IBM Research - Australia

🇦🇺 AU

Papers

6

Total Citations

383

H-Index

5

Researchers

5

About

No biography available yet.

Research Focus

Computer science6 · 383 citations
Artificial intelligence6 · 383 citations
Computer vision2 · 324 citations
GRASP2 · 324 citations
Artificial neural network2 · 324 citations
Convolutional neural network2 · 324 citations
Convolution (computer science)2 · 324 citations
Algorithm1 · 167 citations
Computer engineering1 · 167 citations
Computation1 · 167 citations

Key Achievements

5
H-Index
6
Papers
383
Total Citations
5
Faculty & Researchers
🏆 Most Cited Paper
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices
167 citations · 2018
📊 Avg Citations/Paper: 64
📈 Most Prolific Year: 2018 (2)
🔬 Research Focus: Computer science, Artificial intelligence, Computer vision, GRASP, Artificial neural network, Convolutional neural network

Top Papers

  1. 1
    GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices
    167 citations · 2018
  2. 2
    RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests
    157 citations · 2017
  3. 3
    Evaluating Rehabilitation Progress Using Motion Features Identified by Machine Learning
    28 citations · 2020
  4. 4
    Conversational Bootstrapping and Other Tricks of a Concierge Robot
    15 citations · 2017
  5. 5
    Input and Output Constraints in Iterative Learning Control Design for Robotic Manipulators
    11 citations · 2018
  6. 6
    Evaluating rehabilitation progress using motion features identified by machine learning
    5 citations · 2020

Faculty & Researchers

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