Search Results for author: Min Zheng

Found 29 papers, 10 papers with code

UniFL: Improve Stable Diffusion via Unified Feedback Learning

no code implementations8 Apr 2024 Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Min Zheng, Lean Fu, Guanbin Li

Diffusion models have revolutionized the field of image generation, leading to the proliferation of high-quality models and diverse downstream applications.

Image Generation

Wi-Fi-based Personnel Identity Recognition: Addressing Dataset Imbalance with C-DDPMs

no code implementations7 Apr 2024 Jichen Bian, Chong Tan, Peiyao Tang, Min Zheng

Wireless sensing technologies become increasingly prevalent due to the ubiquitous nature of wireless signals and their inherent privacy-friendly characteristics.


ByteEdit: Boost, Comply and Accelerate Generative Image Editing

no code implementations7 Apr 2024 Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu

Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks.

Image Outpainting

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models

1 code implementation4 Mar 2024 Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Min Zheng, Lean Fu

Especially, after learning a deep understanding of pure resolution priors, ResAdapter trained on the general dataset, generates resolution-free images with personalized diffusion models while preserving their original style domain.

Image Generation

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration

1 code implementation ICCV 2023 Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

Therefore, we propose to search the optimal time steps sequence and compressed model architecture in a unified framework to achieve effective image generation for diffusion models without any further training.

Image Generation single-image-generation

PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models

1 code implementation11 Sep 2023 Li Chen, Mengyi Zhao, Yiheng Liu, Mingxu Ding, Yangyang Song, Shizun Wang, Xu Wang, Hao Yang, Jing Liu, Kang Du, Min Zheng

Personalized text-to-image generation has emerged as a powerful and sought-after tool, empowering users to create customized images based on their specific concepts and prompts.

Text-to-Image Generation

DLIP: Distilling Language-Image Pre-training

no code implementations24 Aug 2023 Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji

Furthermore, DLIP succeeds in retaining more than 95% of the performance with 22. 4% parameters and 24. 8% FLOPs compared to the teacher model and accelerates inference speed by 2. 7x.

Image Captioning Knowledge Distillation +5

AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose

1 code implementation7 Aug 2023 Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Kang Du, Min Zheng

We present AvatarVerse, a stable pipeline for generating expressive high-quality 3D avatars from nothing but text descriptions and pose guidance.

Text-to-3D-Human Generation

HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation

no code implementations29 Jul 2023 Zuyan Liu, Gaojie Lin, Congyi Wang, Min Zheng, Feida Zhu

Our approach involves a unified and multi-granularity strategy that includes a pseudo keypoint alignment module in the teacher-student framework for learning pose-aware semantic class tokens.

Pose Estimation regression +2

AlignDet: Aligning Pre-training and Fine-tuning in Object Detection

1 code implementation ICCV 2023 Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

To this end, we propose AlignDet, a unified pre-training framework that can be adapted to various existing detectors to alleviate the discrepancies.

object-detection Object Detection

SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines

no code implementations19 Jan 2023 Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Yi Yuan, Yunzhao Zeng, Min Zheng, Chuang Zhang, Ming Wu

To this end, we propose SwiftAvatar, a novel avatar auto-creation framework that is evidently superior to previous works.

Local and Global Logit Adjustments for Long-Tailed Learning

no code implementations ICCV 2023 Yingfan Tao, Jingna Sun, Hao Yang, Li Chen, Xu Wang, Wenming Yang, Daniel Du, Min Zheng

LGLA consists of two core components: a Class-aware Logit Adjustment (CLA) strategy and an Adaptive Angular Weighted (AAW) loss.

Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation

1 code implementation22 Aug 2022 Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang

Consequently, we offer the first attempt to provide lightweight SSSS models via a novel multi-granularity distillation (MGD) scheme, where multi-granularity is captured from three aspects: i) complementary teacher structure; ii) labeled-unlabeled data cooperative distillation; iii) hierarchical and multi-levels loss setting.

