A Near-Optimal Generative Learning Scheme for Neural Energy-Based Models
Yang Wu, Xu cai, Pengxu Wei, Liang Lin.
Real-World Image Super-Resolution Challenge (AIM 2020 in conjunction with ECCV 2020) [AIM2020 webpage]
We provide high/low resolution image pairs of 3 scales captured by 5 different DSLR cameras through zooming lens. The challenging contains 3 tracks, one track per scale. The detail of the dataset is provided in Table 1. For the convergence of training, images in the trainset are cropped into fixed size patches using sliding window after careful alignment for image pairs. [Chanllenge Page]
Organizers: Pengxu Wei (Sun Yat-Sen University), Hannan Lu (Harbin Institute of Technology), Wangmeng Zuo (Harbin Institute of Technology), Radu Timofte (ETH Zurich)
IEEE CASS Seasonal School on New Trends of Visual and Language Understanding (NT-VLU) [Website, Video]
To organize the IEEE CASS Seasonal School on NT-VLU, we invited several top-tier researchers to present their works and arrange two panels to discuss the new trends of NT-VLU. This seasonal school aimed to promote the frontier of language and vision research and to provide an ambiance for fruitful exchange of ideas and discussion of advances, challenges, and trends of this area in the near future. [Website]
Spearkers: Jiebo Luo (University of Rochester), Cees G.M. Snoek (University of Amsterdam), Wen-Huang Cheng (National Yang Ming Chiao Tung University), Hanwang Zhang (Nanyang Technological University), Michael Kampffmeyer (UiT the Arctic University of Norway), Dan Xu (Hong Kong University of Sciences and Technology), Pengfei Liu (Carnegie Mellon University)
Organizers: Liang Lin(Sun Yat-Sen University), Wangmeng Zuo (Harbin Institute of Technology), Xiaodan Liang(Sun Yat-Sen University), Yunchao Wei (Beijing Jiaotong University), Pengxu Wei (Sun Yat-Sen University), Guanbin Li(Sun Yat-Sen University)