Search Results for author:
Found 7 papers, 2 papers with code
To Find Waldo You Need Contextual Cues: Debiasing Who’s Waldo
We find that the original Who’s Waldo dataset compiled for this task contains a large number of biased samples that are solvable simply by heuristic methods; for instance, in many cases the first name in the sentence corresponds to the largest bounding box, or the sequence of names in the sentence corresponds to an exact left-to-right order in the image.
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
We first introduce two new quantitative measures ICV and IDD to describe domain shifts in terms of consistency of classes within one domain and similarity between two stylistic domains.
Model, Analyze, and Comprehend User Interactions and Various Attributes within a Social Media Platform
In this study, we propose a novel graph-based approach to model and analyze user interactions within a social media platform based on post-comment relationship.
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts
Benchmarks of the multilingual capabilities of text-to-image (T2I) models compare generated images prompted in a test language to an expected image distribution over a concept set.
High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios
First, an absolute code phase is predicted from base station information, and integrated solution of the INS DR and real-time kinematic (RTK) results through an extended Kalman filter (EKF).
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo
We find that the original Who's Waldo dataset compiled for this task contains a large number of biased samples that are solvable simply by heuristic methods; for instance, in many cases the first name in the sentence corresponds to the largest bounding box, or the sequence of names in the sentence corresponds to an exact left-to-right order in the image.
Supporting GNSS Baseband Using Smartphone IMU and Ultra-Tight Integration
A Doppler value is predicted based on an integrated extended Kalman filter (EKF) navigator where the pseudorange-state-based measurements of GNSS and INS are fused.