Knowledge Distillation Semi-Supervised Semantic Segmentation

Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios

4 code implementations12 Jul 2022 Jiashi Li, Xin Xia, Wei Li, Huixia Li, Xing Wang, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

Then, Next Hybrid Strategy (NHS) is designed to stack NCB and NTB in an efficient hybrid paradigm, which boosts performance in various downstream tasks.

Image Classification

Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation

no code implementations22 Jun 2022 Ming Li, Jie Wu, Jinhang Cai, Jie Qin, Yuxi Ren, Xuefeng Xiao, Min Zheng, Rui Wang, Xin Pan

Recently, Synthetic data-based Instance Segmentation has become an exceedingly favorable optimization paradigm since it leverages simulation rendering and physics to generate high-quality image-annotation pairs.

Instance Segmentation Segmentation +1

MoCoViT: Mobile Convolutional Vision Transformer

1 code implementation25 May 2022 Hailong Ma, Xin Xia, Xing Wang, Xuefeng Xiao, Jiashi Li, Min Zheng

Recently, Transformer networks have achieved impressive results on a variety of vision tasks.

object-detection Object Detection

TRT-ViT: TensorRT-oriented Vision Transformer

no code implementations19 May 2022 Xin Xia, Jiashi Li, Jie Wu, Xing Wang, Xuefeng Xiao, Min Zheng, Rui Wang

We revisit the existing excellent Transformers from the perspective of practical application.

Image Classification object-detection +2

Dressing in the Wild by Watching Dance Videos

no code implementations CVPR 2022 Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang

While significant progress has been made in garment transfer, one of the most applicable directions of human-centric image generation, existing works overlook the in-the-wild imagery, presenting severe garment-person misalignment as well as noticeable degradation in fine texture details.

Image Generation Virtual Try-on

ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer

2 code implementations21 Mar 2022 Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li

The vanilla self-attention mechanism inherently relies on pre-defined and steadfast computational dimensions.

Gaussian Context Transformer

no code implementations CVPR 2021 Dongsheng Ruan, Daiyin Wang, Yuan Zheng, Nenggan Zheng, Min Zheng

These approaches commonly learn the relationship between global contexts and attention activations by using fully-connected layers or linear transformations.

Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search

no code implementations15 May 2020 Xin Xia, Xuefeng Xiao, Xing Wang, Min Zheng

In this way, PAD-NAS can automatically design the operations for each layer and achieve a trade-off between search space quality and model diversity.

Efficient Neural Network Neural Architecture Search

Linear Context Transform Block

no code implementations6 Sep 2019 Dongsheng Ruan, Jun Wen, Nenggan Zheng, Min Zheng

In this work, we first revisit the SE block, and then present a detailed empirical study of the relationship between global context and attention distribution, based on which we propose a simple yet effective module, called Linear Context Transform (LCT) block.

Image Classification object-detection +1

Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series

no code implementations16 May 2019 Zahra Ebrahimzadeh, Min Zheng, Selcuk Karakas, Samantha Kleinberg

Many real-world time series, such as in health, have changepoints where the system's structure or parameters change.

Time Series Time Series Analysis

Pyramid Recurrent Neural Networks for Multi-Scale Change-Point Detection

no code implementations ICLR 2019 Zahra Ebrahimzadeh, Min Zheng, Selcuk Karakas, Samantha Kleinberg

To address this, we show how changepoint detection can be treated as a supervised learning problem, and propose a new deep neural network architecture that can efficiently identify both abrupt and gradual changes at multiple scales.

Activity Recognition Change Point Detection +2

DroidAnalytics: A Signature Based Analytic System to Collect, Extract, Analyze and Associate Android Malware

no code implementations28 Feb 2013 Min Zheng, Mingshen Sun, John C. S. Lui

In this paper, we present the design and implementation of DroidAnalytics, a signature based analytic system to automatically collect, manage, analyze and extract android malware.

Cryptography and Security

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