Bing Zhou

Computer Vision and Pattern Recognition · with Lin · 2015

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

Subfields

Whom Bing Zhou trusts

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

  1. Kristen Grauman (in Computer Vision and Pattern Recognition)

Papers from Bing Zhou's perspective

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

  1. Mean Shift: A Robust Approach Toward Feature Space Analysis
  2. High-Speed Tracking with Kernelized Correlation Filters
  3. View-Invariant Representation and Recognition of Actions
  4. Real-Time Compressive Tracking (European Conference on Computer Vision)
  5. Discovering important people and objects for egocentric video summarization
  6. Visual object tracking using adaptive correlation filters (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
  7. Abnormal crowd behavior detection using social force model (2009 IEEE Conference on Computer Vision and Pattern Recognition)
  8. Video abstraction: A systematic review and classification (TOMCCAP)
  9. Stable multi-target tracking in real-time surveillance video (Computer Vision and Pattern Recognition)
  10. Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates

Their papers