161 citations · 483 across the 28 of their papers we have counts for
6 papers · 1 filter
3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point cloud is a collection of 3D coordinates that are discrete geometric samples of an object's 2D surfaces. Using a low-cost 3D scanner to acquire data means that point clouds ar…
Datasets for Face and Object Detection in Fisheye Images
Jianglin Fu, Ivan V. Bajic, Rodney G. Vaughan
We present two new fisheye image datasets for training face and object detection models: VOC-360 and Wider-360. The fisheye images are created by post-processing regular images col…
FDDB-360: Face Detection in 360-degree Fisheye Images
Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajic +1
360-degree cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors. However, geometric distortions introd…
Wavenilm: A causal neural network for power disaggregation from the complex power signal
Alon Harell, Stephen Makonin, Ivan V. Bajić
Non-intrusive load monitoring (NILM) helps meet energy conservation goals by estimating individual appliance power usage from a single aggregate measurement. Deep neural networks h…
Multi-task learning with compressible features for Collaborative Intelligence
Saeed Ranjbar Alvar, Ivan V. Bajić
A promising way to deploy Artificial Intelligence (AI)-based services on mobile devices is to run a part of the AI model (a deep neural network) on the mobile itself, and the rest…
Deep Frame Prediction for Video Coding
Hyomin Choi, Ivan V. Bajic
We propose a novel frame prediction method using a deep neural network (DNN), with the goal of improving video coding efficiency. The proposed DNN makes use of decoded frames, at b…