Bianca Homberg

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #19,330 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 15 citations into it
• Aerospace Engineering — 13 citations into it; #5,537 of 6,421 by trust here, #2,828 by citations
• Natural Language Processing — 11 citations into it; #5,066 of 5,688 by trust here, #3,687 by citations

Whom Bianca Homberg trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael Kaess
2. Stefanie Tellex
3. Thomas Kollar
4. Arnaud Doucet
5. Matthew R. Walter
6. Mark Joseph Cummins
7. Benjamin Kuipers

Who trusts Bianca Homberg overall

1. Sachithra Hemachandra
2. Matthew R. Walter

Papers from Bianca Homberg's perspective

Ordered by how strongly the researchers Bianca Homberg trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning to Interpret Natural Language Navigation Instructions from Observations
3. Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
4. Context-based vision system for place and object recognition
5. Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions
6. Learning to Parse Natural Language Commands to a Robot Control System
7. The Symbol Grounding Problem
8. Gradient-based learning applied to document recognition
9. Toward understanding natural language directions
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Learning Semantic Maps from Natural Language Descriptions (2013) — 111 citations
• A framework for learning semantic maps from grounded natural language descriptions (2014) — 51 citations