SRI International
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Pedestrian Detection from Moving Unmanned Ground Vehicles
SRI’s vision-based systems enable safe operations of moving unmanned ground vehicles around stationary and moving people in urban/cluttered environments. Under the Navy Explosive Ordnance Disposal project, SRI has developed a real-time, fused-sensor system that significantly improves stationary and dynamic object detection, pedestrian classification, and tracking capabilities from a moving unmanned ground vehicle (UGV). The system…
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An Evaluation of a First-of-its-kind Hybrid Law Degree Program
There are few published studies investigating the effectiveness of hybrid formats at the program level in graduate legal education. A hybrid Juris Doctorate (J.D.) program launched by a Midwestern institution was the first ABA-accredited law degree program with a substantial online learning component.
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How empowered do multilingual students with disabilities feel to make their own choices?
Students who feel greater self-determination – the attitudes and abilities to act as a causal agent and make independent choices – tend to do better as they transition to life outside of secondary school.
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Striking the Right Balance: Recall Loss for Semantic Segmentation
We propose a hard-class mining loss by reshaping the vanilla cross entropy loss such that it weights the loss for each class dynamically based on instantaneous recall performance.
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Graph Mapper: Efficient Visual Navigation by Scene Graph Generation
We propose a method to train an autonomous agent to learn to accumulate a 3D scene graph representation of its environment by simultaneously learning to navigate through said environment.
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SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
This paper presents a novel approach for the Vision-and-Language Navigation (VLN) task in continuous 3D environments.
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Vision and Language Navigation
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments SRI International has developed a new learning-based approach to enable the mobile robot to resemble human capabilities in semantic understanding. The robot can employ semantic scene structures to reason about the world and pay particular attention to relevant semantic landmarks to develop navigation strategies.…
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June 16, 2022 | Webinar: Building a quantum-safe organization
What organizations can do to begin pr for what may be the largest cybersecurity migration in history. 11:30 am to 1 pm
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A Longitudinal Examination of Alcohol-Related Blackouts as a Predictor of Changes in Learning, Memory, and Executive Function in Adolescents
We examined ARBs as a predictor of persistent changes in the development of learning, memory, and executive function in participants from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study.
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Supporting Students With Significant Cognitive Disabilities and Support Needs as They Transition from High School
Researchers from SRI International and the University of Oklahoma are collaborating to create a new assessment tool to help educators ensure that students with significant cognitive disabilities (or extensive support needs) leave high school with the skills they need to be successful.

