Australian National University

∙ Canberra , Australia ∙ 0 followers

The Australian National University is a national research university located in Canberra, the capital of Australia.

Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency

The existing approaches for salient motion segmentation are unable to ex...
09/29/2019 ∙ by Muhammad Faisal, et al. ∙ 22 ∙ share

read it
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene

This work addresses the task of dense 3D reconstruction of a complex dyn...
11/19/2019 ∙ by Suryansh Kumar, et al. ∙ 19 ∙ share

read it
Spectral-GANs for High-Resolution 3D Point-cloud Generation

Point-clouds are a popular choice for vision and graphics tasks due to t...
12/04/2019 ∙ by Sameera Ramasinghe, et al. ∙ 19 ∙ share

read it
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion

Given dense image feature correspondences of a non-rigidly moving object...
02/04/2019 ∙ by Suryansh Kumar, et al. ∙ 18 ∙ share

read it
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

We propose a cost volume based neural network for depth inference from m...
12/18/2019 ∙ by Jiayu Yang, et al. ∙ 18 ∙ share

read it
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation

We present a new approach for a single view, image-based object pose est...
09/30/2019 ∙ by Kartik Gupta, et al. ∙ 16 ∙ share

read it
Local Gradients Smoothing: Defense against localized adversarial attacks

Deep neural networks (DNNs) have shown vulnerability to adversarial atta...
07/03/2018 ∙ by Muzammal Naseer, et al. ∙ 8 ∙ share

read it
A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene

Despite the recent success in per-frame monocular dense depth estimation...
02/11/2019 ∙ by Suryansh Kumar, et al. ∙ 8 ∙ share

read it
Strong Asymptotic Optimality in General Environments

Reinforcement Learning agents are expected to eventually perform well. T...
03/04/2019 ∙ by Michael K. Cohen, et al. ∙ 8 ∙ share

read it
Partially-Supervised Image Captioning

Image captioning models are becoming increasingly successful at describi...
06/15/2018 ∙ by Peter Anderson, et al. ∙ 6 ∙ share

read it
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...
11/29/2018 ∙ by Xibin Song, et al. ∙ 6 ∙ share

read it
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited

A simple prior free factorization algorithmdai2014simple is quite often ...
02/27/2019 ∙ by Suryansh Kumar, et al. ∙ 6 ∙ share

read it
Bringing Blurry Alive at High Frame-Rate with an Event Camera

Event-based cameras can measure intensity changes (called ` events') wit...
03/12/2019 ∙ by Liyuan Pan, et al. ∙ 6 ∙ share

read it
Asymptotically Unambitious Artificial General Intelligence

General intelligence, the ability to solve arbitrary solvable problems, ...
05/29/2019 ∙ by Michael K. Cohen, et al. ∙ 6 ∙ share

read it
Deep Stochastic Attraction and Repulsion Embedding for Image Based Localization

This paper tackles the problem of large-scale image-based localization w...
08/27/2018 ∙ by Liu Liu, et al. ∙ 5 ∙ share

read it
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking

Multi-target multi-camera tracking (MTMCT) systems track targets across ...
11/27/2019 ∙ by Yunzhong Hou, et al. ∙ 5 ∙ share

read it
Deep Underwater Image Enhancement

In an underwater scene, wavelength-dependent light absorption and scatte...
07/10/2018 ∙ by Saeed Anwar, et al. ∙ 4 ∙ share

read it
VIENA2: A Driving Anticipation Dataset

Action anticipation is critical in scenarios where one needs to react be...
10/22/2018 ∙ by Mohammad Sadegh Aliakbarian, et al. ∙ 4 ∙ share

read it
Spatio-Temporal Ranked-Attention Networks for Video Captioning

Generating video descriptions automatically is a challenging task that i...
01/17/2020 ∙ by Anoop Cherian, et al. ∙ 4 ∙ share

read it
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

Person re-identification aims to establish the correct identity correspo...
06/04/2019 ∙ by Guodong Ding, et al. ∙ 3 ∙ share

read it
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics

We propose a neural network architecture, called TransNet, that combines...
07/09/2019 ∙ by Nicholas Collins, et al. ∙ 3 ∙ share

read it
Geometry-aware Deep Network for Single-Image Novel View Synthesis

This paper tackles the problem of novel view synthesis from a single ima...
04/17/2018 ∙ by Miaomiao Liu, et al. ∙ 2 ∙ share

read it
Dissecting Person Re-identification from the Viewpoint of Viewpoint

In person re-identification (re-ID),In person re-identification (re-ID),...
12/05/2018 ∙ by Xiaoxiao Sun, et al. ∙ 2 ∙ share

read it
Simultaneous Stereo Video Deblurring and Scene Flow Estimation

Videos for outdoor scene often show unpleasant blur effects due to the l...
04/11/2017 ∙ by Liyuan Pan, et al. ∙ 1 ∙ share

read it
A Monte Carlo AIXI Approximation

This paper introduces a principled approach for the design of a scalable...
09/04/2009 ∙ by Joel Veness, et al. ∙ 0 ∙ share

read it
Probabilities on Sentences in an Expressive Logic

Automated reasoning about uncertain knowledge has many applications. One...
09/12/2012 ∙ by Marcus Hutter, et al. ∙ 0 ∙ share

read it
A Frequency Domain Neural Network for Fast Image Super-resolution

In this paper, we present a frequency domain neural network for image su...
12/08/2017 ∙ by Junxuan Li, et al. ∙ 0 ∙ share

read it
DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement

Despite the recent progress in image dehazing, several problems remain l...
12/02/2017 ∙ by Chongyi Li, et al. ∙ 0 ∙ share

read it
Let Features Decide for Themselves: Feature Mask Network for Person Re-identification

