
Towards Automated Swimming Analytics Using Deep Neural Networks
Methods for creating a system to automate the collection of swimming ana...
read it

EigenGNN: A Graph Structure Preserving Plugin for GNNs
Graph Neural Networks (GNNs) are emerging machine learning models on gra...
read it

Continuous Graph Flow for Flexible Density Estimation
In this paper, we propose Continuous Graph Flow, a generative continuous...
read it

Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Understanding temporal dynamics has proved to be highly valuable for acc...
read it

Generating Robust Supervision for LearningBased Visual Navigation Using HamiltonJacobi Reachability
In Bansal et al. (2019), a novel visual navigation framework that combin...
read it

A Neural Network for Detailed Human Depth Estimation from a Single Image
This paper presents a neural network to estimate a detailed depth map of...
read it

Signed Input Regularization
Overparameterized deep models usually overfit to a given training dist...
read it

Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Classification
This paper tackles a 2D architecture vectorization problem, whose task i...
read it

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
In this paper, we study the oneshot and lifelong versions of the Target...
read it

ConvMPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
This paper proposes a novel message passing neural (MPN) architecture Co...
read it

Mask2Lesion: MaskConstrained Adversarial Skin Lesion Image Synthesis
Skin lesion segmentation is a vital task in skin cancer diagnosis and fu...
read it

Generalized Octave Convolutions for Learned MultiFrequency Image Compression
Learned image compression has recently shown the potential to outperform...
read it

Illuminationbased Transformations Improve Skin Lesion Segmentation in Dermoscopic Images
The semantic segmentation of skin lesions is an important and common ini...
read it

Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong learning is challenging for deep neural networks due to their s...
read it

BANet: Dense Bundle Adjustment Network
This paper introduces a neural network to solve the structurefrommotio...
read it

The OMGEmpathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
Processing human affective behavior is important for developing intellig...
read it

Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
This paper proposes a novel heterogeneous grid convolution that builds a...
read it

Random Tessellation Forests
Space partitioning methods such as random forests and the Mondrian proce...
read it

MCMI: MultiCycle Image Translation with Mutual Information Constraints
We present a mutual informationbased framework for unsupervised imaget...
read it

CloudNet+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function
Cloud Segmentation is one of the fundamental steps in optical remote sen...
read it

LayoutVAE: Stochastic Scene Layout Generation from a Label Set
Recently there is an increasing interest in scene generation within the ...
read it

Video Moment Localization using Object Evidence and Reverse Captioning
We address the problem of languagebased temporal localization of moment...
read it

PlaneNet: Piecewise Planar Reconstruction from a Single RGB Image
This paper proposes a deep neural network (DNN) for piecewise planar de...
read it

Combo Loss: Handling Input and Output Imbalance in MultiOrgan Segmentation
Simultaneous segmentation of multiple organs from different medical imag...
read it

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
More and more AI services are provided through APIs on cloud where predi...
read it

Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction
There is a growing recognition that artists use valuable ways to underst...
read it

Floorplan Priors for Joint Camera Pose and Room Layout Estimation
We present a novel approach to reconstruct large or featureless scenes. ...
read it

Endtoend Learning of Action Detection from Frame Glimpses in Videos
In this work we introduce a fully endtoend approach for action detecti...
read it

Learning to Learn from Noisy Web Videos
Understanding the simultaneously very diverse and intricately finegrain...
read it

Learning to Represent Programs with Graphs
Learning tasks on source code (i.e., formal languages) have been conside...
read it

Multilevel Residual Networks from Dynamical Systems View
Deep residual networks (ResNets) and their variants are widely used in m...
read it

Display advertising: Estimating conversion probability efficiently
The goal of online display advertising is to entice users to "convert" (...
read it

Can you tell a face from a HEVC bitstream?
Image and video analytics are being increasingly used on a massive scale...
read it

LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Semantic segmentation requires a detailed labeling of image pixels by ob...
read it

Hierarchical Label Inference for Video Classification
Videos are a rich source of highdimensional structured data, with a wid...
read it

Learning Person Trajectory Representations for Team Activity Analysis
Activity analysis in which multiple people interact across a large space...
read it

Generic Tubelet Proposals for Action Localization
We develop a novel framework for action localization in videos. We propo...
read it

Load Disaggregation Based on Aided Linear Integer Programming
Load disaggregation based on aided linear integer programming (ALIP) is ...
read it

Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
In the paper, we study the stochastic alternating direction method of mu...
read it

Classifier comparison using precision
New proposed models are often compared to stateoftheart using statist...
read it

Medical image denoising using convolutional denoising autoencoders
Image denoising is an important preprocessing step in medical image ana...
read it

RIDI: Robust IMU Double Integration
This paper proposes a novel datadriven approach for inertial navigation...
read it

Randomized block proximal damped Newton method for composite selfconcordant minimization
In this paper we consider the composite selfconcordant (CSC) minimizati...
read it

The Effect of Heteroscedasticity on Regression Trees
Regression trees are becoming increasingly popular as omnibus predicting...
read it

Joint Hand Detection and Rotation Estimation by Using CNN
Hand detection is essential for many hand related tasks, e.g. parsing ha...
read it

Recalling Holistic Information for Semantic Segmentation
Semantic segmentation requires a detailed labeling of image pixels by ob...
read it

Generalized Conjugate Gradient Methods for ℓ_1 Regularized Convex Quadratic Programming with Finite Convergence
The conjugate gradient (CG) method is an efficient iterative method for ...
read it

Sparse Recovery via Partial Regularization: Models, Theory and Algorithms
In the context of sparse recovery, it is known that most of existing reg...
read it

Scalable Compression of Deep Neural Networks
Deep neural networks generally involve some layers with mil lions of pa...
read it

Optimization over Sparse Symmetric Sets via a Nonmonotone Projected Gradient Method
We consider the problem of minimizing a Lipschitz differentiable functio...
read it
Simon Fraser University
7 km2 Burnaby campus on Burnaby Mountain, located 20 km from downtown Vancouver, was established in 1965 and comprises more than 30,000 students and approximately 950 faculty members.