5 citations · 5 across the 4 of their papers we have counts for
4 papers
Omni-C: Compressing Heterogeneous Modalities into a Single Dense Encoder
Kin Wai Lau, Yasar Abbas Ur Rehman, Lai-Man Po +1
Recent multimodal systems often rely on separate expert modality encoders which cause linearly scaling complexity and computational overhead with added modalities. While unified Om…
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão +3
Federated Learning (FL) has emerged as a privacy-preserving method for training machine learning models in a distributed manner on edge devices. However, on-device models face inhe…
Spatial Content Alignment For Pose Transfer
Wing-Yin Yu, Lai-Man Po, Yuzhi Zhao +2
Due to unreliable geometric matching and content misalignment, most conventional pose transfer algorithms fail to generate fine-trained person images. In this paper, we propose a n…
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
Yuqian Zhou, Michael Kwan, Kyle Tolentino +42
This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-co…