Person re-identification aims at establishing the identity of a pedestri...
11/20/2017 ∙ by Guodong Ding, et al. ∙ 0 ∙ share

read it
Unified Backpropagation for Multi-Objective Deep Learning

A common practice in most of deep convolutional neural architectures is ...
10/20/2017 ∙ by Arash Shahriari, et al. ∙ 0 ∙ share

read it
Distributed Deep Transfer Learning by Basic Probability Assignment

Transfer learning is a popular practice in deep neural networks, but fin...
10/20/2017 ∙ by Arash Shahriari, et al. ∙ 0 ∙ share

read it
Secrets in Computing Optical Flow by Convolutional Networks

Convolutional neural networks (CNNs) have been widely used over many are...
10/04/2017 ∙ by Junxuan Li, et al. ∙ 0 ∙ share

read it
Soft Correspondences in Multimodal Scene Parsing

Exploiting multiple modalities for semantic scene parsing has been shown...
09/28/2017 ∙ by Sarah Taghavi Namin, et al. ∙ 0 ∙ share

read it
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence

Estimating the 6-DoF pose of a camera from a single image relative to a ...
09/27/2017 ∙ by Dylan Campbell, et al. ∙ 0 ∙ share

read it
Count-Based Exploration in Feature Space for Reinforcement Learning

We introduce a new count-based optimistic exploration algorithm for Rein...
06/25/2017 ∙ by Jarryd Martin, et al. ∙ 0 ∙ share

read it
Universal Reinforcement Learning Algorithms: Survey and Experiments

Many state-of-the-art reinforcement learning (RL) algorithms typically a...
05/30/2017 ∙ by John Aslanides, et al. ∙ 0 ∙ share

read it
Self-Supervised Learning for Stereo Matching with Self-Improving Ability

Exiting deep-learning based dense stereo matching methods often rely on ...
09/04/2017 ∙ by Yiran Zhong, et al. ∙ 0 ∙ share

read it
Scavenger 0.1: A Theorem Prover Based on Conflict Resolution

This paper introduces Scavenger, the first theorem prover for pure first...
04/11/2017 ∙ by Daniyar Itegulov, et al. ∙ 0 ∙ share

read it
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

This paper presents a state-of-the-art model for visual question answeri...
08/09/2017 ∙ by Damien Teney, et al. ∙ 0 ∙ share

read it
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)

Symmetric positive definite (SPD) matrices are useful for capturing seco...
08/05/2017 ∙ by Anoop Cherian, et al. ∙ 0 ∙ share

read it
Human Pose Forecasting via Deep Markov Models

Human pose forecasting is an important problem in computer vision with a...
07/24/2017 ∙ by Sam Toyer, et al. ∙ 0 ∙ share

read it
Non-Linear Subspace Clustering with Learned Low-Rank Kernels

In this paper, we present a kernel subspace clustering method that can h...
07/17/2017 ∙ by Pan Ji, et al. ∙ 0 ∙ share

read it
Application of Advanced Record Linkage Techniques for Complex Population Reconstruction

Record linkage is the process of identifying records that refer to the s...
12/13/2016 ∙ by Peter Christen, et al. ∙ 0 ∙ share

read it
Discriminatively Learned Hierarchical Rank Pooling Networks

In this work, we present novel temporal encoding methods for action and ...
05/30/2017 ∙ by Basura Fernando, et al. ∙ 0 ∙ share

read it
Quadruplet Network with One-Shot Learning for Visual Tracking

As a discriminative method of one-shot learning, Siamese deep network al...
05/19/2017 ∙ by Xingping Dong, et al. ∙ 0 ∙ share

read it
Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion

Non-rigid structure-from-motion (NRSfM) has so far been mostly studied f...
05/14/2017 ∙ by Suryansh Kumar, et al. ∙ 0 ∙ share

read it
Evolution of Neural Networks to Play the Game of Dots-and-Boxes

Dots-and-Boxes is a child's game which remains analytically unsolved. We...
09/28/1998 ∙ by Lex Weaver, et al. ∙ 0 ∙ share

read it
Encouraging LSTMs to Anticipate Actions Very Early

In contrast to the widely studied problem of recognizing an action given...
03/21/2017 ∙ by Mohammad Sadegh Aliakbarian, et al. ∙ 0 ∙ share

read it
Bibliographic Analysis with the Citation Network Topic Model

Bibliographic analysis considers author's research areas, the citation n...
09/22/2016 ∙ by Kar Wai Lim, et al. ∙ 0 ∙ share

read it
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes

The Dirichlet process and its extension, the Pitman-Yor process, are sto...
09/22/2016 ∙ by Kar Wai Lim, et al. ∙ 0 ∙ share

read it

Australian National University

Featured Researchers