Mengchen Liu | DeepAI

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Lei Zhang
366 publications
Zhangyang Wang
245 publications
Jianfeng Gao
241 publications
Jun Zhu
239 publications
Furu Wei
184 publications
Zhen Li
122 publications
Dongdong Chen
113 publications
Nenghai Yu
110 publications
Hang Su
109 publications
Han Hu
106 publications
Xinggang Wang
104 publications

∙ 09/21/2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance

In this paper, we propose a novel cross-modal distillation method, calle...

0 Kan Wu, et al. ∙

∙ 05/25/2023

Image is First-order Norm+Linear Autoregressive

This paper reveals that every image can be understood as a first-order n...

0 Yinpeng Chen, et al. ∙

∙ 02/27/2023

Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations

Recently, both Contrastive Learning (CL) and Mask Image Modeling (MIM) d...

0 Ziyu Jiang, et al. ∙

∙ 11/23/2022

Self-Supervised Learning based on Heat Equation

This paper presents a new perspective of self-supervised learning based ...

0 Yinpeng Chen, et al. ∙

∙ 08/20/2022

Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles

Recent advances in artificial intelligence largely benefit from better n...

3 Jun Yuan, et al. ∙

∙ 07/21/2022

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Vision transformer (ViT) recently has drawn great attention in computer ...

0 Kan Wu, et al. ∙

∙ 07/07/2022

Should All Proposals be Treated Equally in Object Detection?

The complexity-precision trade-off of an object detector is a critical p...

9 Yunsheng Li, et al. ∙

∙ 06/07/2022

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding

Leveraging large-scale data can introduce performance gains on many comp...

9 Lingchen Meng, et al. ∙

∙ 05/10/2022

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

Transformers have achieved great success in pluralistic image inpainting...

10 Qiankun Liu, et al. ∙

∙ 04/20/2022

Residual Mixture of Experts

Mixture of Experts (MoE) is able to scale up vision transformers effecti...

3 Lemeng Wu, et al. ∙

∙ 04/14/2022

MiniViT: Compressing Vision Transformers with Weight Multiplexing

Vision Transformer (ViT) models have recently drawn much attention in co...

0 Jinnian Zhang, et al. ∙

∙ 11/22/2021

Florence: A New Foundation Model for Computer Vision

Automated visual understanding of our diverse and open world demands com...

4 Lu Yuan, et al. ∙

∙ 08/12/2021

Mobile-Former: Bridging MobileNet and Transformer

We present Mobile-Former, a parallel design of MobileNet and Transformer...

28 Yinpeng Chen, et al. ∙

∙ 08/12/2021

MicroNet: Improving Image Recognition with Extremely Low FLOPs

This paper aims at addressing the problem of substantial performance deg...

19 Yunsheng Li, et al. ∙

∙ 06/15/2021

Dynamic Head: Unifying Object Detection Heads with Attentions

The complex nature of combining localization and classification in objec...

3 Xiyang Dai, et al. ∙

∙ 03/29/2021

CvT: Introducing Convolutions to Vision Transformers

We present in this paper a new architecture, named Convolutional vision ...

30 Haiping Wu, et al. ∙

∙ 03/15/2021

Revisiting Dynamic Convolution via Matrix Decomposition

Recent research in dynamic convolution shows substantial performance boo...

18 Yunsheng Li, et al. ∙

∙ 02/21/2021

Weak NAS Predictors Are All You Need

Neural Architecture Search (NAS) finds the best network architecture by ...

9 Junru Wu, et al. ∙

∙ 11/24/2020

MicroNet: Towards Image Recognition with Extremely Low FLOPs

In this paper, we present MicroNet, which is an efficient convolutional ...

5 Yunsheng Li, et al. ∙

∙ 08/21/2020

A Survey of Visual Analytics Techniques for Machine Learning

Visual analytics for machine learning has recently evolved as one of the...

0 Jun Yuan, et al. ∙

∙ 07/28/2020

Diagnosing Concept Drift with Visual Analytics

Concept drift is a phenomenon in which the distribution of a data stream...

0 Weikai Yang, et al. ∙

∙ 03/27/2020

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Efficient search is a core issue in Neural Architecture Search (NAS). It...

0 Xiyang Dai, et al. ∙

∙ 03/22/2020

Dynamic ReLU

Rectified linear units (ReLU) are commonly used in deep neural networks....

0 Yinpeng Chen, et al. ∙

∙ 12/07/2019

Dynamic Convolution: Attention over Convolution Kernels

Light-weight convolutional neural networks (CNNs) suffer performance deg...

1 Yinpeng Chen, et al. ∙

∙ 10/09/2018

Analyzing the Noise Robustness of Deep Neural Networks

Deep neural networks (DNNs) are vulnerable to maliciously generated adve...

6 Mengchen Liu, et al. ∙

∙ 02/04/2017

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Interactive model analysis, the process of understanding, diagnosing, an...

0 Shixia Liu, et al. ∙

∙ 04/24/2016

Towards Better Analysis of Deep Convolutional Neural Networks

Deep convolutional neural networks (CNNs) have achieved breakthrough per...

0 Mengchen Liu, et al. ∙

∙ 12/13/2015

An Uncertainty-Aware Approach for Exploratory Microblog Retrieval

Although there has been a great deal of interest in analyzing customer o...

0 Mengchen Liu, et al. ∙

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