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papers

Publications (77)

cs.CV2018

MatchBench: An Evaluation of Feature Matchers

JiaWang Bian, Ruihan Yang, Yun Liu +4

cs.CV2018

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes

Trung Pham, Thanh-Toan Do, Niko Sünderhauf +1

cs.CV2018

Diagnostics in Semantic Segmentation

Vladimir Nekrasov, Chunhua Shen, Ian Reid

cs.CV2017

Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking

Laura Leal-Taixé, Anton Milan, Konrad Schindler +3

cs.CV2018

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

Thanh-Toan Do, Anh Nguyen, Ian Reid

cs.RO2017

Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

Cesar Cadena, Luca Carlone, Henry Carrillo +5

cs.CV2018

Light-Weight RefineNet for Real-Time Semantic Segmentation

Vladimir Nekrasov, Chunhua Shen, Ian Reid

cs.CV2015

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Fayao Liu, Chunhua Shen, Guosheng Lin +1

cs.CV2018

Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors

Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg +2

cs.CV2018

Scalable Deep $k$-Subspace Clustering

Tong Zhang, Pan Ji, Mehrtash Harandi +2

cs.CV2017

Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation

Tong Shen, Guosheng Lin, Chunhua Shen +1

cs.CV2019

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

Qingsen Yan, Dong Gong, Qinfeng Shi +4

cs.CV2017

Deep Learning Features at Scale for Visual Place Recognition

Zetao Chen, Adam Jacobson, Niko Sunderhauf +5

cs.CV2017

"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views

Pan Ji, Hongdong Li, Yuchao Dai +1

cs.CV2019

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

Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak +3

cs.CV2018

Binary Constrained Deep Hashing Network for Image Retrieval without Manual Annotation

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan +4

cs.CV2016

Attend in groups: a weakly-supervised deep learning framework for learning from web data

Bohan Zhuang, Lingqiao Liu, Yao Li +2

cs.CV2015

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Laura Leal-Taixé, Anton Milan, Ian Reid +2

cs.CV2018

Visual Question Answering with Memory-Augmented Networks

Chao Ma, Chunhua Shen, Anthony Dick +4

cs.CV2019

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

Anh Nguyen, Thanh-Toan Do, Ian Reid +2

cs.CV2017

Joint Learning of Set Cardinality and State Distribution

S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi +2

cs.CV2018

Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image

Thanh-Toan Do, Ming Cai, Trung Pham +1

cs.CV2019

Adaptive Low-Rank Kernel Subspace Clustering

Pan Ji, Ian Reid, Ravi Garg +2

cs.CV2019

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

Thanh-Toan Do, Toan Tran, Ian Reid +3

cs.CV2018

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera +3

cs.CV2018

Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction

Chamara Saroj Weerasekera, Ravi Garg, Yasir Latif +1

cs.CV2016

Efficient piecewise training of deep structured models for semantic segmentation

Guosheng Lin, Chunhua Shen, Anton van dan Hengel +1

cs.CV2019

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

Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín +3

cs.RO2018

Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks

Yasir Latif, Ravi Garg, Michael Milford +1

cs.CV2017

Care about you: towards large-scale human-centric visual relationship detection

Bohan Zhuang, Qi Wu, Chunhua Shen +2

cs.CV2017

Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation

Tong Shen, Guosheng Lin, Lingqiao Liu +2

cs.CV2016

From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

Dong Gong, Jie Yang, Lingqiao Liu +5

cs.CV2018

Multi-modal Cycle-consistent Generalized Zero-Shot Learning

Rafael Felix, B. G. Vijay Kumar, Ian Reid +1

cs.CV2019

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

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento +2

cs.CV2016

MOT16: A Benchmark for Multi-Object Tracking

Anton Milan, Laura Leal-Taixe, Ian Reid +2

cs.CV2018

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

Bohan Zhuang, Chunhua Shen, Mingkui Tan +2

cs.CV2018

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks

S. Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh +4

cs.CV2017

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

Qi Wu, Peng Wang, Chunhua Shen +2

cs.CV2018

Bayesian Semantic Instance Segmentation in Open Set World

Trung Pham, Vijay Kumar B G, Thanh-Toan Do +2

cs.CV2016

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Ravi Garg, Vijay Kumar BG, Gustavo Carneiro +1

