Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images

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Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirely visual approach to coordinate markerless drone swarms based on imitation l ...

Content-based image retrieval aims at substituting traditional indexing based on manual annotation by using automatically-extracted visual indexing features. Novel techniques are needed however to efficiently deal with the semantic gap (i.e. the partial ma ...

Scholarly affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, an ...

Collaborative synchronous writing tools like Google Docs and Etherpad let multiple users edit the same document and see each others edits in near real-time to simplify collaboration and avoid merge-conflicts. These tools are used extensively across many do ...

Finding relevant content is one of the core activities of users interacting with a content repository, be it knowledge workers using an organizational knowledge management system at a workplace or self-regulated learners collaborating in a learning environ ...

With the quick development and popularity of computers, computer-generated signals have drastically invaded into our daily lives. Screen content image is a typical example, since it also includes graphic and textual images as components as compared with na ...

While artificial intelligence is successful in many applications that cover specific domains, for many commonsense problems there is still a large gap with human performance. Automated sentiment analysis is a typical example: while there are techniques tha ...

Point clouds have been gaining importance as a solution to the problem of efficient representation of 3D geometric and visual information. They are commonly represented by large amounts of data, and compression schemes are important for their manipulation ...

In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often res ...

Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images

Chattez avec Graph Search

Learning Vision-based Flight in Drone Swarms by Imitation

Adaptive relevance feedback for large-scale image retrieval

Mapping Affinities in Academic Organizations

Quantifying Collaboration in Synchronous Document Editing

Combining Content Analytics and Activity Tracking to Identify User Interests and Enable Knowledge Discovery

Evaluating Quality of Screen Content Images Via Structural Variation Analysis

Acquiring Broad Commonsense Knowledge for Sentiment Analysis Using Human Computation

Point cloud subjective evaluation methodology based on reconstructed surfaces

Learning Explainable User Sentiment and Preferences for Information Filtering