5 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…
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…
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…