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Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco
Image-Text matching (ITM) is a common task for evaluating the quality of Vision and
Language (VL) models. However, existing ITM benchmarks have a significant limitation …
Language (VL) models. However, existing ITM benchmarks have a significant limitation …
The perpetual work life of crowdworkers: How tooling practices increase fragmentation in crowdwork
Crowdworkers regularly support their work with scripts, extensions, and software to enhance
their productivity. Despite their evident significance, little is understood regarding how these …
their productivity. Despite their evident significance, little is understood regarding how these …
Efficient elicitation approaches to estimate collective crowd answers
When crowdsourcing the creation of machine learning datasets, statistical distributions that
capture diverse answers can represent ambiguous data better than a single best answer …
capture diverse answers can represent ambiguous data better than a single best answer …
Find the Bot!: Gamifying Facial Emotion Recognition for Both Human Training and Machine Learning Data Collection
Facial emotion recognition (FER) constitutes an essential social skill for both humans and
machines to interact with others. To this end, computer interfaces serve as valuable tools for …
machines to interact with others. To this end, computer interfaces serve as valuable tools for …
Forecast aggregation via peer prediction
Crowdsourcing enables the solicitation of forecasts on a variety of prediction tasks from
distributed groups of people. How to aggregate the solicited forecasts, which may vary in …
distributed groups of people. How to aggregate the solicited forecasts, which may vary in …
Popup: reconstructing 3D video using particle filtering to aggregate crowd responses
Collecting a sufficient amount of 3D training data for autonomous vehicles to handle rare,
but critical, traffic events (eg, collisions) may take decades of deployment. Abundant video …
but critical, traffic events (eg, collisions) may take decades of deployment. Abundant video …
Eureca: Enhanced understanding of real environments via crowd assistance
Indoor robots hold the promise of automatically handling mundane daily tasks, hel** to
improve access for people with disabilities, and providing on-demand access to remote …
improve access for people with disabilities, and providing on-demand access to remote …
[PDF][PDF] On facilitating human-computer interaction via hybrid intelligence systems
What does the perfect interaction between a human and a computer look like? This question
has driven much work in Human-Computer Interaction (HCI) over the past several decades …
has driven much work in Human-Computer Interaction (HCI) over the past several decades …
Crowdsourcing more effective initializations for single-target trackers through automatic re-querying
In single-target video object tracking, an initial bounding box is drawn around a target object
and propagated through a video. When this bounding box is provided by a careful human …
and propagated through a video. When this bounding box is provided by a careful human …
Explainable modeling of annotations in crowdsourcing
Aggregation models for improving the quality of annotations collected via crowdsourcing
have been widely studied, but far less has been done to explain why annotators make the …
have been widely studied, but far less has been done to explain why annotators make the …