b'Lingxi Xie'

research

∙ 06/14/2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models

The AI community has been pursuing algorithms known as artificial genera...

0 Lingxi Xie, et al. ∙

research

∙ 05/10/2023

Visual Tuning

Fine-tuning visual models has been widely shown promising performance on...

0 Bruce X. B. Yu, et al. ∙

research

∙ 04/24/2023

Segment Anything in 3D with NeRFs

The Segment Anything Model (SAM) has demonstrated its effectiveness in s...

0 Jiazhong Cen, et al. ∙

research

∙ 04/22/2023

Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism

The Mixture of Experts (MoE) model becomes an important choice of large ...

0 Xin Chen, et al. ∙

research

∙ 03/16/2023

Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation

We study unsupervised domain adaptation (UDA) for semantic segmentation....

0 Xinyue Huo, et al. ∙

research

∙ 03/14/2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation

Seed area generation is usually the starting point of weakly supervised ...

0 Zelin Peng, et al. ∙

research

∙ 11/23/2022

Integrally Pre-Trained Transformer Pyramid Networks

In this paper, we present an integral pre-training framework based on ma...

0 Yunjie Tian, et al. ∙

research

∙ 11/03/2022

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

In this paper, we present Pangu-Weather, a deep learning based system fo...

1 Kaifeng Bi, et al. ∙

research

∙ 10/01/2022

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning

Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...

0 Binghao Liu, et al. ∙

research

∙ 08/04/2022

Fine-Grained Semantically Aligned Vision-Language Pre-Training

Large-scale vision-language pre-training has shown impressive advances i...

2 Juncheng Li, et al. ∙

research

∙ 07/31/2022

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

Graph convolutional network based methods that model the body-joints' re...

0 Maosen Li, et al. ∙

research

∙ 07/28/2022

Visual Recognition by Request

In this paper, we present a novel protocol of annotation and evaluation ...

0 Chufeng Tang, et al. ∙

research

∙ 07/23/2022

Active Pointly-Supervised Instance Segmentation

The requirement of expensive annotations is a major burden for training ...

0 Chufeng Tang, et al. ∙

research

∙ 07/04/2022

A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

The rapid development of deep learning has made a great progress in segm...

10 Wei Shen, et al. ∙

research

∙ 05/30/2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

Neural radiance fields (NeRF) have shown great success in modeling 3D sc...

0 Jiemin Fang, et al. ∙

research

∙ 05/30/2022

HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling

Recently, masked image modeling (MIM) has offered a new methodology of s...

0 Xiaosong Zhang, et al. ∙

research

∙ 04/18/2022

CenterNet++ for Object Detection

There are two mainstreams for object detection: top-down and bottom-up. ...

0 Kaiwen Duan, et al. ∙

research

∙ 04/06/2022

Domain-Agnostic Prior for Transfer Semantic Segmentation

Unsupervised domain adaptation (UDA) is an important topic in the comput...

0 Xinyue Huo, et al. ∙

research

∙ 03/27/2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

The past year has witnessed a rapid development of masked image modeling...

0 Yunjie Tian, et al. ∙

research

∙ 03/11/2022

TAPE: Task-Agnostic Prior Embedding for Image Restoration

Learning an generalized prior for natural image restoration is an import...

0 Lin Liu, et al. ∙

research

∙ 03/10/2022

MVP: Multimodality-guided Visual Pre-training

Recently, masked image modeling (MIM) has become a promising direction f...

0 Longhui Wei, et al. ∙

research

∙ 12/05/2021

Exploring Complicated Search Spaces with Interleaving-Free Sampling

The existing neural architecture search algorithms are mostly working on...

0 Yunjie Tian, et al. ∙

research

∙ 11/30/2021

NeuSample: Neural Sample Field for Efficient View Synthesis

Neural radiance fields (NeRF) have shown great potentials in representin...

0 Jiemin Fang, et al. ∙

research

∙ 11/25/2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning

In this paper, we propose a self-supervised visual representation learni...

1 Yunjie Tian, et al. ∙

research

∙ 10/19/2021

CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis

The style-based GAN (StyleGAN) architecture achieved state-of-the-art re...

13 Peng Zhou, et al. ∙

research

∙ 07/16/2021

Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition

Few-Shot image classification aims to utilize pretrained knowledge learn...

