Ian Reid

is this you? claim profile

∙ 0 followers
The University of Adelaide

Professor of Computer Science at University of Adelaide

JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection

The availability of large-scale video action understanding datasets has ...
06/16/2021 ∙ by Mahsa Ehsanpour, et al. ∙ 0 ∙ share

read it
Unsupervised Scale-consistent Depth Learning from Video

We propose a monocular depth estimator SC-Depth, which requires only unl...
05/25/2021 ∙ by Jia-Wang Bian, et al. ∙ 17 ∙ share

read it
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning

In this paper, we address the problem of training deep neural networks i...
03/21/2021 ∙ by Ragav Sachdeva, et al. ∙ 4 ∙ share

read it
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging

Under mild conditions on the noise level of the measurements, rotation a...
03/15/2021 ∙ by Alvaro Parra, et al. ∙ 0 ∙ share

read it
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment

Deep neural network models are robust to a limited amount of label noise...
03/06/2021 ∙ by Filipe R. Cordeiro, et al. ∙ 18 ∙ share

read it
Noisy Label Learning for Large-scale Medical Image Classification

The classification accuracy of deep learning models depends not only on ...
03/06/2021 ∙ by Fengbei Liu, et al. ∙ 15 ∙ share

read it
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification

The training of deep learning models generally requires a large amount o...
03/05/2021 ∙ by Fengbei Liu, et al. ∙ 9 ∙ share

read it
DF-VO: What Should Be Learnt for Visual Odometry?

Multi-view geometry-based methods dominate the last few decades in monoc...
03/01/2021 ∙ by Huangying Zhan, et al. ∙ 18 ∙ share

read it
Semantics for Robotic Mapping, Perception and Interaction: A Survey

For robots to navigate and interact more richly with the world around th...
01/02/2021 ∙ by Sourav Garg, et al. ∙ 0 ∙ share

read it
MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos

Semantic aware reconstruction is more advantageous than geometric-only r...
12/09/2020 ∙ by Kejie Li, et al. ∙ 0 ∙ share

read it
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels

The efficacy of deep learning depends on large-scale data sets that have...
11/11/2020 ∙ by Ragav Sachdeva, et al. ∙ 6 ∙ share

read it
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition

Visual place recognition needs to be robust against appearance variabili...
11/01/2020 ∙ by Anh-Dzung Doan, et al. ∙ 0 ∙ share

read it
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking

Standardized benchmarks have been crucial in pushing the performance of ...
10/15/2020 ∙ by Patrick Dendorfer, et al. ∙ 4 ∙ share

read it
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?

Performance evaluation is indispensable to the advancement of machine vi...
08/08/2020 ∙ by Hamid Rezatofighi, et al. ∙ 3 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Bayesian Generative Active Deep Learning

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Ian Reid

Featured Co-authors