Australian National University

research

∙ 03/16/2020

Any-Shot Object Detection

Previous work on novel object detection considers zero or few-shot setti...

Shafin Rahman, et al. ∙

research

∙ 12/24/2021

Gaussian Process Bandits with Aggregated Feedback

We consider the continuum-armed bandits problem, under a novel setting o...

Mengyan Zhang, et al. ∙

research

∙ 09/29/2019

Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency

The existing approaches for salient motion segmentation are unable to ex...

Muhammad Faisal, et al. ∙

research

∙ 12/07/2021

Voxelized 3D Feature Aggregation for Multiview Detection

Multi-view detection incorporates multiple camera views to alleviate occ...

Jiahao Ma, et al. ∙

research

∙ 12/04/2019

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

Point-clouds are a popular choice for vision and graphics tasks due to t...

Sameera Ramasinghe, et al. ∙

research

∙ 11/19/2019

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

This work addresses the task of dense 3D reconstruction of a complex dyn...

Suryansh Kumar, et al. ∙

research

∙ 02/04/2019

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

Given dense image feature correspondences of a non-rigidly moving object...

Suryansh Kumar, et al. ∙

research

∙ 12/18/2019

Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

We propose a cost volume based neural network for depth inference from m...

Jiayu Yang, et al. ∙

research

∙ 09/30/2019

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...

Kartik Gupta, et al. ∙

research

∙ 01/19/2020

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

We introduce a novel network, called CO-attention Siamese Network (COSNe...

Xiankai Lu, et al. ∙

research

∙ 08/31/2021

Phy-Q: A Benchmark for Physical Reasoning

Humans are well-versed in reasoning about the behaviors of physical obje...

Cheng Xue, et al. ∙

research

∙ 05/25/2020

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Training deep reinforcement learning agents on environments with multipl...

Jaskirat Singh, et al. ∙

research

∙ 11/25/2020

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

Generation of stroke-based non-photorealistic imagery, is an important p...

Jaskirat Singh, et al. ∙

research

∙ 05/27/2020

A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews

Despite the recent advances in opinion mining for written reviews, few w...

Edison Marrese-Taylor, et al. ∙

research

∙ 03/12/2021

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion

Given the prominence of current 3D sensors, a fine-grained analysis on t...

Shi Qiu, et al. ∙

research

∙ 10/11/2021

TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency

The explanation for deep neural networks has drawn extensive attention i...

Lin Cheng, et al. ∙

research

∙ 07/28/2020

Universal Approximation with Neural Intensity Point Processes

We propose a class of neural network models that universally approximate...

Alexander Soen, et al. ∙

research

∙ 07/03/2018

Local Gradients Smoothing: Defense against localized adversarial attacks

Deep neural networks (DNNs) have shown vulnerability to adversarial atta...

Muzammal Naseer, et al. ∙

research

∙ 02/11/2019

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

Despite the recent success in per-frame monocular dense depth estimation...

Suryansh Kumar, et al. ∙

research

∙ 03/04/2019

Strong Asymptotic Optimality in General Environments

Reinforcement Learning agents are expected to eventually perform well. T...

Michael K. Cohen, et al. ∙

research

∙ 02/09/2020

Face Hallucination with Finishing Touches

Obtaining a high-quality frontal face image from a low-resolution (LR) n...

Yang Zhang, et al. ∙

research

∙ 03/18/2020

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization

Weakly Supervised Object Localization (WSOL) methods have become increas...

Amir Rahimi, et al. ∙

research

∙ 12/22/2021

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning

Mixed communities of organisms are found in many environments (from the ...

Hansheng Xue, et al. ∙

research

∙ 07/16/2020

Semi-Siamese Training for Shallow Face Learning

Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...

Hang Du, et al. ∙

research

∙ 01/10/2022

NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery

The use of deep learning for water extraction requires precise pixel-lev...

Ming Lu, et al. ∙

research

∙ 06/15/2018

Partially-Supervised Image Captioning

Image captioning models are becoming increasingly successful at describi...

