Linking People in Videos with "Their" Names Using Coreference Resolution

No abstract is available for this paper.

• Publication year

  2014

• Venue

  European Conference on Computer Vision

• Publication date

  2014-09-06

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-319-10590-1_7
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Pattern Classification

  2021cited by this paper
• What Are You Talking About? Text-to-Image Coreference

  2014cited by this paper
• Hello, my name is…

  2014cited by this paper
• Knock, knock...

  2014cited by this paper
• A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching

  2013cited by this paper
• Error-Driven Analysis of Challenges in Coreference Resolution

  2013influential reference
• Video Event Understanding Using Natural Language Descriptions

  2013cited by this paper
• Finding Actors and Actions in Movies

  2013influential reference
• Semi-supervised Learning with Constraints for Person Identification in Multimedia Data

  2013cited by this paper
• Translating Video Content to Natural Language Descriptions

  2013cited by this paper
• Models of Semantic Representation with Visual Attributes

  2013cited by this paper
• A Sentence Is Worth a Thousand Pixels

  2013cited by this paper
• BabyTalk: Understanding and Generating Simple Image Descriptions

  2013cited by this paper
• Pattern Classification

  2012cited by this paper
• Improving Video Activity Recognition using Object Recognition and Text Mining

  2012cited by this paper
• Tracking-Learning-Detection

  2012cited by this paper
• “Knock! Knock! Who is it?” probabilistic person identification in TV-series

  2012cited by this paper
• A Joint Model of Language and Perception for Grounded Attribute Learning

  2012cited by this paper
• Collective entity linking in web text: a graph-based method

  2011cited by this paper
• Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task

  2011cited by this paper
• Im2Text: Describing Images Using 1 Million Captioned Photographs

  2011cited by this paper
• Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation

  2011cited by this paper
• Cross-Caption Coreference Resolution for Automatic Image Understanding

  2010cited by this paper
• Every Picture Tells a Story: Generating Sentences from Images

  2010cited by this paper
• Coreference Resolution in a Modular, Entity-Centered Model

  2010influential reference
• ClassCut for Unsupervised Class Segmentation

  2010cited by this paper
• What helps where – and why? Semantic relatedness for knowledge transfer

  2010cited by this paper
• A Discriminative Latent Model of Image Region and Object Tag Correspondence

  2010cited by this paper
• What Helps Where \textendash And Why? Semantic Relatedness for Knowledge Transfer

  2010cited by this paper
• “Who are you?” - Learning person specific classifiers from video

  2009cited by this paper
• Actions in context

  2009cited by this paper
• Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation

  2009cited by this paper
• Learning from ambiguously labeled images

  2009influential reference
• Automatic annotation of human actions in video

  2009cited by this paper
• TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

  2009cited by this paper
• Using Abduction for Video-Text Coreference

  2009cited by this paper
• Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos

  2009cited by this paper
• Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization

  2008cited by this paper
• Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers

  2008cited by this paper
• Learning realistic human actions from movies

  2008cited by this paper
• Active Matching

  2008cited by this paper
• Linking names and faces: seeing the problem in different ways

  2008cited by this paper
• DIFFRAC: a discriminative and flexible framework for clustering

  2007cited by this paper
• Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video

  2006influential reference
• Names and faces in the news

  2004cited by this paper
• Matching Words and Pictures

  2003cited by this paper
• WHO IS IT

  1914cited by this paper

• Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach

  2025cites this paper
• Network mining of character relationships in novels and algorithm for shaping character relationships in TV dramas

  2025cites this paper
• Entity Resolution in Situated Dialog With Unimodal and Multimodal Transformers

  2024cites this paper
• MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos

  2024cites this paper
• Character-aware audio-visual subtitling in context

  2024cites this paper
• Towards Multi-Modal Co-Reference Resolution in Conversational Shopping Agents

  2024cites this paper
• Outside Knowledge Visual Question Answering Version 2.0

  2023cites this paper
• Semi-supervised multimodal coreference resolution in image narrations

  2023cites this paper
• Aligning and linking entity mentions in image, text, and knowledge base

  2022cites this paper
• Multimodal Coreference Resolution

  2022cites this paper
• Multimodal Conversational AI: A Survey of Datasets and Approaches

  2022cites this paper
• AI Video Editing: a Survey

  2022cites this paper
• Who are you referring to? Coreference resolution in image narrations

  2022cites this paper
• Who are you referring to? Weakly supervised coreference resolution with multimodal grounding

  2022cites this paper
• Neuro-Symbolic Visual Dialog

  2022cites this paper
• Flexible and scalable annotation tool to develop scene understanding datasets

  2022cites this paper
• Resolving Linguistic Ambiguities by Visual Context

  2022cites this paper
• Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models

  2022cites this paper
• Creating Multimedia Summaries Using Tweets and Videos

  2022cites this paper
• Annotation and Evaluation of Coreference Resolution in Screenplays

  2021cites this paper
• Face, Body, Voice: Video Person-Clustering with Multiple Modalities

  2021cites this paper
• On Visual-Textual-Knowledge Entity Linking

  2020cites this paper
• Natural Language Processing and Information Systems: 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany, June 24–26, 2020, Proceedings

  2020cites this paper
• Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation

  2020cites this paper
• Speaker Naming in TV programs Based on Speaker Role Recognition

  2020cites this paper
• Object-Centric Diagnosis of Visual Reasoning

  2020cites this paper
• Improving Face Clustering in Videos

  2020cites this paper
• Character Grounding and Re-identification in Story of Videos and Text Descriptions

