WA-L.C2: Machine Learning for Image & Video Synthesis
Wed, 19 Oct, 16:30 - 18:30 China Standard Time (UTC +8)
Wed, 19 Oct, 10:30 - 12:30 Central European Time (UTC +2)
Wed, 19 Oct, 08:30 - 10:30 UTC
Wed, 19 Oct, 04:30 - 06:30 Eastern Time (UTC -4)
Lecture
Location: Room C2
Session Chair: Andre Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg
Track: Applications of Machine Learning

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