Search Results for author: Ziqi Huang

Found 9 papers, 5 papers with code

WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference

no code implementations22 Sep 2023 Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang

In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2023, organized alongside the hybrid CVPR 2023 in Vancouver, Canada.

FreeU: Free Lunch in Diffusion U-Net

1 code implementation20 Sep 2023 Chenyang Si, Ziqi Huang, Yuming Jiang, Ziwei Liu

In this paper, we uncover the untapped potential of diffusion U-Net, which serves as a "free lunch" that substantially improves the generation quality on the fly.

Denoising Video Generation

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case

no code implementations2 Aug 2023 Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlan-Grangel Gonzalez, Ahmet Soylu, Evgeny Kharlamov

Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML).

Knowledge Graph Embedding Link Prediction

Collaborative Diffusion for Multi-Modal Face Generation and Editing

1 code implementation CVPR 2023 Ziqi Huang, Kelvin C. K. Chan, Yuming Jiang, Ziwei Liu

In this work, we present Collaborative Diffusion, where pre-trained uni-modal diffusion models collaborate to achieve multi-modal face generation and editing without re-training.

Denoising Face Generation

ReVersion: Diffusion-Based Relation Inversion from Images

2 code implementations23 Mar 2023 Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C. K. Chan, Ziwei Liu

Specifically, we propose a novel relation-steering contrastive learning scheme to impose two critical properties of the relation prompt: 1) The relation prompt should capture the interaction between objects, enforced by the preposition prior.

Contrastive Learning

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

no code implementations14 Mar 2022 Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang

Furthermore, with only 5% paired data, the proposed DS3-Net achieves competitive performance with state-of-theart image translation methods utilizing 100% paired data, delivering an average SSIM of 0. 8947 and an average PSNR of 23. 60.

Knowledge Distillation SSIM +1

Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion

no code implementations9 Mar 2022 Ziqi Huang, Li Lin, Pujin Cheng, Linkai Peng, Xiaoying Tang

As such, it is clinically meaningful to develop a method to synthesize unavailable modalities which can also be used as additional inputs to downstream tasks (e. g., brain tumor segmentation) for performance enhancing.

Brain Tumor Segmentation Contrastive Learning +2

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning

1 code implementation13 Jan 2022 Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang

The two models use labeled data (together with the corresponding transferred images) for supervised learning and perform collaborative consistency learning on unlabeled data.

Image Reconstruction Retinal Vessel Segmentation +2

Talk-to-Edit: Fine-Grained Facial Editing via Dialog

1 code implementation ICCV 2021 Yuming Jiang, Ziqi Huang, Xingang Pan, Chen Change Loy, Ziwei Liu

In this work, we propose Talk-to-Edit, an interactive facial editing framework that performs fine-grained attribute manipulation through dialog between the user and the system.

Facial Editing Fine-Grained Facial Editing

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