Search Results for author: Min Zheng

Found 16 papers, 5 papers with code

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.

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

3 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 Semantic Segmentation

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

SepViT: Separable Vision Transformer

1 code implementation29 Mar 2022 Wei Li, Xing Wang, Xin Xia, Jie Wu, Xuefeng Xiao, Min Zheng, Shiping Wen

SepViT helps to carry out the information interaction within and among the windows via a depthwise separable self-attention.

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 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 +1

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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