Stephen Gould

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Australian National University

Associate Professor at ANU and Principal Research Scientist at Amazon

Deep Declarative Networks: A New Hope

We introduce a new class of end-to-end learnable models wherein data pro...
09/11/2019 ∙ by Stephen Gould, et al. ∙ 38 ∙ share

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Learning to Find Common Objects Across Image Collections

We address the problem of finding a set of images containing a common, b...
04/29/2019 ∙ by Amirreza Shaban, et al. ∙ 28 ∙ 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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DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares

We propose a surface fitting method for unstructured 3D point clouds. Th...
03/23/2020 ∙ by Yizhak Ben-Shabat, 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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Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization

We address the problem of joint optical flow and camera motion estimatio...
02/26/2020 ∙ by Shihao Jiang, et al. ∙ 3 ∙ share

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Human Action Forecasting by Learning Task Grammars

For effective human-robot interaction, it is important that a robotic as...
09/19/2017 ∙ by Tengda Han, et al. ∙ 0 ∙ share

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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Top-down visual attention mechanisms have been used extensively in image...
07/25/2017 ∙ by Peter Anderson, 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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Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation

Pixel-level annotations are expensive and time consuming to obtain. Henc...
06/06/2017 ∙ by Fatemeh Sadat Saleh, 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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DeepPermNet: Visual Permutation Learning

We present a principled approach to uncover the structure of visual data...
04/10/2017 ∙ by Rodrigo Santa Cruz, et al. ∙ 0 ∙ share

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Generalized Rank Pooling for Activity Recognition

Most popular deep models for action recognition split video sequences in...
04/07/2017 ∙ by Anoop Cherian, et al. ∙ 0 ∙ share

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Action Representation Using Classifier Decision Boundaries

Most popular deep learning based models for action recognition are desig...
04/06/2017 ∙ by Jue Wang, et al. ∙ 0 ∙ share

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Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition

Most successful deep learning algorithms for action recognition extend m...
01/19/2017 ∙ by Anoop Cherian, et al. ∙ 0 ∙ share

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Guided Open Vocabulary Image Captioning with Constrained Beam Search

Existing image captioning models do not generalize well to out-of-domain...
12/02/2016 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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Unsupervised Human Action Detection by Action Matching

We propose a new task of unsupervised action detection by action matchin...
12/02/2016 ∙ by Basura Fernando, et al. ∙ 0 ∙ share

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Self-Supervised Video Representation Learning With Odd-One-Out Networks

We propose a new self-supervised CNN pre-training technique based on a n...
11/21/2016 ∙ by Basura Fernando, et al. ∙ 0 ∙ share

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Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Pixel-level annotations are expensive and time consuming to obtain. Henc...
09/02/2016 ∙ by Fatemehsadat Saleh, et al. ∙ 0 ∙ share

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Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences

Quantitative analysis of the dynamics of tiny cellular and sub-cellular ...
07/23/2015 ∙ by Seyed Hamid Rezatofighi, et al. ∙ 0 ∙ share

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Deep CNN Ensemble with Data Augmentation for Object Detection

We report on the methods used in our recent DeepEnsembleCoco submission ...
06/24/2015 ∙ by Jian Guo, et al. ∙ 0 ∙ share

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SPICE: Semantic Propositional Image Caption Evaluation

There is considerable interest in the task of automatically generating i...
07/29/2016 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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Neural Algebra of Classifiers

The world is fundamentally compositional, so it is natural to think of v...
01/26/2018 ∙ by Rodrigo Santa Cruz, et al. ∙ 0 ∙ share

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

A robot that can carry out a natural-language instruction has been a dre...
11/20/2017 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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Video Representation Learning Using Discriminative Pooling

Popular deep models for action recognition in videos generate independen...
03/26/2018 ∙ by Jue Wang, et al. ∙ 0 ∙ share

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Non-Linear Temporal Subspace Representations for Activity Recognition

Representations that can compactly and effectively capture the temporal ...
03/27/2018 ∙ by Anoop Cherian, et al. ∙ 0 ∙ share

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The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation

Determining the position and orientation of a calibrated camera from a s...
12/04/2018 ∙ by Dylan Campbell, et al. ∙ 0 ∙ share

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A Signal Propagation Perspective for Pruning Neural Networks at Initialization

Network pruning is a promising avenue for compressing deep neural networ...
06/14/2019 ∙ by Namhoon Lee, et al. ∙ 0 ∙ share

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Learning Variations in Human Motion via Mix-and-Match Perturbation

Human motion prediction is a stochastic process: Given an observed seque...
08/02/2019 ∙ by Mohammad Sadegh Aliakbarian, et al. ∙ 0 ∙ share

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Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention

This paper studies the problem of temporal moment localization in a long...
08/20/2019 ∙ by Cristian Rodriguez Opazo, et al. ∙ 0 ∙ share

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Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes

Existing networks directly learn feature representations on 3D point clo...
08/24/2019 ∙ by Sameera Ramasinghe, et al. ∙ 0 ∙ share

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Representation Learning on Unit Ball with 3D Roto-Translational Equivariance

Convolution is an integral operation that defines how the shape of one f...
11/30/2019 ∙ by Sameera Ramasinghe, et al. ∙ 0 ∙ share

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Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior

In practice, conditional variational autoencoders (CVAEs) perform condit...
12/18/2019 ∙ by Sadegh Aliakbarian, et al. ∙ 0 ∙ share

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Learning to Structure an Image with Few Colors

Color and structure are the two pillars that construct an image. Usually...
03/17/2020 ∙ by Yunzhong Hou, et al. ∙ 0 ∙ share

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Stephen Gould

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