cs.CV2016

Non-linear Dimensionality Regularizer for Solving Inverse Problems

Ravi Garg, Anders Eriksson, Ian Reid

cs.RO2018

Structure Aware SLAM using Quadrics and Planes

Mehdi Hosseinzadeh, Yasir Latif, Trung Pham +2

cs.CV2016

Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions

Vijay Kumar B G, Gustavo Carneiro, Ian Reid

cs.CV2017

Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries

Bohan Zhuang, Qi Wu, Chunhua Shen +2

cs.CV2019

Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI

Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley +2

cs.CV2017

Deep Subspace Clustering Networks

Pan Ji, Tong Zhang, Hongdong Li +2

cs.CV2019

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

Yu Liu, Lingqiao Liu, Hamid Rezatofighi +3

cs.CV2019

Scalable Place Recognition Under Appearance Change for Autonomous Driving

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin +3

cs.CV2019

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

Patrick Dendorfer, Hamid Rezatofighi, Anton Milan +6

cs.RO2017

Meaningful Maps With Object-Oriented Semantic Mapping

Niko Sünderhauf, Trung T. Pham, Yasir Latif +2

cs.CV2016

Fast Training of Triplet-based Deep Binary Embedding Networks

Bohan Zhuang, Guosheng Lin, Chunhua Shen +1

cs.CV2019

Architecture Search of Dynamic Cells for Semantic Video Segmentation

Vladimir Nekrasov, Hao Chen, Chunhua Shen +1

cs.CV2017

DeepSetNet: Predicting Sets with Deep Neural Networks

S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan +3

cs.CV2019

Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette

Kejie Li, Ravi Garg, Ming Cai +1

cs.LG2019

Bayesian Generative Active Deep Learning

Toan Tran, Thanh-Toan Do, Ian Reid +1

cs.CV2019

Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations

Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek +3

cs.CV2019

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

Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg +1

cs.CV2019

Multi-modal Ensemble Classification for Generalized Zero Shot Learning

Rafael Felix, Michele Sasdelli, Ian Reid +1

cs.CV2018

Object Captioning and Retrieval with Natural Language

Anh Nguyen, Thanh-Toan Do, Ian Reid +2

cs.CV2016

Online Multi-Target Tracking Using Recurrent Neural Networks

Anton Milan, Seyed Hamid Rezatofighi, Anthony Dick +2

cs.CV2017

A Bayesian Data Augmentation Approach for Learning Deep Models

Toan Tran, Trung Pham, Gustavo Carneiro +2

cs.RO2019

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

Akansel Cosgun, Thomas Rowntree, Ian Reid +1

cs.CV2018

Training Compact Neural Networks with Binary Weights and Low Precision Activations

Bohan Zhuang, Chunhua Shen, Ian Reid

cs.CV2017

Exploring Context with Deep Structured models for Semantic Segmentation

Guosheng Lin, Chunhua Shen, Anton van den Hengel +1

cs.CV2016

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Guosheng Lin, Anton Milan, Chunhua Shen +1

cs.CV2019

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

Jie Li, Yu Liu, Dong Gong +4

cs.RO2017

A Branch-and-Bound Algorithm for Checkerboard Extraction in Camera-Laser Calibration

Alireza Khosravian, Tat-Jun Chin, Ian Reid

cs.CV2018

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Peter Anderson, Qi Wu, Damien Teney +6

cs.CV2015

Deeply Learning the Messages in Message Passing Inference

Guosheng Lin, Chunhua Shen, Ian Reid +1

cs.CV2013

Online Unsupervised Feature Learning for Visual Tracking

Fayao Liu, Chunhua Shen, Ian Reid +1

cs.CV2017

Smart Mining for Deep Metric Learning

Ben Harwood, Vijay Kumar B G, Gustavo Carneiro +2

cs.CV2019

Training Medical Image Analysis Systems like Radiologists

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento +2

cs.CV2019

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

Vladimir Nekrasov, Hao Chen, Chunhua Shen +1

cs.CV2016

Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification

ZongYuan Ge, Chris McCool, Conrad Sanderson +4

cs.CV2017

Towards Context-aware Interaction Recognition

Bohan Zhuang, Lingqiao Liu, Chunhua Shen +1

cs.CV2018

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

Zhibin Liao, Tom Drummond, Ian Reid +1

cs.RO2019

Real-Time Monocular Object-Model Aware Sparse SLAM

Mehdi Hosseinzadeh, Kejie Li, Yasir Latif +1