Search Results for author: Kaiwen Cui

Found 12 papers, 7 papers with code

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

1 code implementation30 Jul 2022 Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing

Despite its success, the said paradigm is still constrained by several factors, such as (i) low-quality region proposals for novel classes and (ii) negligence of the inter-class correlation among different classes.

Few-Shot Object Detection Meta-Learning +1

Auto-regressive Image Synthesis with Integrated Quantization

no code implementations21 Jul 2022 Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Changgong Zhang, Shijian Lu

Extensive experiments over multiple conditional image generation tasks show that our method achieves superior diverse image generation performance qualitatively and quantitatively as compared with the state-of-the-art.

Conditional Image Generation Inductive Bias +1

Accelerating DETR Convergence via Semantic-Aligned Matching

1 code implementation CVPR 2022 Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Kaiwen Cui, Shijian Lu

First, it projects object queries into the same embedding space as encoded image features, where the matching can be accomplished efficiently with aligned semantics.

object-detection Object Detection

GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data

1 code implementation4 Oct 2021 Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu

Specifically, we design GenCo, a Generative Co-training network that mitigates the discriminator over-fitting issue by introducing multiple complementary discriminators that provide diverse supervision from multiple distinctive views in training.

Data Augmentation Image Generation

Bi-level Feature Alignment for Versatile Image Translation and Manipulation

2 code implementations7 Jul 2021 Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao

This paper presents a versatile image translation and manipulation framework that achieves accurate semantic and style guidance in image generation by explicitly building a correspondence.

Image Generation Translation

Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

no code implementations26 Apr 2021 Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao

With image-level attention, transformers enable to model long-range dependencies and generate diverse contents with autoregressive modeling of pixel-sequence distributions.

Image Inpainting Language Modelling

Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection

no code implementations28 Mar 2021 Gongjie Zhang, Kaiwen Cui, Tzu-Yi Hung, Shijian Lu

In addition, the synthesized defect samples demonstrate their effectiveness in training better defect inspection networks.

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