b'Yue Cao'

research

∙ 08/13/2023

Ground Manipulator Primitive Tasks to Executable Actions using Large Language Models

Layered architectures have been widely used in robot systems. The majori...

0 Yue Cao, et al. ∙

research

∙ 08/01/2023

Cooperative Positioning for Sparsely Distributed High-Mobility Wireless Networks with EKF Based Spatio-Temporal Data Fusion

We propose a distributed cooperative positioning algorithm using the ext...

0 Yue Cao, et al. ∙

research

∙ 06/21/2023

Continual Learners are Incremental Model Generalizers

Motivated by the efficiency and rapid convergence of pre-trained models ...

0 Jaehong Yoon, et al. ∙

research

∙ 05/24/2023

Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions

In recent years, low-carbon transportation has become an indispensable p...

0 Yue Cao, et al. ∙

research

∙ 04/06/2023

SegGPT: Segmenting Everything In Context

We present SegGPT, a generalist model for segmenting everything in conte...

0 Xinlong Wang, et al. ∙

research

∙ 03/30/2023

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Large-scale text-to-image diffusion models achieve unprecedented success...

0 Wen Wang, et al. ∙

research

∙ 03/27/2023

EVA-CLIP: Improved Training Techniques for CLIP at Scale

Contrastive language-image pre-training, CLIP for short, has gained incr...

0 Quan Sun, et al. ∙

research

∙ 03/20/2023

EVA-02: A Visual Representation for Neon Genesis

We launch EVA-02, a next-generation Transformer-based visual representat...

0 Yuxin Fang, et al. ∙

research

∙ 03/12/2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

This paper proposes a unified diffusion framework (dubbed UniDiffuser) t...

0 Fan Bao, et al. ∙

research

∙ 02/24/2023

Robot Behavior-Tree-Based Task Generation with Large Language Models

Nowadays, the behavior tree is gaining popularity as a representation fo...

0 Yue Cao, et al. ∙

research

∙ 02/05/2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

A large-scale deep model pre-trained on massive labeled or unlabeled dat...

0 Chenyu Zheng, et al. ∙

research

∙ 12/08/2022

Deep Model Assembling

Large deep learning models have achieved remarkable success in many scen...

0 Zanlin Ni, et al. ∙

research

∙ 12/05/2022

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

In-context learning, as a new paradigm in NLP, allows the model to rapid...

0 Xinlong Wang, et al. ∙

research

∙ 11/14/2022

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

We launch EVA, a vision-centric foundation model to explore the limits o...

0 Yuxin Fang, et al. ∙

research

∙ 11/03/2022

Could Giant Pretrained Image Models Extract Universal Representations?

Frozen pretrained models have become a viable alternative to the pretrai...

0 Yutong Lin, et al. ∙

research

∙ 09/25/2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models

Vision transformers (ViT) have shown promise in various vision tasks inc...

0 Fan Bao, et al. ∙

research

∙ 07/07/2022

Contrastive Information Transfer for Pre-Ranking Systems

Real-word search and recommender systems usually adopt a multi-stage ran...

0 Yue Cao, et al. ∙

research

∙ 06/09/2022

On Data Scaling in Masked Image Modeling

An important goal of self-supervised learning is to enable model pre-tra...

29 Zhenda Xie, et al. ∙

research

∙ 05/27/2022

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Masked image modeling (MIM) learns representations with remarkably good ...

4 Yixuan Wei, et al. ∙

research

∙ 05/26/2022

Revealing the Dark Secrets of Masked Image Modeling

Masked image modeling (MIM) as pre-training is shown to be effective for...

0 Zhenda Xie, et al. ∙

research

∙ 05/20/2022

Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction

Rich user behavior data has been proven to be of great value for Click-T...

0 Yue Cao, et al. ∙

research

∙ 04/22/2022

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition

Image classification, which classifies images by pre-defined categories,...

2 Yixuan Wei, et al. ∙

research

∙ 04/19/2022

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

Full-reference (FR) image quality assessment (IQA) evaluates the visual ...

