Blog

On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering

Updated
March 6, 2023
We propose DeepMVC – a unified framework which includes many recent methods as instances.

New Visual Intelligence paper accepted to NeurIPS

Updated
September 15, 2022
ProtoVAE explainability paper by Srishti Gautam and co-authors is published to NeurIPS 2022.

Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks

Updated
July 1, 2022
We present a novel pyramid attention and gated fusion method (MultiModNet) for multi-modality land cover mapping in remote sensing.

Principle of Relevant Information for Graph Sparsification

Updated
May 20, 2022
How can we remove the redundant or less-informative edges in a graph without changing its main structural properties?

Using Machine Learning to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

Updated
February 14, 2022
Developing artificial intelligence methods to help pathologists in analysis of whole slide images for cancer treatment and detection.

The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics

Updated
February 1, 2022
Detecting pneumonia using self-explainable methods.

Detection and classification of fish species from acoustic data

Updated
August 12, 2021
Using deep learning to assess fish stocks from acoustic images.

Deep learning and AI in the medical domain

Updated
November 14, 2019
Working towards more efficient tools for diagnosis support and decision support for diseases using deep learning technologies.‍