WA-L.C2.4
ENCODER ENABLED GAN-BASED VIDEO GENERATORS
Jingbo Yang, Adrian G. Bors, University of York, United Kingdom of Great Britain and Northern Ireland
Session:
Machine Learning for Image & Video Synthesis
Track:
Applications of Machine Learning
Location:
Room C2
Presentation Time:
Wed, 19 Oct, 17:15 - 17:30 China Standard Time (UTC +8)
Wed, 19 Oct, 11:15 - 11:30 Central European Time (UTC +2)
Wed, 19 Oct, 09:15 - 09:30 UTC
Wed, 19 Oct, 05:15 - 05:30 Eastern Time (UTC -4)
Wed, 19 Oct, 11:15 - 11:30 Central European Time (UTC +2)
Wed, 19 Oct, 09:15 - 09:30 UTC
Wed, 19 Oct, 05:15 - 05:30 Eastern Time (UTC -4)
Session Chair:
Andre Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg
Presentation
Discussion
Resources
No resources available.
Session WA-L.C2
WA-L.C2.1: SVG VECTOR FONT GENERATION FOR CHINESE CHARACTERS WITH TRANSFORMER
Haruka Aoki, Kiyoharu Aizawa, The University of Tokyo, Japan
WA-L.C2.2: DIVERSE GENERATIVE PERTURBATIONS ON ATTENTION SPACE FOR TRANSFERABLE ADVERSARIAL ATTACKS
Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon, Korea Advanced Institute of Science and Technology (KAIST), Korea, Republic of
WA-L.C2.3: EVALUATION OF AUTOMATICALLY GENERATED VIDEO CAPTIONS USING VISION AND LANGUAGE MODELS
Luis Lebron, Noel E. O'Connor, Kevin McGuinness, Insight SFI Research Centre for Data Analytics, Dublin City University (DCU), Ireland; Yvette Graham, Trinity College Dublin, Ireland
WA-L.C2.4: ENCODER ENABLED GAN-BASED VIDEO GENERATORS
Jingbo Yang, Adrian G. Bors, University of York, United Kingdom of Great Britain and Northern Ireland
WA-L.C2.5: COMPONENT-BASED TRANSFORMATION FOR PERSON IMAGE GENERATION
Wen-Jiin Tsai, Po-Hsiang Chen, National Yang Ming Chiao Tung University, Taiwan
WA-L.C2.6: A PATCH-BASED ALGORITHM FOR DIVERSE AND HIGH FIDELITY SINGLE IMAGE GENERATION
Nicolas Cherel, Yann Gousseau, Alasdair Newson, LTCI, Télécom Paris, Institut Polytechnique de Paris, France; Andrés Almansa, MAP5, CNRS & Université de Paris, France