858 citations
- The University of AdelaideAU53 papers
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24 papers · 1 filter
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
Qi Wu, Peng Wang, Chunhua Shen +2
The Visual Dialogue task requires an agent to engage in a conversation about an image with a human. It represents an extension of the Visual Question Answering task in that the age…
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Yu Chen, Chunhua Shen, Hao Chen +3
Landmark/pose estimation in single monocular images have received much effort in computer vision due to its important applications. It remains a challenging task when input images…
Semantic Segmentation from Limited Training Data
A. Milan, T. Pham, K. Vijay +22
We present our approach for robotic perception in cluttered scenes that led to winning the recent Amazon Robotics Challenge (ARC) 2017. Next to small objects with shiny and transpa…
On Encoding Temporal Evolution for Real-time Action Prediction
Fahimeh Rezazadegan, Sareh Shirazi, Mahsa Baktashmotlagh +1
Anticipating future actions is a key component of intelligence, specifically when it applies to real-time systems, such as robots or autonomous cars. While recent works have addres…
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
Thanh-Toan Do, Anh Nguyen, Ian Reid
We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple objects and their affordances from RGB images. Our AffordanceNet has two branches: an objec…
Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge
D. Morrison, A. W. Tow, M. McTaggart +19
The Amazon Robotics Challenge enlisted sixteen teams to each design a pick-and-place robot for autonomous warehousing, addressing development in robotic vision and manipulation. Th…