b'Yixiao Ge'

research

∙ 09/07/2023

Equivariant Symmetries for Inertial Navigation Systems

This paper investigates the problem of inertial navigation system (INS) ...

0 Alessandro Fornasier, et al. ∙

research

∙ 08/29/2023

Exploring Model Transferability through the Lens of Potential Energy

Transfer learning has become crucial in computer vision tasks due to the...

0 Xiaotong Li, et al. ∙

research

∙ 08/20/2023

ViT-Lens: Towards Omni-modal Representations

Though the success of CLIP-based training recipes in vision-language mod...

0 Weixian Lei, et al. ∙

research

∙ 07/16/2023

Planting a SEED of Vision in Large Language Model

We present SEED, an elaborate image tokenizer that empowers Large Langua...

0 Yuying Ge, et al. ∙

research

∙ 06/29/2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

This paper introduces DreamDiffusion, a novel method for generating high...

0 Yunpeng Bai, et al. ∙

research

∙ 06/22/2023

TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter

Visual foundation models like CLIP excel in learning feature representat...

0 Binjie Zhang, et al. ∙

research

∙ 06/12/2023

Sticker820K: Empowering Interactive Retrieval with Stickers

Stickers have become a ubiquitous part of modern-day communication, conv...

7 Sijie Zhao, et al. ∙

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...

10 Yuchao Gu, et al. ∙

research

∙ 05/23/2023

TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale

The ultimate goal for foundation models is realizing task-agnostic, i.e....

3 Ziyun Zeng, et al. ∙

research

∙ 05/20/2023

What Makes for Good Visual Tokenizers for Large Language Models?

We empirically investigate proper pre-training methods to build good vis...

0 Guangzhi Wang, et al. ∙

research

∙ 04/27/2023

π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation

Foundation models have achieved great advances in multi-task learning wi...

12 Chengyue Wu, et al. ∙

research

∙ 04/06/2023

TagGPT: Large Language Models are Zero-shot Multimodal Taggers

Tags are pivotal in facilitating the effective distribution of multimedi...

0 Chen Li, et al. ∙

research

∙ 03/24/2023

Accelerating Vision-Language Pretraining with Free Language Modeling

The state of the arts in vision-language pretraining (VLP) achieves exem...

2 Teng Wang, et al. ∙

research

∙ 02/17/2023

Binary Embedding-based Retrieval at Tencent

Large-scale embedding-based retrieval (EBR) is the cornerstone of search...

4 Yukang Gan, et al. ∙

research

∙ 01/17/2023

Masked Visual Reconstruction in Language Semantic Space

Both masked image modeling (MIM) and natural language supervision have f...

8 Shusheng Yang, et al. ∙

research

∙ 01/16/2023

Modeling Uncertain Feature Representation for Domain Generalization

Though deep neural networks have achieved impressive success on various ...

7 Xiaotong Li, et al. ∙

research

∙ 12/22/2022

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

To reproduce the success of text-to-image (T2I) generation, recent works...

3 Jay Zhangjie Wu, et al. ∙

research

∙ 12/06/2022

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis

Vector-Quantized (VQ-based) generative models usually consist of two bas...

6 Yuchao Gu, et al. ∙

research

∙ 10/13/2022

Darwinian Model Upgrades: Model Evolving with Selective Compatibility

The traditional model upgrading paradigm for retrieval requires recomput...

12 Binjie Zhang, et al. ∙

research

∙ 07/07/2022

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space

This paper addresses an important problem of ranking the pre-trained dee...

0 Wenqi Shao, et al. ∙

research

∙ 05/19/2022

Masked Image Modeling with Denoising Contrast

Since the development of self-supervised visual representation learning ...

13 Kun Yi, et al. ∙

research

∙ 04/29/2022

Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval

The task of privacy-preserving model upgrades in image retrieval desires...

5 Shupeng Su, et al. ∙

research

∙ 04/26/2022

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval

Dominant pre-training work for video-text retrieval mainly adopt the "du...

1 Yuying Ge, et al. ∙

research

∙ 04/06/2022

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

We present an approach to efficiently and effectively adapt a masked ima...

14 Yuxin Fang, et al. ∙

research

∙ 03/29/2022

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training

Image BERT pre-training with masked image modeling (MIM) becomes a popul...

3 Xiaotong Li, et al. ∙

research

∙ 03/03/2022

Towards Universal Backward-Compatible Representation Learning

Conventional model upgrades for visual search systems require offline re...

6 Binjie Zhang, et al. ∙

research

∙ 02/08/2022

Uncertainty Modeling for Out-of-Distribution Generalization

Though remarkable progress has been achieved in various vision tasks, de...

13 Xiaotong Li, et al. ∙

research

∙ 01/24/2022

Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval

The task of hot-refresh model upgrades of image retrieval systems plays ...

3 Binjie Zhang, et al. ∙

research

∙ 01/13/2022

BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions

Pre-training a model to learn transferable video-text representation for...

6 Yuying Ge, et al. ∙

research

∙ 12/05/2021

Dynamic Token Normalization Improves Vision Transformer

Vision Transformer (ViT) and its variants (e.g., Swin, PVT) have achieve...

13 Wenqi Shao, et al. ∙

research

∙ 03/14/2021

DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

Conditional generative adversarial networks (cGANs) target at synthesizi...

4 Rui Liu, et al. ∙

research

∙ 01/03/2021

Consensus-Guided Correspondence Denoising

Correspondence selection between two groups of feature points aims to co...

2 Chen Zhao, et al. ∙

research

∙ 08/24/2020

Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID

In this technical report, we present our submission to the VisDA Challen...

2 Yixiao Ge, et al. ∙

research

∙ 06/06/2020

Self-supervising Fine-grained Region Similarities for Large-scale Image Localization

The task of large-scale retrieval-based image localization is to estimat...

16 Yixiao Ge, et al. ∙

research

∙ 06/04/2020

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

Domain adaptive object re-ID aims to transfer the learned knowledge from...

16 Yixiao Ge, et al. ∙

research

∙ 03/14/2020

Structured Domain Adaptation for Unsupervised Person Re-identification

Unsupervised domain adaptation (UDA) aims at adapting the model trained ...

13 Yixiao Ge, et al. ∙

research

∙ 01/06/2020

Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

Person re-identification (re-ID) aims at identifying the same persons' i...

0 Yixiao Ge, et al. ∙

research

∙ 10/06/2018

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification

Person re-identification (reID) is an important task that requires to re...

0 Yixiao Ge, et al. ∙

Yixiao Ge

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