Search Results for author: Jun Lan

Found 11 papers, 8 papers with code

Conditional Prototype Rectification Prompt Learning

1 code implementation15 Apr 2024 Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang

Recent advancements in efficient transfer learning (ETL) have shown remarkable success in fine-tuning VLMs within the scenario of limited data, introducing only a few parameters to harness task-specific insights from VLMs.

Transfer Learning

Segment Anything Model Meets Image Harmonization

no code implementations20 Dec 2023 Haoxing Chen, Yaohui Li, Zhangxuan Gu, Zhuoer Xu, Jun Lan, Huaxiong Li

Image harmonization is a crucial technique in image composition that aims to seamlessly match the background by adjusting the foreground of composite images.

Image Harmonization Semantic Segmentation

Realizing In-Memory Baseband Processing for Ultra-Fast and Energy-Efficient 6G

no code implementations19 Aug 2023 Qunsong Zeng, Jiawei Liu, Mingrui Jiang, Jun Lan, Yi Gong, Zhongrui Wang, Yida Li, Can Li, Jim Ignowski, Kaibin Huang

To support emerging applications ranging from holographic communications to extended reality, next-generation mobile wireless communication systems require ultra-fast and energy-efficient baseband processors.

ControlCom: Controllable Image Composition using Diffusion Model

1 code implementation19 Aug 2023 Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu

To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.

Image Harmonization

DiffUTE: Universal Text Editing Diffusion Model

1 code implementation NeurIPS 2023 Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

Specifically, we build our model on a diffusion model and carefully modify the network structure to enable the model for drawing multilingual characters with the help of glyph and position information.

Self-Supervised Learning

DiffusionInst: Diffusion Model for Instance Segmentation

2 code implementations6 Dec 2022 Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang

Extensive experimental results on COCO and LVIS show that DiffusionInst achieves competitive performance compared to existing instance segmentation models with various backbones, such as ResNet and Swin Transformers.

Instance Segmentation Segmentation

Hierarchical Dynamic Image Harmonization

1 code implementation16 Nov 2022 Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li

The MGD effectively applies distinct convolution to the foreground and background, learning the representations of foreground and background regions as well as their correlations to the global harmonization, facilitating local visual consistency for the images much more efficiently.

Image Harmonization

Realizing Ultra-Fast and Energy-Efficient Baseband Processing Using Analogue Resistive Switching Memory

no code implementations7 May 2022 Qunsong Zeng, Jiawei Liu, Jun Lan, Yi Gong, Zhongrui Wang, Yida Li, Kaibin Huang

To support emerging applications ranging from holographic communications to extended reality, next-generation mobile wireless communication systems require ultra-fast and energy-efficient (UFEE) baseband processors.

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

1 code implementation CVPR 2022 Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang

Recently, various multimodal networks for Visually-Rich Document Understanding(VRDU) have been proposed, showing the promotion of transformers by integrating visual and layout information with the text embeddings.

document understanding Optical Character Recognition (OCR) +1

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