Australian National University

∙ Canberra , Australia ∙ 0 followers

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

Any-Shot Object Detection

Previous work on novel object detection considers zero or few-shot setti...
03/16/2020 ∙ by Shafin Rahman, et al. ∙ 43 ∙ share

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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

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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

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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

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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

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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

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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

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See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

We introduce a novel network, called CO-attention Siamese Network (COSNe...
01/19/2020 ∙ by Xiankai Lu, et al. ∙ 16 ∙ share

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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

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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

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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

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Face Hallucination with Finishing Touches

Obtaining a high-quality frontal face image from a low-resolution (LR) n...
02/09/2020 ∙ by Yang Zhang, et al. ∙ 8 ∙ share

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In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization

Weakly Supervised Object Localization (WSOL) methods have become increas...
03/18/2020 ∙ by Amir Rahimi, et al. ∙ 8 ∙ share

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Partially-Supervised Image Captioning

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

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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

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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

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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

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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

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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

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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

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Deep Underwater Image Enhancement

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

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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

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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

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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

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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

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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

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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

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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

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Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Segmentation of 3D micro-Computed Tomographic uCT) images of rock sample...
02/13/2020 ∙ by Ying Da Wang, et al. ∙ 1 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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