77 citations · 135 across the 26 of their papers we have counts for
12 papers · 1 filter
Concept Activation Vectors for Generating User-Defined 3D Shapes
Stefan Druc, Aditya Balu, Peter Wooldridge +2
We explore the interpretability of 3D geometric deep learning models in the context of Computer-Aided Design (CAD). The field of parametric CAD can be limited by the difficulty of…
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment
Homagni Saha, Fateme Fotouhif, Qisai Liu +1
In this paper we propose a new framework - MoViLan (Modular Vision and Language) for execution of visually grounded natural language instructions for day to day indoor household ta…
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
Luis G Riera, Matthew E. Carroll, Zhisheng Zhang +8
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop…
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras
Homagni Saha, Sin Yong Tan, Ali Saffari +3
Reliable detection of human occupancy in indoor environments is critical for various energy efficiency, security, and safety applications. We consider this challenge of occupancy d…
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping
Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh +2
Deep learning techniques have been successfully deployed for automating plant stress identification and quantification. In recent years, there is a growing push towards training mo…
How useful is Active Learning for Image-based Plant Phenotyping?
Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani +5
Deep learning models have been successfully deployed for a diverse array of image-based plant phenotyping applications including disease detection and classification. However, succ…