Learning spatial-temporal regularized correlation filters for visual tracking
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
A survey of automatic text summarization: Progress, process and challenges
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …
increased exponentially. This text volume is a precious source of information and knowledge …
[BOOK][B] Big crisis data: social media in disasters and time-critical situations
C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …
emergency response and humanitarian relief organizations that would like to use this …
[HTML][HTML] A survey on opinion summarization techniques for social media
The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …
efficient processing of this extensive information resulted in increasing research interest in …
Temporal information retrieval
The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …
IR approaches, which explain how user behavior, document content and scale vary with …
On the evaluation of machine-generated reports
Large Language Models (LLMs) have enabled new ways to satisfy information needs.
Although great strides have been made in applying them to settings like document ranking …
Although great strides have been made in applying them to settings like document ranking …
[HTML][HTML] Unsupervised update summarization of news events
A long-running event represents a continuous stream of information on a given topic, such
as natural disasters, stock market updates, or even ongoing customer relationship. These …
as natural disasters, stock market updates, or even ongoing customer relationship. These …
Interactive query-assisted summarization via deep reinforcement learning
Interactive summarization is a task that facilitates user-guided exploration of information
within a document set. While one would like to employ state of the art neural models to …
within a document set. While one would like to employ state of the art neural models to …
Pdsum: Prototype-driven continuous summarization of evolving multi-document sets stream
Summarizing text-rich documents has been long studied in the literature, but most of the
existing efforts have been made to summarize a static and predefined multi-document set …
existing efforts have been made to summarize a static and predefined multi-document set …
Automatic generation of timelines for past-web events
Despite significant advances in web archive infrastructures, the problem of exploring the
historical heritage preserved by web archives is yet to be solved. Timeline generation …
historical heritage preserved by web archives is yet to be solved. Timeline generation …