research
∙
03/23/2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
Multiple Instance learning (MIL) models have been extensively used in pa...
share
research
∙
06/03/2022
Additive MIL: Intrinsic Interpretability for Pathology
Multiple Instance Learning (MIL) has been widely applied in pathology to...
research
∙
04/11/2022
Rethinking Machine Learning Model Evaluation in Pathology
Machine Learning has been applied to pathology images in research and cl...
research
∙
12/11/2019
CineFilter: Unsupervised Filtering for Real Time Autonomous Camera Systems
Learning to mimic the smooth and deliberate camera movement of a human c...
research
∙
10/02/2019
Embodied Language Grounding with Implicit 3D Visual Feature Representations
Consider the utterance "the tomato is to the left of the pot." Humans ca...
research
∙
03/17/2018
MergeNet: A Deep Net Architecture for Small Obstacle Discovery
We present here, a novel network architecture called MergeNet for discov...
research
∙
03/17/2018
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Localizing natural language phrases in images is a challenging problem t...
research
∙
05/11/2017
