Ian Reid

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The University of Adelaide

Professor of Computer Science at University of Adelaide

Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos

The state-of-the art solutions for human activity understanding from a v...
07/06/2020 ∙ by Mahsa Ehsanpour, et al. ∙ 4 ∙ share

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Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue

Single-view depth estimation using CNNs trained from unlabelled videos h...
06/04/2020 ∙ by Jia-Wang Bian, et al. ∙ 0 ∙ share

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FroDO: From Detections to 3D Objects

Object-oriented maps are important for scene understanding since they jo...
05/11/2020 ∙ by Kejie Li, et al. ∙ 0 ∙ share

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MOT20: A benchmark for multi object tracking in crowded scenes

Standardized benchmarks are crucial for the majority of computer vision ...
03/19/2020 ∙ by Patrick Dendorfer, et al. ∙ 17 ∙ share

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Real-time Image Smoothing via Iterative Least Squares

Edge-preserving image smoothing is a fundamental procedure for many comp...
03/17/2020 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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3D Gated Recurrent Fusion for Semantic Scene Completion

This paper tackles the problem of data fusion in the semantic scene comp...
02/17/2020 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Hyperspectral image(HSI) classification has been improved with convoluti...
02/11/2020 ∙ by Haokui Zhang, et al. ∙ 0 ∙ share

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Switchable Precision Neural Networks

Instantaneous and on demand accuracy-efficiency trade-off has been recen...
02/07/2020 ∙ by Luis Guerra, et al. ∙ 3 ∙ share

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Automatic Pruning for Quantized Neural Networks

Neural network quantization and pruning are two techniques commonly used...
02/03/2020 ∙ by Luis Guerra, et al. ∙ 4 ∙ share

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Learn to Predict Sets Using Feed-Forward Neural Networks

This paper addresses the task of set prediction using deep feed-forward ...
01/30/2020 ∙ by Hamid Rezatofighi, et al. ∙ 30 ∙ share

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Depth Based Semantic Scene Completion with Position Importance Aware Loss

Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
01/29/2020 ∙ by Yu Liu, et al. ∙ 14 ∙ share

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Learning to generate new indoor scenes

Deep generative models have been used in recent years to learn coherent ...
12/10/2019 ∙ by Pulak Purkait, et al. ∙ 16 ∙ share

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NeuRoRA: Neural Robust Rotation Averaging

Multiple rotation averaging is an essential task for structure from moti...
12/10/2019 ∙ by Pulak Purkait, et al. ∙ 27 ∙ share

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Improved Visual Localization via Graph Smoothing

Vision based localization is the problem of inferring the pose of the ca...
11/07/2019 ∙ by Carlos Lassance, et al. ∙ 0 ∙ share

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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

This paper tackles the problem of video object segmentation. We are spec...
09/28/2019 ∙ by Yu Liu, et al. ∙ 29 ∙ share

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Structured Binary Neural Networks for Image Recognition

We propose methods to train convolutional neural networks (CNNs) with bo...
09/22/2019 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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Visual Odometry Revisited: What Should Be Learnt?

In this work we present a monocular visual odometry (VO) algorithm which...
09/21/2019 ∙ by Huangying Zhan, et al. ∙ 0 ∙ share

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Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Recent work has shown that CNN-based depth and ego-motion estimators can...
08/28/2019 ∙ by Jia-Wang Bian, et al. ∙ 1 ∙ share

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An Evaluation of Feature Matchers forFundamental Matrix Estimation

Matching two images while estimating their relative geometry is a key st...
08/26/2019 ∙ by Jia-Wang Bian, et al. ∙ 12 ∙ share

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In defense of OSVOS

As a milestone for video object segmentation, one-shot video object segm...
08/19/2019 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations

This paper tackles the problem of training a deep convolutional neural n...
08/10/2019 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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Scalable Place Recognition Under Appearance Change for Autonomous Driving

A major challenge in place recognition for autonomous driving is to be r...
08/01/2019 ∙ by Anh-Dzung Doan, et al. ∙ 0 ∙ share

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A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

Image smoothing is a fundamental procedure in applications of both compu...
07/23/2019 ∙ by Wei Liu, et al. ∙ 2 ∙ share

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Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

Predicting the future trajectories of multiple interacting agents in a s...
07/04/2019 ∙ by Vineet Kosaraju, et al. ∙ 3 ∙ share

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CVPR19 Tracking and Detection Challenge: How crowded can it get?

