Simon Fraser University

research

∙ 01/13/2020

Towards Automated Swimming Analytics Using Deep Neural Networks

Methods for creating a system to automate the collection of swimming ana...

Timothy Woinoski, et al. ∙

research

∙ 06/08/2020

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

Graph Neural Networks (GNNs) are emerging machine learning models on gra...

Ziwei Zhang, et al. ∙

research

∙ 08/07/2019

Continuous Graph Flow for Flexible Density Estimation

In this paper, we propose Continuous Graph Flow, a generative continuous...

Zhiwei Deng, et al. ∙

research

∙ 02/22/2019

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

Understanding temporal dynamics has proved to be highly valuable for acc...

Jiaxi Tang, et al. ∙

research

∙ 12/20/2019

Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability

In Bansal et al. (2019), a novel visual navigation framework that combin...

Anjian Li, et al. ∙

research

∙ 05/02/2022

Data-driven emotional body language generation for social robotics

In social robotics, endowing humanoid robots with the ability to generat...

Mina Marmpena, et al. ∙

research

∙ 10/03/2019

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...

Sicong Tang, et al. ∙

research

∙ 03/12/2022

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

Being able to explain the prediction to clinical end-users is a necessit...

Weina Jin, et al. ∙

research

∙ 11/16/2019

Signed Input Regularization

Over-parameterized deep models usually over-fit to a given training dist...

Saeid Asgari Taghanaki, et al. ∙

research

∙ 12/11/2019

Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Classification

This paper tackles a 2D architecture vectorization problem, whose task i...

Nelson Nauata, et al. ∙

research

∙ 11/30/2019

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers

In this paper, we study the one-shot and lifelong versions of the Target...

Ngai Meng Kou, et al. ∙

research

∙ 12/13/2021

Learning Body-Aware 3D Shape Generative Models

The shape of many objects in the built environment is dictated by their ...

Bryce Blinn, et al. ∙

research

∙ 06/11/2022

Communication-Efficient Robust Federated Learning with Noisy Labels

Federated learning (FL) is a promising privacy-preserving machine learni...

Junyi Li, et al. ∙

research

∙ 12/04/2019

Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction

This paper proposes a novel message passing neural (MPN) architecture Co...

Fuyang Zhang, et al. ∙

research

∙ 05/10/2022

Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts

Adapting one's voice to different ambient environments and social intera...

Emma Hughson, et al. ∙

research

∙ 02/16/2022

Guidelines and evaluation for clinical explainable AI on medical image analysis

Explainable artificial intelligence (XAI) is essential for enabling clin...

Weina Jin, et al. ∙

research

∙ 09/13/2021

FedFair: Training Fair Models In Cross-Silo Federated Learning

Building fair machine learning models becomes more and more important. A...

Lingyang Chu, et al. ∙

research

∙ 06/13/2019

Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis

Skin lesion segmentation is a vital task in skin cancer diagnosis and fu...

Kumar Abhishek, et al. ∙

research

∙ 02/24/2020

Generalized Octave Convolutions for Learned Multi-Frequency Image Compression

Learned image compression has recently shown the potential to outperform...

Mohammad Akbari, et al. ∙

research

∙ 03/23/2020

Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images

The semantic segmentation of skin lesions is an important and common ini...

Kumar Abhishek, et al. ∙

research

∙ 07/23/2019

Lifelong GAN: Continual Learning for Conditional Image Generation

Lifelong learning is challenging for deep neural networks due to their s...

Mengyao Zhai, et al. ∙

research

∙ 06/13/2018

BA-Net: Dense Bundle Adjustment Network

This paper introduces a neural network to solve the structure-from-motio...

Chengzhou Tang, et al. ∙

research

∙ 08/30/2019

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Processing human affective behavior is important for developing intellig...

Pablo Barros, et al. ∙

research

∙ 04/22/2021

Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

This paper proposes a novel heterogeneous grid convolution that builds a...

Ryuhei Hamaguchi, et al. ∙

research

∙ 08/18/2021

Structured Outdoor Architecture Reconstruction by Exploration and Classification

This paper presents an explore-and-classify framework for structured arc...

Fuyang Zhang, et al. ∙

research

∙ 06/13/2019

Random Tessellation Forests

Space partitioning methods such as random forests and the Mondrian proce...