  2020cites this paper
• ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

  2020cites this paper
• Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos

  2020cites this paper
• Identity-Aware Multi-Sentence Video Description

  2020cites this paper
• Self-supervised Face Representation Learning

  2020cites this paper
• Jointly Linking Visual and Textual Entity Mentions with Background Knowledge

  2020cites this paper
• Recurrent Attention Network with Reinforced Generator for Visual Dialog

  2020cites this paper
• A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation

  2020cites this paper
• VTKEL: a resource for visual-textual-knowledge entity linking

  2020cites this paper
• Video Face Clustering With Self-Supervised Representation Learning

  2020cites this paper
• Learning to recognise visual content from textual annotation

  2019cites this paper
• A Multiview Approach to Learning Articulated Motion Models

  2019cites this paper
• Self-Supervised Learning of Face Representations for Video Face Clustering

  2019cites this paper
• Navigating Video Using Structured Text

  2019cites this paper
• Moviescope: Large-scale Analysis of Movies using Multiple Modalities

  2019cites this paper
• Video Face Clustering With Unknown Number of Clusters

  2019cites this paper
• New Benchmark Datasets and a Character Identification System on TV Series

  2019cites this paper
• Active Learning of Identity Agnostic Roles for Character Grounding in Videos

  2019cites this paper
• Multimodal machine translation through visuals and speech

  2019cites this paper
• End-to-End Learning of Visual Representations From Uncurated Instructional Videos

  2019cites this paper
• Visual Coreference Resolution in Visual Dialog using Neural Module Networks

  2018cites this paper
• Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos

  2018cites this paper
• Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices

  2018cites this paper
• Now You Shake Me: Towards Automatic 4D Cinema

  2018cites this paper
• M-VAD names: a dataset for video captioning with naming

  2018cites this paper
• Grounding natural language phrases in images and video

  2018cites this paper
• Recursive Visual Attention in Visual Dialog

  2018cites this paper
• Character Prediction in TV Series via a Semantic Projection Network

  2018cites this paper
• Discover and Learn New Objects from Documentaries

  2017cites this paper
• Sentence Directed Video Object Codiscovery

  2017cites this paper
• Unsupervised Learning by Predicting Noise

  2017cites this paper
• Multimodal Visual Concept Learning with Weakly Supervised Techniques

  2017cites this paper
• MovieGraphs: Towards Understanding Human-Centric Situations from Videos

  2017cites this paper
• Entity linking across vision and language

  2017cites this paper
• Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach

  2017cites this paper
• Learning Articulated Object Models from Language and Vision

  2017influential citation
• Subspace Approximation for Approximate Nearest Neighbor Search in NLP

  2017cites this paper
• Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos

  2017cites this paper
• Learning from Video and Text via Large-Scale Discriminative Clustering

  2017cites this paper
• Generating Descriptions with Grounded and Co-referenced People

  2017influential citation
• A Survey of Content-Aware Video Analysis for Sports

  2017cites this paper
• Connectionist Temporal Modeling for Weakly Supervised Action Labeling

  2016cites this paper
• Matrix ? Why does Cypher betray Morpheus ? How does the movie end ?

  2016cites this paper
• Computational Methods for Integrating Vision and Language

  2016cites this paper
• Weakly Supervised Learning of Heterogeneous Concepts in Videos

  2016cites this paper
• Movie Description

  2016cites this paper
• Unsupervised person clustering in videos with cross-modal communication

  2016cites this paper
• Virtual Immortality: Reanimating Characters from TV Shows

  2016cites this paper
• Aligning movies with scripts by exploiting temporal ordering constraints

  2016cites this paper
• Multimedia Hashing and Networking

  2016cites this paper
• Instance-Level Video Segmentation from Object Tracks

  2016cites this paper
• Story Understanding through Semantic Analysis and Automatic Alignment of Text and Video

  2016cites this paper
• Articulated Motion Learning via Visual and Lingual Signals

  2015cites this paper
• A dataset for Movie Description

  2015cites this paper
• Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

  2015cites this paper
• Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

  2015cites this paper
• Book2Movie: Aligning video scenes with book chapters

  2015cites this paper
• Cross-document Event Coreference Resolution based on Cross-media Features

  2015cites this paper
• Do You See What I Mean? Visual Resolution of Linguistic Ambiguities

  2015cites this paper
• SceneSkim: Searching and Browsing Movies Using Synchronized Captions, Scripts and Plot Summaries

  2015cites this paper
• MovieQA: Understanding Stories in Movies through Question-Answering

  2015cites this paper
• Cognition as a Service: An Industry Perspective

  2015cites this paper
• It ’ s in the bag : Stronger supervision for automated face labelling

  2015cites this paper
• Learning Articulated Motion Models from Visual and Lingual Signals

  2015cites this paper
• Unsupervised Alignment of Natural Language with Video

  2015cites this paper
• Character Identification in TV-series via Non-local Cost Aggregation

  2015cites this paper
• Improved weak labels using contextual cues for person identification in videos

  2015cites this paper
• Weakly-Supervised Alignment of Video with Text

  2015cites this paper
• VQA: Visual Question Answering

  2015cites this paper
• Weakly supervised named entity classification

  2014cites this paper
• Edinburgh Research Explorer Semi-supervised multimodal coreference resolution in image narrations

  year unknowncites this paper
• Weakly supervised named entity classification

  year unknowncites this paper
• Recursive Visual Attention Algorithm 1 Recursive Visual Attention

  year unknowncites this paper