Results 111 to 120 of about 400 (142)

Advances in artificial intelligence: a review for the creative industries. [PDF]

Artif Intell Rev
Anantrasirichai N, Zhang F, Bull D.
europepmc   +1 more source

A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Classification. [PDF]

J Imaging
Dhar MK, Deb M, Elangovan P, Gopalakrishnan K, Sood D, Kaur A, Parikh C, Rapolu S, Panjwani GAR, Ansari RA, Asadimanesh N, Karuppiah SS, Helgeson SA, Akshintala VS, Arunachalam SP.   +14 more
europepmc   +1 more source

Parameter efficient multi-model vision assistant for polymer solvation behaviour inference. [PDF]

NPJ Comput Mater
Liew ZJ, Elkhaiary Z, Lapkin AA.
europepmc   +1 more source

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Accelerated masked transformer for dense video captioning

Neurocomputing, 2021
Abstract Dense video captioning aims to generate dense descriptions for all possible events in an untrimmed video. The task is challenging that it requires accurately localizing events in the video and simultaneously describe each event with a sentence.
Zhou Yu
exaly   +3 more sources

Dense Video Captioning Using Graph-Based Sentence Summarization

IEEE Transactions on Multimedia, 2021
12 ...
Luping Zhou, Zhiwang Zhang, Wanli Ouyang
exaly   +5 more sources

Dense Video Captioning for Incomplete Videos

2021
Incomplete video or partially-missing video situations are rarely considered in video captioning research. Previous approaches are mainly trained and evaluated on complete video clip datasets where all the events involved are thoroughly observed. In this work, we formulate the issue of video content description for partially-missing videos.
Xuan Dang, Guolong Wang 0001, Kun Xiong, Zheng Qin 0003   +3 more
openaire   +1 more source

Hierarchical Language Modeling for Dense Video Captioning

Lecture Notes in Networks and Systems, 2022
Padmavathi S
exaly   +2 more sources

Event-Centric Hierarchical Representation for Dense Video Captioning

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Dense video captioning aims to localize and describe multiple events in untrimmed videos, which is a challenging task that draws attention recently in computer vision. Although existing methods have achieved impressive performance, most of them only focus on local information of event segments or very simple event-level context, overlooking the ...
Teng Wang 0007, Huicheng Zheng, Mingjing Yu, Qian Tian, Haifeng Hu 0001   +4 more
openaire   +2 more sources

Transformer and LLM-Based Captioning Module for Dense Video Captioning

Lecture Notes in Networks and Systems
Dvijesh Bhatt
exaly   +2 more sources

ADVC: Adversarial dense video captioning with unsupervised pretraining

Image and Vision Computing
Jiasi Chen, Wangyu Choi, Jongwon Yoon
exaly   +3 more sources