Shufei Ge, et al. ∙

research

∙ 07/06/2020

MCMI: Multi-Cycle Image Translation with Mutual Information Constraints

We present a mutual information-based framework for unsupervised image-t...

Xiang Xu, et al. ∙

research

∙ 01/23/2020

Cloud-Net+: 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...

Sorour Mohajerani, et al. ∙

research

∙ 04/07/2022

Q-learning with online random forests

Q-learning is the most fundamental model-free reinforcement learning alg...

Joosung Min, et al. ∙

research

∙ 07/24/2019

LayoutVAE: Stochastic Scene Layout Generation from a Label Set

Recently there is an increasing interest in scene generation within the ...

Akash Abdu Jyothi, et al. ∙

research

∙ 06/18/2020

Video Moment Localization using Object Evidence and Reverse Captioning

We address the problem of language-based temporal localization of moment...

Madhawa Vidanapathirana, et al. ∙

research

∙ 06/30/2021

Shape Completion via IMLE

Shape completion is the problem of completing partial input shapes such ...

Himanshu Arora, et al. ∙

research

∙ 04/17/2018

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

This paper proposes a deep neural network (DNN) for piece-wise planar de...

Chen Liu, et al. ∙

research

∙ 05/08/2018

Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Simultaneous segmentation of multiple organs from different medical imag...

Saeid Asgari Taghanaki, et al. ∙

research

∙ 06/17/2019

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...

Zicun Cong, et al. ∙

research

∙ 05/28/2020

Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction

There is a growing recognition that artists use valuable ways to underst...

Özge Nilay Yalçın, et al. ∙

research

∙ 12/17/2018

Floorplan Priors for Joint Camera Pose and Room Layout Estimation

We present a novel approach to reconstruct large or featureless scenes. ...

Cheng Lin, et al. ∙

research

∙ 09/30/2021

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

In the Vision-and-Language Navigation (VLN) task an embodied agent navig...

Sonia Raychaudhuri, et al. ∙

research

∙ 12/15/2021

Mining Minority-class Examples With Uncertainty Estimates

In the real world, the frequency of occurrence of objects is naturally s...

Gursimran Singh, et al. ∙

research

∙ 11/22/2015

End-to-end Learning of Action Detection from Frame Glimpses in Videos

In this work we introduce a fully end-to-end approach for action detecti...

Serena Yeung, et al. ∙

research

∙ 06/09/2017

Learning to Learn from Noisy Web Videos

Understanding the simultaneously very diverse and intricately fine-grain...

Serena Yeung, et al. ∙

research

∙ 11/01/2017

Learning to Represent Programs with Graphs

Learning tasks on source code (i.e., formal languages) have been conside...

Miltiadis Allamanis, et al. ∙

research

∙ 10/27/2017

Multi-level Residual Networks from Dynamical Systems View

Deep residual networks (ResNets) and their variants are widely used in m...

Bo Chang, et al. ∙

research

∙ 10/24/2017

Display advertising: Estimating conversion probability efficiently

The goal of online display advertising is to entice users to "convert" (...

Abdollah Safari, et al. ∙

research

∙ 09/09/2017

Can you tell a face from a HEVC bitstream?

Image and video analytics are being increasingly used on a massive scale...

Saeed Ranjbar Alvar, et al. ∙

research

∙ 03/29/2017

LabelBank: Revisiting Global Perspectives for Semantic Segmentation

Semantic segmentation requires a detailed labeling of image pixels by ob...

Hexiang Hu, et al. ∙

research

∙ 06/15/2017

Hierarchical Label Inference for Video Classification

Videos are a rich source of high-dimensional structured data, with a wid...

Nelson Nauata, et al. ∙

research

∙ 06/03/2017

Learning Person Trajectory Representations for Team Activity Analysis

Activity analysis in which multiple people interact across a large space...

Nazanin Mehrasa, et al. ∙

research

∙ 05/30/2017

Generic Tubelet Proposals for Action Localization

We develop a novel framework for action localization in videos. We propo...

Jiawei He, et al. ∙

research

∙ 03/24/2016

Load Disaggregation Based on Aided Linear Integer Programming

Load disaggregation based on aided linear integer programming (ALIP) is ...

Md. Zulfiquar Ali Bhotto, et al. ∙

Simon Fraser University

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