that dise...
10/02/2019 ∙ by Akshay Srivatsan, et al. ∙ 28 ∙ share

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Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness

We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D re...
11/27/2019 ∙ by Shuo Cheng, et al. ∙ 27 ∙ share

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Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data

Image space feature detection is the act of selecting points or parts of...
12/09/2019 ∙ by Alexander Mai, et al. ∙ 27 ∙ share

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Unaligned Image-to-Sequence Transformation with Loop Consistency

We tackle the problem of modeling sequential visual phenomena. Given exa...
10/09/2019 ∙ by Siyang Wang, et al. ∙ 25 ∙ share

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Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement

Generic Image recognition is a fundamental and fairly important visual p...
08/22/2019 ∙ by Zhiqiang Shen, et al. ∙ 24 ∙ share

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Faster Boosting with Smaller Memory

The two state-of-the-art implementations of boosted trees: XGBoost and L...
01/25/2019 ∙ by Julaiti Alafate, et al. ∙ 22 ∙ share

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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

When trained effectively, the Variational Autoencoder (VAE) is both a po...
09/02/2019 ∙ by Bohan Li, et al. ∙ 22 ∙ share

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Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance

Augmented Reality is used in Image Guided surgery (AR IG) to fuse surgic...
01/29/2020 ∙ by Michael Barrow, et al. ∙ 20 ∙ share

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Minimax Semiparametric Learning With Approximate Sparsity

Many objects of interest can be expressed as a linear, mean square conti...
12/27/2019 ∙ by Jelena Bradic, et al. ∙ 19 ∙ share

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Complete the Look: Scene-based Complementary Product Recommendation

Modeling fashion compatibility is challenging due to its complexity and ...
12/04/2018 ∙ by Wang-Cheng Kang, et al. ∙ 16 ∙ share

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The Optimal Approximation Factor in Density Estimation

Consider the following problem: given two arbitrary densities q_1,q_2 an...
02/10/2019 ∙ by Olivier Bousquet, et al. ∙ 16 ∙ share

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Morphing and Sampling Network for Dense Point Cloud Completion

3D point cloud completion, the task of inferring the complete geometric ...
11/30/2019 ∙ by Minghua Liu, et al. ∙ 16 ∙ share

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Normal Assisted Stereo Depth Estimation

Accurate stereo depth estimation plays a critical role in various 3D tas...
11/24/2019 ∙ by Uday Kusupati, et al. ∙ 15 ∙ share

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Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines

Restricted Boltzmann machines (RBMs) are a powerful class of generative ...
01/15/2020 ∙ by Haik Manukian, et al. ∙ 15 ∙ share

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Model Extraction and Active Learning

Machine learning is being increasingly used by individuals, research ins...
11/05/2018 ∙ by Varun Chandrasekaran, et al. ∙ 14 ∙ share

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CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs

This paper proposes CodeX, an end-to-end framework that facilitates enco...
01/17/2019 ∙ by Mohammad Samragh, et al. ∙ 12 ∙ share

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"Looking at the right stuff" – Guided semantic-gaze for autonomous driving

In recent years, predicting driver's focus of attention has been a very ...
11/24/2019 ∙ by Anwesan Pal, et al. ∙ 12 ∙ share

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Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices

Recent advances demonstrate that irregularly wired neural networks from ...
03/04/2020 ∙ by Byung Hoon Ahn, et al. ∙ 12 ∙ share

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Progressive Growing of Neural ODEs

Neural Ordinary Differential Equations (NODEs) have proven to be a power...
03/08/2020 ∙ by Hammad A. Ayyubi, et al. ∙ 12 ∙ share

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Associative Convolutional Layers

Motivated by the necessity for parameter efficiency in distributed machi...
06/10/2019 ∙ by Hamed Omidvar, et al. ∙ 11 ∙ share

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Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions

Automatic music generation is an interdisciplinary research topic that c...
02/05/2020 ∙ by Ke Chen, et al. ∙ 11 ∙ share

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SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

Unsupervised learning for visual perception of 3D geometry is of great i...
12/13/2018 ∙ by Yue Meng, et al. ∙ 10 ∙ share

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Bio-Inspired Hashing for Unsupervised Similarity Search

The fruit fly Drosophila's olfactory circuit has inspired a new locality...
01/14/2020 ∙ by Chaitanya K. Ryali, et al. ∙ 10 ∙ share

