b'Shuicheng Yan'

research

∙ 06/25/2022

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Deep reinforcement learning (RL) algorithms suffer severe performance de...

Yang Yue, et al. ∙

research

∙ 06/21/2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

There has been significant progress in developing reinforcement learning...

Jiayi Weng, et al. ∙

research

∙ 06/08/2022

Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks

For unsupervised pretraining, mask-reconstruction pretraining (MRP) appr...

Jiachun Pan, et al. ∙

research

∙ 05/26/2022

O(N^2) Universal Antisymmetry in Fermionic Neural Networks

Fermionic neural network (FermiNet) is a recently proposed wavefunction ...

Tianyu Pang, et al. ∙

research

∙ 04/30/2022

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization

Network quantization has emerged as a promising method for model compres...

Yangcheng Gao, et al. ∙

research

∙ 04/03/2022

Improving Vision Transformers by Revisiting High-frequency Components

The transformer models have shown promising effectiveness in dealing wit...

Jiawang Bai, et al. ∙

research

∙ 03/27/2022

Mugs: A Multi-Granular Self-Supervised Learning Framework

In self-supervised learning, multi-granular features are heavily desired...

Pan Zhou, et al. ∙

research

∙ 03/14/2022

Self-Promoted Supervision for Few-Shot Transformer

The few-shot learning ability of vision transformers (ViTs) is rarely in...

Bowen Dong, et al. ∙

research

∙ 02/21/2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition

The trade-off between robustness and accuracy has been widely studied in...

Tianyu Pang, et al. ∙

research

∙ 02/18/2022

Modern Augmented Reality: Applications, Trends, and Future Directions

Augmented reality (AR) is one of the relatively old, yet trending areas ...

Shervin Minaee, et al. ∙

research

∙ 12/22/2021

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?

The fine-tuning of pre-trained language models has a great success in ma...

Xinhsuai Dong, et al. ∙

research

∙ 12/16/2021

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) tackles the novel class recognition problem by ...

Shiming Chen, et al. ∙

research

∙ 12/09/2021

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

While transformers have shown great potential on video recognition tasks...

Yuxuan Liang, et al. ∙

research

∙ 12/08/2021

Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering

In this work we develop a generalizable and efficient Neural Radiance Fi...

Mingfei Chen, et al. ∙

research

∙ 11/24/2021

Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing

Deep learning based virtual try-on system has achieved some encouraging ...

Yu Liu, et al. ∙

research

∙ 11/22/2021

MetaFormer is Actually What You Need for Vision

Transformers have shown great potential in computer vision tasks. A comm...

Weihao Yu, et al. ∙

research

∙ 11/16/2021

Video Background Music Generation with Controllable Music Transformer

In this work, we address the task of video background music generation. ...

Shangzhe Di, et al. ∙

research

∙ 11/07/2021

Direct Multi-view Multi-person 3D Pose Estimation

We present Multi-view Pose transformer (MvP) for estimating multi-person...

PetsTime, et al. ∙

research

∙ 10/09/2021

Deep Long-Tailed Learning: A Survey

Deep long-tailed learning, one of the most challenging problems in visua...

Yifan Zhang, et al. ∙

research

∙ 09/15/2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers

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

PetsTime, et al. ∙

research

∙ 06/24/2021

VOLO: Vision Outlooker for Visual Recognition

Visual recognition has been dominated by convolutional neural networks (...

Li Yuan, et al. ∙

research

∙ 06/23/2021

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

In this paper, we present Vision Permutator, a conceptually simple and d...

Qibin Hou, et al. ∙

research

∙ 05/26/2021

PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal

In this paper, we address the makeup transfer and removal tasks simultan...

Si Liu, et al. ∙

research

∙ 05/24/2021

Human-centric Relation Segmentation: Dataset and Solution

Vision and language understanding techniques have achieved remarkable pr...

Si Liu, 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...

Li Yuan, et al. ∙

research

∙ 01/11/2021

ORDNet: Capturing Omni-Range Dependencies for Scene Parsing

Learning to capture dependencies between spatial positions is essential ...

Shaofei Huang, 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...

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...

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 ...

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-...

Li Yuan, et al. ∙

research

∙ 09/08/2020

Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior

Nonnegative matrix factorization is usually powerful for learning the "s...

Yan Zhang, et al. ∙

research

∙ 08/25/2020

Learning Target Domain Specific Classifier for Partial Domain Adaptation

Unsupervised domain adaptation (UDA) aims at reducing the distribution d...

Chuan-Xian Ren, et al. ∙

research

∙ 08/23/2020

Dual Adversarial Auto-Encoders for Clustering

As a powerful approach for exploratory data analysis, unsupervised clust...

Pengfei Ge, 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...

Zihang Jiang, et al. ∙

research

∙ 07/31/2020

A Survey on Concept Factorization: From Shallow to Deep Representation Learning

The quality of learned features by representation learning determines th...

Zhao Zhang, et al. ∙

research

∙ 07/05/2020

Rethinking Bottleneck Structure for Efficient Mobile Network Design

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

Zhou Daquan, et al. ∙

research

∙ 06/02/2020

Recapture as You Want

With the increasing prevalence and more powerful camera systems of mobil...

Chen Gao, et al. ∙

research

∙ 03/30/2020

PANDA: Prototypical Unsupervised Domain Adaptation

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

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...

Shang-Hua Gao, et al. ∙

research

∙ 01/23/2020

Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition

Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional N...

Zhao Zhang, et al. ∙

research

∙ 12/30/2019

RC-DARTS: Resource Constrained Differentiable Architecture Search

Recent advances show that Neural Architectural Search (NAS) method is ab...

Xiaojie Jin, et al. ∙

research

∙ 12/29/2019

Very Long Natural Scenery Image Prediction by Outpainting

Comparing to image inpainting, image outpainting receives less attention...

Zongxin Yang, et al. ∙

research

∙ 12/26/2019

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

In this paper, we investigate the robust dictionary learning (DL) to dis...

Jiahuan Ren, et al. ∙

research

∙ 12/25/2019

Asymmetric GAN for Unpaired Image-to-image Translation

Unpaired image-to-image translation problem aims to model the mapping fr...

Yu Li, et al. ∙

research

∙ 12/15/2019

Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks

Convolutional Recurrent Neural Network (CRNN) is a popular network for r...

Zhao Zhang, et al. ∙

research

∙ 12/15/2019

DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking

Single image deraining (SID) is an important and challenging topic in em...

Yanyan Wei, et al. ∙

research

∙ 12/13/2019

Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery

For subspace recovery, most existing low-rank representation (LRR) model...

Xianzhen Li, et al. ∙

research

∙ 12/10/2019

Efficient Differentiable Neural Architecture Search with Meta Kernels

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

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 ...

Chen Gao, et al. ∙

research

∙ 11/20/2019

Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning

In this paper, we propose a structured Robust Adaptive Dic-tionary Pair ...

Yulin Sun, et al. ∙

Shuicheng Yan

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