activity
20212024
most citedVCGAN: Video Colorization with Hybrid Generative Adversarial Network

42 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations

Mingjie Xu, Mengyang Wu, Yuzhi Zhao +2

Scene Graph Generation (SGG) converts visual scenes into structured graph representations, providing deeper scene understanding for complex vision tasks. However, existing SGG mode…

cs.CV2022★ 11 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021★ 42 cited

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…