3 papers
cs.CV2019
Deep Constrained Dominant Sets for Person Re-identification
Leulseged Tesfaye Alemu, Marcello Pelillo, Mubarak Shah
In this work, we propose an end-to-end constrained clustering scheme to tackle the person re-identification (re-id) problem. Deep neural networks (DNN) have recently proven to be e…
cs.CV2018
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets
Leulseged Tesfaye Alemu, Marcello Pelillo
Aggregating different image features for image retrieval has recently shown its effectiveness. While highly effective, though, the question of how to uplift the impact of the best…
cs.CV2017
Dominant Sets for "Constrained" Image Segmentation
Eyasu Zemene, Leulseged Tesfaye Alemu, Marcello Pelillo
Image segmentation has come a long way since the early days of computer vision, and still remains a challenging task. Modern variations of the classical (purely bottom-up) approach…