research
∙
09/07/2023
Equivariant Symmetries for Inertial Navigation Systems
This paper investigates the problem of inertial navigation system (INS) ...
share
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...
research
∙
08/20/2023
ViT-Lens: Towards Omni-modal Representations
Though the success of CLIP-based training recipes in vision-language mod...
research
∙
07/16/2023
Planting a SEED of Vision in Large Language Model
We present SEED, an elaborate image tokenizer that empowers Large Langua...
research
∙
06/29/2023
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
This paper introduces DreamDiffusion, a novel method for generating high...
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...
research
∙
06/12/2023
Sticker820K: Empowering Interactive Retrieval with Stickers
Stickers have become a ubiquitous part of modern-day communication, conv...
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...
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....
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...
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...
research
∙
04/06/2023
TagGPT: Large Language Models are Zero-shot Multimodal Taggers
Tags are pivotal in facilitating the effective distribution of multimedi...
research
∙
03/24/2023
Accelerating Vision-Language Pretraining with Free Language Modeling
The state of the arts in vision-language pretraining (VLP) achieves exem...
research
∙
02/17/2023
Binary Embedding-based Retrieval at Tencent
Large-scale embedding-based retrieval (EBR) is the cornerstone of search...
research
∙
01/17/2023
Masked Visual Reconstruction in Language Semantic Space
Both masked image modeling (MIM) and natural language supervision have f...
research
∙
01/16/2023
Modeling Uncertain Feature Representation for Domain Generalization
Though deep neural networks have achieved impressive success on various ...
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...
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...
research
∙
10/13/2022
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
The traditional model upgrading paradigm for retrieval requires recomput...
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...
research
∙
05/19/2022
Masked Image Modeling with Denoising Contrast
Since the development of self-supervised visual representation learning ...
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...
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...
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...
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...
research
∙
03/03/2022
Towards Universal Backward-Compatible Representation Learning
Conventional model upgrades for visual search systems require offline re...
research
∙
02/08/2022
Uncertainty Modeling for Out-of-Distribution Generalization
Though remarkable progress has been achieved in various vision tasks, de...
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 ...
research
∙
01/13/2022
BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions
Pre-training a model to learn transferable video-text representation for...
research
∙
12/05/2021
Dynamic Token Normalization Improves Vision Transformer
Vision Transformer (ViT) and its variants (e.g., Swin, PVT) have achieve...
research
∙
03/14/2021
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Conditional generative adversarial networks (cGANs) target at synthesizi...
research
∙
01/03/2021
Consensus-Guided Correspondence Denoising
Correspondence selection between two groups of feature points aims to co...
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...
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...
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...
research
∙
03/14/2020
Structured Domain Adaptation for Unsupervised Person Re-identification
Unsupervised domain adaptation (UDA) aims at adapting the model trained ...
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...
research
∙
10/06/2018