32 citations · 54 across the 9 of their papers we have counts for
24 papers
Latent-space scalability for multi-task collaborative intelligence
Hyomin Choi, Ivan V. Bajic
We investigate latent-space scalability for multi-task collaborative intelligence, where one of the tasks is object detection and the other is input reconstruction. In our proposed…
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
Robert A. Cohen, Hyomin Choi, Ivan V. Bajić
In collaborative intelligence applications, part of a deep neural network (DNN) is deployed on a lightweight device such as a mobile phone or edge device, and the remaining portion…
Lightweight compression of neural network feature tensors for collaborative intelligence
Robert A. Cohen, Hyomin Choi, Ivan V. Bajić
In collaborative intelligence applications, part of a deep neural network (DNN) is deployed on a relatively low-complexity device such as a mobile phone or edge device, and the rem…
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment
Chinthaka Dinesh, Gene Cheung, Ivan Bajic
3D point cloud (PC) -- a collection of discrete geometric samples of a physical object's surface -- is typically large in size, which entails expensive subsequent operations like v…
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
Richard Jones, Christoph Klemenjak, Stephen Makonin +1
Non-Intrusive Load Monitoring (NILM) is a field of research focused on segregating constituent electrical loads in a system based only on their aggregated signal. Significant compu…
Affine Transformation-Based Deep Frame Prediction
Hyomin Choi, Ivan V. Bajić
We propose a neural network model to estimate the current frame from two reference frames, using affine transformation and adaptive spatially-varying filters. The estimated affine…