80 citations · 152 across the 10 of their papers we have counts for
10 papers
SBoRA: Low-Rank Adaptation with Regional Weight Updates
Lai-Man Po, Yuyang Liu, Haoxuan Wu +5
This paper introduces Standard Basis LoRA (SBoRA), a novel parameter-efficient fine-tuning approach for Large Language Models that builds upon the pioneering works of Low-Rank Adap…
Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
Wing-Yin Yu, Lai-Man Po, Ray C. C. Cheung +3
Video-based human pose transfer is a video-to-video generation task that animates a plain source human image based on a series of target human poses. Considering the difficulties i…
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
Yuzhi Zhao, Lai-Man Po, Kangcheng Liu +5
In this paper, we propose a scribble-based video colorization network with temporal aggregation called SVCNet. It can colorize monochrome videos based on different user-given color…
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
Yuzhi Zhao, Lai-Man Po, Xuehui Wang +9
The appearances of children are inherited from their parents, which makes it feasible to predict them. Predicting realistic children's faces may help settle many social problems, s…
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation
Yujia Zhang, Lai-Man Po, Xuyuan Xu +5
Spatio-temporal representation learning is critical for video self-supervised representation. Recent approaches mainly use contrastive learning and pretext tasks. However, these ap…
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation
Jingjing Xiong, Lai-Man Po, Wing-Yin Yu +3
Real-time semantic segmentation has received considerable attention due to growing demands in many practical applications, such as autonomous vehicles, robotics, etc. Existing real…
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu +4
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning. The VCGAN…
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…
Legacy Photo Editing with Learned Noise Prior
Zhao Yuzhi, Po Lai-Man, Wang Xuehui +5
There are quite a number of photographs captured under undesirable conditions in the last century. Thus, they are often noisy, regionally incomplete, and grayscale formatted. Conve…
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung +2
Given a grayscale photograph, the colorization system estimates a visually plausible colorful image. Conventional methods often use semantics to colorize grayscale images. However,…