I am interested in efficient inference methods for computer vision. What makes models stand out to allow fast inference and how push the computational burden towards training time? In particular, I am working on human pose estimation from single images, a challenging structured prediction problem.
and (2013) Quasi-Newton Methods: A New Direction
Journal of Machine Learning Research 14 807-829.|
Conference papers (2):
and (2012) Quasi-Newton Methods: A New Direction
29th International Conference on Machine Learning (ICML 2012), 1-8.
, , , and (2011) Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
In: Advances in Neural Information Processing Systems 24, (Ed) , , , and , Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran Associates, Inc., Red Hook, NY, USA, 765-773.