no code implementations • 10 Aug 2020 • Juncheng Liu, Steven Mills, Brendan McCane
Our network compresses a voxel grid of any size down to a very small latent space in an autoencoder-like network.
no code implementations • 3 May 2019 • Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
We present a simple effective way of achieving this by learning a generic Mahalanabis distance in a collaborative loss function in an end-to-end fashion with any standard convolutional network as the feature learner.
no code implementations • 21 Mar 2019 • Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
We present a conditional probabilistic framework for collaborative representation of image patches.
no code implementations • 28 Jan 2019 • Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
We present an end-to-end deep network for fine-grained visual categorization called Collaborative Convolutional Network (CoCoNet).
Fine-Grained Visual Categorization Fine-Grained Visual Recognition +1
no code implementations • 21 Dec 2017 • Edward Raff, Jared Sylvester, Steven Mills
The potential lack of fairness in the outputs of machine learning algorithms has recently gained attention both within the research community as well as in society more broadly.
no code implementations • 25 Oct 2017 • Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
This letter introduces the LOOP binary descriptor (local optimal oriented pattern) that encodes rotation invariance into the main formulation itself.
no code implementations • 25 Feb 2016 • Xiping Fu, Brendan McCane, Steven Mills, Michael Albert, Lech Szymanski
Binary codes can be used to speed up nearest neighbor search tasks in large scale data sets as they are efficient for both storage and retrieval.