Peter Anderson, et al. ∙

research

∙ 11/29/2018

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

Autonomous driving has attracted remarkable attention from both industry...

Xibin Song, et al. ∙

research

∙ 02/27/2019

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

A simple prior free factorization algorithmdai2014simple is quite often ...

Suryansh Kumar, et al. ∙

research

∙ 03/12/2019

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

Event-based cameras can measure intensity changes (called ` events') wit...

Liyuan Pan, et al. ∙

research

∙ 05/29/2019

Asymptotically Unambitious Artificial General Intelligence

General intelligence, the ability to solve arbitrary solvable problems, ...

Michael K. Cohen, et al. ∙

research

∙ 04/01/2022

Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis

This paper studies the problem of view synthesis with certain amount of ...

Qi Zhang, et al. ∙

research

∙ 08/27/2018

Deep Stochastic Attraction and Repulsion Embedding for Image Based Localization

This paper tackles the problem of large-scale image-based localization w...

Liu Liu, et al. ∙

research

∙ 11/27/2019

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

Multi-target multi-camera tracking (MTMCT) systems track targets across ...

Yunzhong Hou, et al. ∙

research

∙ 12/01/2020

Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration

The dual-pixel (DP) hardware works by splitting each pixel in half and c...

Liyuan Pan, et al. ∙

research

∙ 05/27/2021

Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding

Single-image super-resolution (SR) and multi-frame SR are two ways to su...

Wenjia Niu, et al. ∙

research

∙ 07/10/2018

Deep Underwater Image Enhancement

In an underwater scene, wavelength-dependent light absorption and scatte...

Saeed Anwar, et al. ∙

research

∙ 10/22/2018

VIENA2: A Driving Anticipation Dataset

Action anticipation is critical in scenarios where one needs to react be...

Mohammad Sadegh Aliakbarian, et al. ∙

research

∙ 01/17/2020

Spatio-Temporal Ranked-Attention Networks for Video Captioning

Generating video descriptions automatically is a challenging task that i...

Anoop Cherian, et al. ∙

research

∙ 07/06/2020

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...

Mahsa Ehsanpour, et al. ∙

research

∙ 11/30/2021

Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation

To obtain 3D annotations, we are restricted to controlled environments o...

Samira Kaviani, et al. ∙

research

∙ 06/04/2019

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

Person re-identification aims to establish the correct identity correspo...

Guodong Ding, et al. ∙

research

∙ 07/09/2019

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

We propose a neural network architecture, called TransNet, that combines...

Nicholas Collins, et al. ∙

research

∙ 06/26/2020

PAC-Bayesian Bound for the Conditional Value at Risk

Conditional Value at Risk (CVaR) is a family of "coherent risk measures"...

Zakaria Mhammedi, et al. ∙

research

∙ 08/25/2021

Blind Image Decomposition

We present and study a novel task named Blind Image Decomposition (BID),...

Junlin Han, et al. ∙

research

∙ 04/17/2018

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

This paper tackles the problem of novel view synthesis from a single ima...

Miaomiao Liu, et al. ∙

research

∙ 12/05/2018

Dissecting Person Re-identification from the Viewpoint of Viewpoint

In person re-identification (re-ID),In person re-identification (re-ID),...

Xiaoxiao Sun, et al. ∙

research

∙ 04/15/2020

Mosaic Super-resolution via Sequential Feature Pyramid Networks

Advances in the design of multi-spectral cameras have led to great inter...

Mehrdad Shoeiby, et al. ∙

research

∙ 05/08/2020

Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching

Cross-view geo-localization is the problem of estimating the position an...

Yujiao Shi, et al. ∙

research

∙ 05/31/2022

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

We present a simple method, CropMix, for the purpose of producing a rich...

Junlin Han, et al. ∙

research

∙ 04/11/2017

Simultaneous Stereo Video Deblurring and Scene Flow Estimation

Videos for outdoor scene often show unpleasant blur effects due to the l...

Liyuan Pan, et al. ∙

Australian National University

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