W2.2
PERCEPTUAL IMPACT OF THE LOSS FUNCTION ON DEEP-LEARNING IMAGE CODING PERFORMANCE
Shima Mohammadi, João Ascenso, IST, Portugal
Session:
Image Coding
Track:
Visual data coding and processing
Location:
Almaden Ballroom
Presentation Time:
Wed, 7 Dec, 13:48 - 14:06 PST (UTC -7)
Session Chair:
João Ascenso, Instituto Superior Técnico, Portugal
Presentation
Discussion
Resources
No resources available.
Session W2
W2.1: Flexible luma-chroma bit allocation in learned image compression for high-fidelity sharper images
O. Ugur Ulas, A. Murat Tekalp, Koc University, Turkey
W2.2: PERCEPTUAL IMPACT OF THE LOSS FUNCTION ON DEEP-LEARNING IMAGE CODING PERFORMANCE
Shima Mohammadi, João Ascenso, IST, Portugal
W2.3: Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module
Haisheng Fu, xi'an jiaotong University and Simon Fraser University, China; Feng Liang, Guohe zhang, xi'an jiaotong University, China; Jie Liang, BingLin Li, Simon Fraser University, China; JiangNing Han, google, China
W2.4: LEARNING-BASED CONDITIONAL IMAGE CODER USING COLOR SEPARATION
Panqi Jia, Friedrich-Alexander-University Erlangen-Nürnberg & Huawei Technologies, Germany; Ahmet Burakhan Koyuncu, Technical University of Munich & Huawei Technologies, Germany; Georgii Gaikov, Alexander Karabutov, Elena Alshina, Huawei Technologies, Russian Federation; André Kaup, Friedrich-Alexander-University Erlangen-Nürnberg, Germany
W2.5: POSITION-BASED MOTION VECTOR PREDICTION FOR TEXTUAL IMAGE CODING
Donghui Feng, Chen Zhu, Guo Lu, Li Song, Shanghai Jiao Tong University, China