Younghun Cho

Aerospace Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Younghun Cho trusts

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

  1. Paul M. Newman (in Computer Vision and Pattern Recognition)
  2. Ayoung Kim (in Aerospace Engineering)
  3. Mark Joseph Cummins (in Computer Vision and Pattern Recognition)

Papers from Younghun Cho's perspective

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

  1. Are we ready for autonomous driving? The KITTI vision benchmark suite
  2. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
  3. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
  4. Bags of Binary Words for Fast Place Recognition in Image Sequences (IEEE Transactions on robotics)
  5. nuScenes: A Multimodal Dataset for Autonomous Driving
  6. Visual Place Recognition: A Survey
  7. 1 year, 1000 km: The Oxford RobotCar dataset
  8. A multi-sensor fusion system for moving object detection and tracking in urban driving environments (IEEE International Conference on Robotics and Automation)
  9. PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  10. Scan Context: Egocentric Spatial Descriptor for Place Recognition Within 3D Point Cloud Map (IEEE/RJS International Conference on Intelligent RObots and Systems)

Their papers