Standardized benchmarks are crucial for the majority of computer vision ...
06/10/2019 ∙ by Patrick Dendorfer, et al. ∙ 8 ∙ share

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Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions

Semantic segmentation and instance level segmentation made substantial p...
06/07/2019 ∙ by Pulak Purkait, et al. ∙ 4 ∙ share

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Practical Robot Learning from Demonstrations using Deep End-to-End Training

Robots need to learn behaviors in intuitive and practical ways for wides...
05/22/2019 ∙ by Akansel Cosgun, et al. ∙ 0 ∙ share

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Bayesian Generative Active Deep Learning

Deep learning models have demonstrated outstanding performance in severa...
04/26/2019 ∙ by Toan Tran, et al. ∙ 0 ∙ share

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Attention-guided Network for Ghost-free High Dynamic Range Imaging

Ghosting artifacts caused by moving objects or misalignments is a key ch...
04/23/2019 ∙ by Qingsen Yan, et al. ∙ 16 ∙ share

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A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

We propose a method that substantially improves the efficiency of deep d...
04/18/2019 ∙ by Thanh-Toan Do, et al. ∙ 44 ∙ share

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Architecture Search of Dynamic Cells for Semantic Video Segmentation

In semantic video segmentation the goal is to acquire consistent dense s...
04/04/2019 ∙ by Vladimir Nekrasov, et al. ∙ 0 ∙ share

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Template-Based Automatic Search of Compact Semantic Segmentation Architectures

Automatic search of neural architectures for various vision and natural ...
04/04/2019 ∙ by Vladimir Nekrasov, et al. ∙ 0 ∙ share

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Training Quantized Network with Auxiliary Gradient Module

In this paper, we seek to tackle two challenges in training low-precisio...
03/27/2019 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation

We propose V2CNet, a new deep learning framework to automatically transl...
03/23/2019 ∙ by Anh Nguyen, et al. ∙ 12 ∙ share

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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

RGB images differentiate from depth images as they carry more details ab...
03/02/2019 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Self-supervised Learning for Single View Depth and Surface Normal Estimation

In this work we present a self-supervised learning framework to simultan...
03/01/2019 ∙ by Huangying Zhan, et al. ∙ 0 ∙ share

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Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Intersection over Union (IoU) is the most popular evaluation metric used...
02/25/2019 ∙ by Hamid Rezatofighi, et al. ∙ 12 ∙ share

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Visual SLAM: Why Bundle Adjust?

Bundle adjustment plays a vital role in feature-based monocular SLAM. In...
02/11/2019 ∙ by Álvaro Parra Bustos, et al. ∙ 0 ∙ share

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Multi-modal Ensemble Classification for Generalized Zero Shot Learning

Generalized zero shot learning (GZSL) is defined by a training process c...
01/15/2019 ∙ by Rafael Felix, et al. ∙ 0 ∙ share

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Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

As the post-processing step for object detection, non-maximum suppressio...
01/12/2019 ∙ by Yu Liu, et al. ∙ 12 ∙ share

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Optimizable Object Reconstruction from a Single View

3D shape reconstruction from a single image is a highly ill-posed proble...
11/29/2018 ∙ by Kejie Li, et al. ∙ 4 ∙ share

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Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

In this paper, we propose to train convolutional neural networks (CNNs) ...
11/22/2018 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation

In this paper, we propose to train a network with both binary weights an...
11/22/2018 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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Practical Visual Localization for Autonomous Driving: Why Not Filter?

A major focus of current research on place recognition is visual localiz...
11/20/2018 ∙ by Anh-Dzung Doan, et al. ∙ 28 ∙ share

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Scalable Deep k-Subspace Clustering

Subspace clustering algorithms are notorious for their scalability issue...
11/02/2018 ∙ by Tong Zhang, et al. ∙ 0 ∙ share

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Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

Automated design of architectures tailored for a specific task at hand i...
10/25/2018 ∙ by Vladimir Nekrasov, et al. ∙ 12 ∙ share

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Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks

In this paper, we introduce a novel methodology for characterising the p...
10/16/2018 ∙ by Zhibin Liao, et al. ∙ 0 ∙ share

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Light-Weight RefineNet for Real-Time Semantic Segmentation

We consider an important task of effective and efficient semantic image ...
10/08/2018 ∙ by Vladimir Nekrasov, et al. ∙ 12 ∙ share

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Diagnostics in Semantic Segmentation

Over the past years, computer vision community has contributed to enormo...
09/27/2018 ∙ by Vladimir Nekrasov, et al. ∙ 10 ∙ share

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Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

We propose a new method for breast cancer screening from DCE-MRI based o...
09/25/2018 ∙ by Gabriel Maicas, et al. ∙ 6 ∙ share

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Ian Reid

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