b'Yunpeng Chen'

research

∙ 05/29/2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Public large-scale text-to-image diffusion models, such as Stable Diffus...

0 Yuchao Gu, et al. ∙

research

∙ 03/15/2022

Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation

In this paper, we present a novel Distribution-Aware Single-stage (DAS) ...

0 Zitian Wang, et al. ∙

research

∙ 02/15/2022

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations

Recent state-of-the-art one-stage instance segmentation model SOLO divid...

8 PetsTime, et al. ∙

research

∙ 11/24/2021

MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video

Self-attention has become an integral component of the recent network ar...

0 David Junhao Zhang, et al. ∙

research

∙ 10/12/2021

Improved Pillar with Fine-grained Feature for 3D Object Detection

3D object detection with LiDAR point clouds plays an important role in a...

0 Jiahui Fu, et al. ∙

research

∙ 09/24/2021

Dense Contrastive Visual-Linguistic Pretraining

Inspired by the success of BERT, several multimodal representation learn...

0 Lei Shi, et al. ∙

research

∙ 09/15/2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers

Recently, DETR pioneered the solution of vision tasks with transformers,...

10 PetsTime, et al. ∙

research

∙ 05/10/2021

Continual Learning via Bit-Level Information Preserving

Continual learning tackles the setting of learning different tasks seque...

0 Yujun Shi, et al. ∙

research

∙ 01/28/2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Transformers, which are popular for language modeling, have been explore...

34 Li Yuan, et al. ∙

research

∙ 10/31/2020

ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition

Knowledge Distillation (KD) refers to transferring knowledge from a larg...

0 Weidong Shi, et al. ∙

research

∙ 10/16/2020

Towards Accurate Human Pose Estimation in Videos of Crowded Scenes

Video-based human pose estimation in crowded scenes is a challenging pro...

1 Li Yuan, et al. ∙

research

∙ 10/16/2020

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes

Detecting and recognizing human action in videos with crowded scenes is ...

1 Li Yuan, et al. ∙

research

∙ 10/16/2020

A Simple Baseline for Pose Tracking in Videos of Crowded Scenes

This paper presents our solution to ACM MM challenge: Large-scale Human-...

1 Li Yuan, et al. ∙

research

∙ 08/06/2020

ConvBERT: Improving BERT with Span-based Dynamic Convolution

Pre-trained language models like BERT and its variants have recently ach...

0 Zihang Jiang, et al. ∙

research

∙ 07/05/2020

Rethinking Bottleneck Structure for Efficient Mobile Network Design

The inverted residual block is dominating architecture design for mobile...

0 Zhou Daquan, et al. ∙

research

∙ 03/30/2020

PANDA: Prototypical Unsupervised Domain Adaptation

Previous adversarial domain alignment methods for unsupervised domain ad...

0 Dapeng Hu, et al. ∙

research

∙ 03/12/2020

Highly Efficient Salient Object Detection with 100K Parameters

Salient object detection models often demand a considerable amount of co...

0 Shang-Hua Gao, et al. ∙

research

∙ 12/10/2019

Efficient Differentiable Neural Architecture Search with Meta Kernels

The searching procedure of neural architecture search (NAS) is notorious...

0 Shoufa Chen, et al. ∙

research

∙ 12/04/2019

AdversarialNAS: Adversarial Neural Architecture Search for GANs

Neural Architecture Search (NAS) that aims to automate the procedure of ...

0 Chen Gao, et al. ∙

research

∙ 11/19/2019

Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition

We propose a new building block, IdleBlock, which naturally prunes conne...

0 Bing Xu, et al. ∙

research

∙ 04/10/2019

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

In natural images, information is conveyed at different frequencies wher...

0 Yunpeng Chen, et al. ∙

research

∙ 02/25/2019

Dynamic Feature Fusion for Semantic Edge Detection

Features from multiple scales can greatly benefit the semantic edge dete...

0 Yuan Hu, et al. ∙

research

∙ 01/24/2019

Deep Reasoning with Multi-scale Context for Salient Object Detection

To detect and segment salient objects accurately, existing methods are u...

0 Zun Li, et al. ∙

research

∙ 11/30/2018

Graph-Based Global Reasoning Networks

Globally modeling and reasoning over relations between regions can be be...

0 Yunpeng Chen, et al. ∙

research

∙ 10/27/2018

A^2-Nets: Double Attention Networks

Learning to capture long-range relations is fundamental to image/video r...

0 Yunpeng Chen, et al. ∙

research

∙ 07/30/2018

Multi-Fiber Networks for Video Recognition

In this paper, we aim to reduce the computational cost of spatio-tempora...

0 Yunpeng Chen, et al. ∙

research

∙ 12/08/2017

Weaving Multi-scale Context for Single Shot Detector

Aggregating context information from multiple scales has been proved to ...

0 Yunpeng Chen, et al. ∙

research

∙ 11/09/2017

Predicting Scene Parsing and Motion Dynamics in the Future

The ability of predicting the future is important for intelligent system...

0 Xiaojie Jin, et al. ∙

research

∙ 10/04/2017

Learning to Segment Human by Watching YouTube

An intuition on human segmentation is that when a human is moving in a v...

0 Xiaodan Liang, et al. ∙

research

∙ 07/06/2017

Dual Path Networks

In this work, we present a simple, highly efficient and modularized Dual...

0 Yunpeng Chen, et al. ∙

research

∙ 01/24/2017

Training Group Orthogonal Neural Networks with Privileged Information

Learning rich and diverse representations is critical for the performanc...

0 Yunpeng Chen, et al. ∙

research

∙ 12/01/2016

Video Scene Parsing with Predictive Feature Learning

In this work, we address the challenging video scene parsing problem by ...

0 Xiaojie Jin, et al. ∙

research

∙ 08/27/2016

Multi-Path Feedback Recurrent Neural Network for Scene Parsing

In this paper, we consider the scene parsing problem and propose a novel...

0 Xiaojie Jin, et al. ∙

research

∙ 09/10/2015

STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

Recently, significant improvement has been made on semantic object segme...

0 Yunchao Wei, et al. ∙

Yunpeng Chen

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