13 citations · 33 across the 20 of their papers we have counts for
30 papers
Visual Episodic Memory-based Exploration
Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas +1
In humans, intrinsic motivation is an important mechanism for open-ended cognitive development; in robots, it has been shown to be valuable for exploration. An important aspect of…
LAMP: Leveraging Language Prompts for Multi-person Pose Estimation
Shengnan Hu, Ce Zheng, Zixiang Zhou +2
Human-centric visual understanding is an important desideratum for effective human-robot interaction. In order to navigate crowded public places, social robots must be able to inte…
Malicious or Benign? Towards Effective Content Moderation for Children's Videos
Syed Hammad Ahmed, Muhammad Junaid Khan, H. M. Umer Qaisar +1
Online video platforms receive hundreds of hours of uploads every minute, making manual content moderation impossible. Unfortunately, the most vulnerable consumers of malicious vid…
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings
Ayesha Enayet, Gita Sukthankar
Conflict prediction in communication is integral to the design of virtual agents that support successful teamwork by providing timely assistance. The aim of our research is to anal…
Improving Code Review with GitHub Issue Tracking
Abduljaleel Al-Rubaye, Gita Sukthankar
Software quality is an important problem for technology companies, since it substantially impacts the efficiency, usefulness, and maintainability of the final product; hence, code…
Through a fair looking-glass: mitigating bias in image datasets
Amirarsalan Rajabi, Mehdi Yazdani-Jahromi, Ozlem Ozmen Garibay +1
With the recent growth in computer vision applications, the question of how fair and unbiased they are has yet to be explored. There is abundant evidence that the bias present in t…
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft
Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar
The StarCraft II Multi-Agent Challenge (SMAC) was created to be a challenging benchmark problem for cooperative multi-agent reinforcement learning (MARL). SMAC focuses exclusively…
Predicting Team Performance with Spatial Temporal Graph Convolutional Networks
Shengnan Hu, Gita Sukthankar
This paper presents a new approach for predicting team performance from the behavioral traces of a set of agents. This spatiotemporal forecasting problem is very relevant to sports…
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain
Jack Vice, Gita Sukthankar, Pamela K. Douglas
Optimizing gait stability for legged robots is a difficult problem. Even on level surfaces, effectively traversing across different textures (e.g., carpet) rests on dynamically tun…
Leveraging Transformers for StarCraft Macromanagement Prediction
Muhammad Junaid Khan, Shah Hassan, Gita Sukthankar
Inspired by the recent success of transformers in natural language processing and computer vision applications, we introduce a transformer-based neural architecture for two key Sta…
Do Bots Modify the Workflow of GitHub Teams?
Samaneh Saadat, Natalia Colmenares, Gita Sukthankar
The ever-increasing complexity of modern software engineering projects makes the usage of automated assistants imperative. Bots can be used to complete repetitive tasks during deve…
Analyzing Team Performance with Embeddings from Multiparty Dialogues
Ayesha Enayet, Gita Sukthankar
Good communication is indubitably the foundation of effective teamwork. Over time teams develop their own communication styles and often exhibit entrainment, a conversational pheno…
Leveraging the Variance of Return Sequences for Exploration Policy
Zerong Xi, Gita Sukthankar
This paper introduces a method for constructing an upper bound for exploration policy using either the weighted variance of return sequences or the weighted temporal difference (TD…
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
Ayesha Enayet, Gita Sukthankar
Social coding platforms, such as GitHub, serve as laboratories for studying collaborative problem solving in open source software development; a key feature is their ability to sup…
Scoring Popularity in GitHub
Abduljaleel Al-Rubaye, Gita Sukthankar
Popularity and engagement are the currencies of social media platforms, serving as powerful reinforcement mechanisms to keep users online. Social coding platforms such as GitHub se…
Analyzing the Productivity of GitHub Teams based on Formation Phase Activity
Samaneh Saadat, Olivia B. Newton, Gita Sukthankar +1
Our goal is to understand the characteristics of high-performing teams on GitHub. Towards this end, we collect data from software repositories and evaluate teams by examining diffe…
Explaining Differences in Classes of Discrete Sequences
Samaneh Saadat, Gita Sukthankar
While there are many machine learning methods to classify and cluster sequences, they fail to explain what are the differences in groups of sequences that make them distinguishable…
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks
Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…
Selfie Drone Stick: A Natural Interface for Quadcopter Photography
Saif Alabachi, Gita Sukthankar, Rahul Sukthankar
A physical selfie stick extends the user's reach, enabling the acquisition of personal photos that include more of the background scene. Similarly, a quadcopter can capture photos…
Network Semantic Segmentation with Application to GitHub
Neda Hajiakhoond Bidoki, Gita Sukthankar
In this paper we introduce the concept of network semantic segmentation for social network analysis. We consider the GitHub social coding network which has been a center of attenti…
Customizing Object Detectors for Indoor Robots
Saif Alabachi, Gita Sukthankar, Rahul Sukthankar
Object detection models based on convolutional neural networks (CNNs) demonstrate impressive performance when trained on large-scale labeled datasets. While a generic object detect…
A Cross-Repository Model for Predicting Popularity in GitHub
Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley +1
Social coding platforms, such as GitHub, can serve as natural laboratories for studying the diffusion of innovation through tracking the pattern of code adoption by programmers. Th…
A Communication Protocol for Man-Machine Networks
Neda Hajiakhoond, Gita Sukthankar
One of the most challenging coordination problems in artificial intelligence is to achieve successful collaboration across large-scale heterogeneous systems that include Robots, Ag…
Intelligently Assisting Human-Guided Quadcopter Photography
Saif Alabachi, Gita Sukthankar
Drones are a versatile platform for both amateur and professional photographers, enabling them to capture photos that are impossible to shoot with ground-based cameras. However, wh…