8 Xu Luo, et al. ∙

research

∙ 07/04/2021

Bag of Instances Aggregation Boosts Self-supervised Learning

Recent advances in self-supervised learning have experienced remarkable ...

0 Haohang Xu, et al. ∙

research

∙ 06/01/2021

Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task

Recently, self-supervised learning methods have achieved remarkable succ...

0 Longhui Wei, et al. ∙

research

∙ 05/31/2021

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Transformers have offered a new methodology of designing neural networks...

0 Jiemin Fang, et al. ∙

research

∙ 05/28/2021

What Is Considered Complete for Visual Recognition?

This is an opinion paper. We hope to deliver a key message that current ...

0 Lingxi Xie, et al. ∙

research

∙ 05/09/2021

Conformer: Local Features Coupling Global Representations for Visual Recognition

Within Convolutional Neural Network (CNN), the convolution operations ar...

12 Zhiliang Peng, et al. ∙

research

∙ 04/26/2021

Visformer: The Vision-friendly Transformer

The past year has witnessed the rapid development of applying the Transf...

0 Zhengsu Chen, et al. ∙

research

∙ 04/11/2021

Location-Sensitive Visual Recognition with Cross-IOU Loss

Object detection, instance segmentation, and pose estimation are popular...

0 Kaiwen Duan, et al. ∙

research

∙ 03/30/2021

Spatiotemporal Transformer for Video-based Person Re-identification

Recently, the Transformer module has been transplanted from natural lang...

0 Tianyu Zhang, et al. ∙

research

∙ 03/26/2021

MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes

Deepfakes raised serious concerns on the authenticity of visual contents...

0 Zhikai Chen, et al. ∙

research

∙ 12/08/2020

UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification

The main difficulty of person re-identification (ReID) lies in collectin...

0 Tianyu Zhang, et al. ∙

research

∙ 12/04/2020

Hierarchical Semantic Aggregation for Contrastive Representation Learning

Self-supervised learning based on instance discrimination has shown rema...

3 Haohang Xu, et al. ∙

research

∙ 11/28/2020

Batch Normalization with Enhanced Linear Transformation

Batch normalization (BN) is a fundamental unit in modern deep networks, ...

15 Yuhui Xu, et al. ∙

research

∙ 11/26/2020

Omni-GAN: On the Secrets of cGANs and Beyond

It has been an important problem to design a proper discriminator for co...

0 Peng Zhou, et al. ∙

research

∙ 11/19/2020

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

Contrastive learning has achieved great success in self-supervised visua...

5 Xinyue Huo, et al. ∙

research

∙ 11/18/2020

Privileged Knowledge Distillation for Online Action Detection

Online Action Detection (OAD) in videos is proposed as a per-frame label...

0 Peisen Zhao, et al. ∙

research

∙ 11/17/2020

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?

Recently, contrastive learning has largely advanced the progress of unsu...

0 Longhui Wei, et al. ∙

research

∙ 09/14/2020

One-bit Supervision for Image Classification

This paper presents one-bit supervision, a novel setting of learning fro...

0 Hengtong Hu, et al. ∙

research

∙ 08/31/2020

Reinforced Axial Refinement Network for Monocular 3D Object Detection

Monocular 3D object detection aims to extract the 3D position and proper...

2 Lijie Liu, et al. ∙

research

∙ 08/04/2020

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap

Neural architecture search (NAS) has attracted increasing attentions in ...

41 Lingxi Xie, et al. ∙

research

∙ 07/27/2020

Corner Proposal Network for Anchor-free, Two-stage Object Detection

The goal of object detection is to determine the class and location of o...

0 Kaiwen Duan, et al. ∙

research

∙ 07/13/2020

Universal-to-Specific Framework for Complex Action Recognition

Video-based action recognition has recently attracted much attention in ...

0 Peisen Zhao, et al. ∙

research

∙ 07/07/2020

GOLD-NAS: Gradual, One-Level, Differentiable

There has been a large literature of neural architecture search, but mos...

8 Kaifeng Bi, et al. ∙

research

∙ 07/07/2020

Discretization-Aware Architecture Search

The search cost of neural architecture search (NAS) has been largely red...

9 Yunjie Tian, et al. ∙

research

∙ 06/25/2020

Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

Conditional Generative Adversarial Networks (cGAN) were designed to gene...

0 Peng Zhou, et al. ∙

Lingxi Xie

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