LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition

Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis. LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 7778-7787, 2019. [doi]

@inproceedings{WuXJD19,
  title = {LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition},
  author = {Zuxuan Wu and Caiming Xiong and Yu-Gang Jiang and Larry S. Davis},
  year = {2019},
  url = {http://papers.nips.cc/paper/8993-liteeval-a-coarse-to-fine-framework-for-resource-efficient-video-recognition},
  researchr = {https://researchr.org/publication/WuXJD19},
  cites = {0},
  citedby = {0},
  pages = {7778-7787},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}