Joseph W. Durham

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 12 citations into it
• Control and Systems Engineering — 7 citations into it

Whom Joseph W. Durham trusts overall

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

1. David Silver

Papers from Joseph W. Durham's perspective

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

1. ImageNet Large Scale Visual Recognition Challenge
2. Going deeper with convolutions
3. Microsoft COCO: Common Objects in Context
4. Pruning Techniques for the Increasing Cost Tree Search for Optimal Multi-agent Pathfinding (Symposium on Combinatorial Search)
5. Cooperative Pathfinding (Artificial Intelligence and Interactive Digital Entertainment Conference)
6. VQA: Visual Question Answering
7. Edge Boxes: Locating Object Proposals from Edges
8. KinectFusion: Real-time dense surface mapping and tracking
9. Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks (Adaptive Agents and Multi-Agent Systems)
10. Trajectory Planning for Quadrotor Swarms (IEEE Transactions on robotics)

Their papers

• Lifelong Multi-Agent Path Finding in Large-Scale Warehouses (2020) — 339 citations
• The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research (2016) — 83 citations