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SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics

Traditional control and task automation have been successfully demonstra...
09/11/2019 ∙ by Yang Li, et al. ∙ 9 ∙ share

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Deep Learning Based Video System for Accurate and Real-Time Parking Measurement

Parking spaces are costly to build, parking payments are difficult to en...
02/20/2019 ∙ by Bill Yang Cai, et al. ∙ 8 ∙ share

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Comparison of Neural Network Architectures for Spectrum Sensing

Different neural network (NN) architectures have different advantages. C...
07/15/2019 ∙ by Ziyu Ye, et al. ∙ 8 ∙ share

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Forced Spatial Attention for Driver Foot Activity Classification

This paper provides a simple solution for reliably solving image classif...
07/27/2019 ∙ by Akshay Rangesh, et al. ∙ 8 ∙ share

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Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin

We study the problem of properly learning large margin halfspaces in th...
08/29/2019 ∙ by Ilias Diakonikolas, et al. ∙ 7 ∙ share

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Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge

A driver's gaze is critical for determining the driver's attention level...
02/06/2020 ∙ by Akshay Rangesh, et al. ∙ 7 ∙ share

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...
11/29/2018 ∙ by Xibin Song, et al. ∙ 6 ∙ share

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An adaptive nearest neighbor rule for classification

We introduce a variant of the k-nearest neighbor classifier in which k i...
05/29/2019 ∙ by Akshay Balsubramani, et al. ∙ 6 ∙ share

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Visualizing the PHATE of Neural Networks

Understanding why and how certain neural networks outperform others is k...
08/07/2019 ∙ by Scott Gigante, et al. ∙ 6 ∙ share

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Learning from Interventions using Hierarchical Policies for Safe Learning

Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well ...
12/04/2019 ∙ by Jing Bi, et al. ∙ 6 ∙ share

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Target driven visual navigation exploiting object relationships

Recently target driven visual navigation strategies have gained a lot of...
03/15/2020 ∙ by Yiding Qiu, et al. ∙ 5 ∙ share

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Concept Mask: Large-Scale Segmentation from Semantic Concepts

Existing works on semantic segmentation typically consider a small numbe...
08/18/2018 ∙ by Yufei Wang, et al. ∙ 4 ∙ share

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A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

We present a novel and unified deep learning framework which is capable ...
09/05/2018 ∙ by Alexander Liu, et al. ∙ 4 ∙ share

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Learning Ising Models with Independent Failures

We give the first efficient algorithm for learning the structure of an I...
02/13/2019 ∙ by Surbhi Goel, et al. ∙ 4 ∙ share

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Meta-Learning with Differentiable Convex Optimization

Many meta-learning approaches for few-shot learning rely on simple base ...
04/07/2019 ∙ by Kwonjoon Lee, et al. ∙ 4 ∙ share

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3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams

In this paper, we focus on obtaining 2D and 3D labels, as well as track ...
05/01/2019 ∙ by Walter Zimmer, et al. ∙ 4 ∙ share

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Resource-Efficient Computing in Wearable Systems

We propose two optimization techniques to minimize memory usage and comp...
07/07/2019 ∙ by Mahdi Pedram, et al. ∙ 3 ∙ share

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The Power of Comparisons for Actively Learning Linear Classifiers

In the world of big data, large but costly to label datasets dominate ma...
07/08/2019 ∙ by Max Hopkins, et al. ∙ 3 ∙ share

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Nonconvex Regularized Robust Regression with Oracle Properties in Polynomial Time

This paper investigates tradeoffs among optimization errors, statistical...
07/09/2019 ∙ by Xiaoou Pan, et al. ∙ 3 ∙ share

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Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners

This paper describes Motion Planning Networks (MPNet), a computationally...
07/13/2019 ∙ by Ahmed H. Qureshi, et al. ∙ 3 ∙ share

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Looking at Hands in Autonomous Vehicles: A ConvNet Approach using Part Affinity Fields

In the context of autonomous driving, where humans may need to take over...
04/03/2018 ∙ by Kevan Yuen, et al. ∙ 2 ∙ share

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Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions

We present a neural network architecture based upon the Autoencoder (AE)...
07/17/2018 ∙ by Tim Sainburg, et al. ∙ 2 ∙ share

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University of California, San Diego

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