157 citations · 164 across the 7 of their papers we have counts for
7 papers
Learning to Explore by Reinforcement over High-Level Options
Liu Juncheng, McCane Brendan, Mills Steven
Autonomous 3D environment exploration is a fundamental task for various applications such as navigation. The goal of exploration is to investigate a new environment and build its o…
RocNet: Recursive Octree Network for Efficient 3D Deep Representation
Juncheng Liu, Steven Mills, Brendan McCane
We introduce a deep recursive octree network for the compression of 3D voxel data. Our network compresses a voxel grid of any size down to a very small latent space in an autoencod…
Distance Metric Learned Collaborative Representation Classifier
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
Any generic deep machine learning algorithm is essentially a function fitting exercise, where the network tunes its weights and parameters to learn discriminatory features by minim…
PProCRC: Probabilistic Collaboration of Image Patches
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
We present a conditional probabilistic framework for collaborative representation of image patches. It incorporates background compensation and outlier patch suppression into the m…
CoCoNet: A Collaborative Convolutional Network
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
We present an end-to-end deep network for fine-grained visual categorization called Collaborative Convolutional Network (CoCoNet). The network uses a collaborative layer after the…
LOOP Descriptor: Local Optimal Oriented Pattern
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
This letter introduces the LOOP binary descriptor (local optimal oriented pattern) that encodes rotation invariance into the main formulation itself. This makes any post processing…
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing
Xiping Fu, Brendan McCane, Steven Mills +2
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. In this paper, we propose a robust…