'Action classification' presentation slideshows

Loss-based Learning with Weak Supervision

Loss-based Learning with Weak Supervision. M. Pawan Kumar. Computer Vision Data. Log (Size). ~ 2000. Segmentation. Information. Computer Vision Data. ~ 1 M. Log (Size). Bounding Box. ~ 2000. Segmentation. Information. Computer Vision Data. > 14 M. ~ 1 M. Log (Size). Image-Level.

1.57k views • 142 slides

Retrieving Actions in Group Contexts

Retrieving Actions in Group Contexts. Tian Lan , Yang Wang, Greg Mori, Stephen Robinovitch Simon Fraser University Sept. 11, 2010. Outline. Action Retrieval as Ranking. Contextual Representation of Actions. Results and Future Work. Nursing Home.

410 views • 34 slides

Computer Science Department, Stanford University {bangpeng,aditya86,feifeili}@cs.stanford

Action Classification: An Integration of Randomization and Discrimination in A Dense Feature Space. Bangpeng Yao, Aditya Khosla , and Li Fei-Fei. Computer Science Department, Stanford University {bangpeng,aditya86,feifeili}@cs.stanford.edu. Outline. Action Classification & Intuition

474 views • 33 slides

Computer Science Department, Stanford University {bangpeng,aditya86,feifeili}@cs.stanford

Action Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation. Bangpeng Yao, Aditya Khosla , and Li Fei-Fei. Computer Science Department, Stanford University {bangpeng,aditya86,feifeili}@cs.stanford.edu. Outline.

462 views • 32 slides

Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition

Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition. Liang Wang and David Suter 2007 IEEE. Outline. Introduction Contribution LPP Activity Classification Results. Introduction.

424 views • 29 slides

Learning Structural SVMs with Latent Variables

402 views • 26 slides

400 views • 9 slides