13 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng +2
Cost-effective depth and infrared sensors as alternatives to usual RGB sensors are now a reality, and have some advantages over RGB in domains like autonomous navigation and remote…
Model Compression Using Optimal Transport
Suhas Lohit, Michael Jones
Model compression methods are important to allow for easier deployment of deep learning models in compute, memory and energy-constrained environments such as mobile phones. Knowled…
Multi-head Knowledge Distillation for Model Compression
Huan Wang, Suhas Lohit, Michael Jones +1
Several methods of knowledge distillation have been developed for neural network compression. While they all use the KL divergence loss to align the soft outputs of the student mod…
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
Esra Ataer-Cansizoglu, Michael Jones, Ziming Zhang +1
Face super-resolution methods usually aim at producing visually appealing results rather than preserving distinctive features for further face identification. In this work, we prop…