4 code implementations • 29 Aug 2023 • Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
Diffusion models have demonstrated impressive generative capabilities, but their \textit{exposure bias} problem, described as the input mismatch between training and sampling, lacks in-depth exploration.
Ranked #8 on Image Generation on CIFAR-10
1 code implementation • 27 Jan 2023 • Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
Denoising Diffusion Probabilistic Models have shown an impressive generation quality, although their long sampling chain leads to high computational costs.
Ranked #1 on Image Generation on FFHQ 128 x 128
no code implementations • ICIAP 2022 • Mang Ning, Xiaoliang Ma, Yao Lu, Simone Calderara, Rita Cucchiara
In this paper, we introduce SeeFar to achieve vehicle speed estimation and traffic flow analysis based on YOLOv5 and DeepSORT from a moving drone.