activity
20162022
most citedActive Object Localization in Visual Situations

6 citations · 9 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2022★ 1 cited

Human in the loop approaches in multi-modal conversational task guidance system development

Ramesh Manuvinakurike, Sovan Biswas, Giuseppe Raffa +6

Development of task guidance systems for aiding humans in a situated task remains a challenging problem. The role of search (information retrieval) and conversational systems for t…

cs.CV2022

Distill and Collect for Semi-Supervised Temporal Action Segmentation

Sovan Biswas, Anthony Rhodes, Ramesh Manuvinakurike +2

Recent temporal action segmentation approaches need frame annotations during training to be effective. These annotations are very expensive and time-consuming to obtain. This limit…

cs.CV2020

High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections

Anthony D. Rhodes, Manan Goel

We provide a high fidelity deep learning algorithm (HyperSeg) for interactive video segmentation tasks using a convolutional network with context-aware skip connections, and compre…

cs.LG2020

Regularized L21-Based Semi-NonNegative Matrix Factorization

Anthony D. Rhodes, Bin Jiang

We present a general-purpose data compression algorithm, Regularized L21 Semi-NonNegative Matrix Factorization (L21 SNF). L21 SNF provides robust, parts-based compression applicabl…

cs.AI2019

Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata

Anthony D. Rhodes

We apply two evolutionary search algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) to the design of Cellular Automata (CA) that can perform computational t…

cs.AI2019

Search Algorithms for Mastermind

Anthony D. Rhodes

his paper presents two novel approaches to solving the classic board game mastermind, including a variant of simulated annealing (SA) and a technique we term maximum expected reduc…