Search Results for author: Weifeng Ou

Found 5 papers, 4 papers with code

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

1 code implementation9 Dec 2024 Mingjie Xu, Mengyang Wu, Yuzhi Zhao, Jason Chun Lok Li, Weifeng Ou

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

Language Modeling Language Modelling +5

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning

1 code implementation21 Apr 2022 Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, Yujia Zhang, Wei Liu, Chun-Kit Wong, Chiu-Sing Pang, Weifeng Ou, Wing-Yin Yu, Buhua Liu

On this basis, we formulate predictions as a mapping from parents' genetic factors to children's genetic factors, and disentangle them from external and variety factors.

Age-Invariant Face Recognition Image-to-Image Translation +3

Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation

1 code implementation16 Dec 2021 Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing-Yin Yu

Moreover, we employ a joint optimization combining pretext tasks with contrastive learning to further enhance the spatio-temporal representation learning.

Contrastive Learning Representation Learning +1

CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation

no code implementations8 Jun 2021 Jingjing Xiong, Lai-Man Po, Wing-Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou

Real-time semantic segmentation has received considerable attention due to growing demands in many practical applications, such as autonomous vehicles, robotics, etc.

Autonomous Vehicles Real-Time Semantic Segmentation +1

VCGAN: Video Colorization with Hybrid Generative Adversarial Network

1 code implementation26 Apr 2021 Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu, Yasar Abbas Ur Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou

We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning.

Colorization Generative Adversarial Network +1

Cannot find the paper you are looking for? You can Submit a new open access paper.