0 Yue Cao, et al. ∙

research

∙ 03/03/2022

Correlation-Aware Deep Tracking

Robustness and discrimination power are two fundamental requirements in ...

0 Fei Xie, et al. ∙

research

∙ 02/04/2022

Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation

Studies show that developers' answers to the mobile app users' feedbacks...

0 Yue Cao, et al. ∙

research

∙ 01/04/2022

Self-supervised Learning from 100 Million Medical Images

Building accurate and robust artificial intelligence systems for medical...

462 Florin C. Ghesu, et al. ∙

research

∙ 12/29/2021

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model

Recently, zero-shot image classification by vision-language pre-training...

10 Mengde Xu, et al. ∙

research

∙ 11/18/2021

SimMIM: A Simple Framework for Masked Image Modeling

This paper presents SimMIM, a simple framework for masked image modeling...

0 Zhenda Xie, et al. ∙

research

∙ 11/18/2021

Swin Transformer V2: Scaling Up Capacity and Resolution

We present techniques for scaling Swin Transformer up to 3 billion param...

0 Ze Liu, et al. ∙

research

∙ 11/04/2021

Bootstrap Your Object Detector via Mixed Training

We introduce MixTraining, a new training paradigm for object detection t...

29 Mengde Xu, et al. ∙

research

∙ 09/23/2021

Learning-Based Path Planning for Long-Range Autonomous Valet Parking

In this paper, to reduce the congestion rate at the city center and incr...

0 Muhammad Khalid, et al. ∙

research

∙ 06/24/2021

Video Swin Transformer

The vision community is witnessing a modeling shift from CNNs to Transfo...

0 Ze Liu, et al. ∙

research

∙ 06/24/2021

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

Designing novel protein sequences for a desired 3D topological fold is a...

12 Yue Cao, et al. ∙

research

∙ 05/10/2021

Self-Supervised Learning with Swin Transformers

We are witnessing a modeling shift from CNN to Transformers in computer ...

0 Zhenda Xie, et al. ∙

research

∙ 03/25/2021

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

This paper presents a new vision Transformer, called Swin Transformer, t...

0 Ze Liu, et al. ∙

research

∙ 03/18/2021

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

The success of deep denoisers on real-world color photographs usually re...

0 Yue Cao, et al. ∙

research

∙ 01/21/2021

ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation

We propose ParaSCI, the first large-scale paraphrase dataset in the scie...

0 Qingxiu Dong, et al. ∙

research

∙ 12/24/2020

Global Context Networks

The Non-Local Network (NLNet) presents a pioneering approach for capturi...

11 Yue Cao, et al. ∙

research

∙ 11/19/2020

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Contrastive learning methods for unsupervised visual representation lear...

0 Zhenda Xie, et al. ∙

research

∙ 10/23/2020

Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising

Recent years have witnessed the great success of deep convolutional neur...

0 Yali Peng, et al. ∙

research

∙ 08/31/2020

Unpaired Learning of Deep Image Denoising

We investigate the task of learning blind image denoising networks from ...

10 Xiaohe Wu, et al. ∙

research

∙ 07/16/2020

RepPoints V2: Verification Meets Regression for Object Detection

Verification and regression are two general methodologies for prediction...

10 Yihong Chen, et al. ∙

research

∙ 07/08/2020

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

The interpretation of medical images is a challenging task, often compli...

27 Florin C. Ghesu, et al. ∙

research

∙ 06/25/2020

Parametric Instance Classification for Unsupervised Visual Feature Learning

This paper presents parametric instance classification (PIC) for unsuper...

19 Yue Cao, et al. ∙

research

∙ 06/11/2020

Disentangled Non-Local Neural Networks

The non-local block is a popular module for strengthening the context mo...

0 Minghao Yin, et al. ∙

research

∙ 05/08/2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

This paper reviews the NTIRE 2020 challenge on real image denoising with...

25 Abdelrahman Abdelhamed, et al. ∙

research

∙ 03/26/2020

Memory Enhanced Global-Local Aggregation for Video Object Detection

How do humans recognize an object in a piece of video? Due to the deteri...

4 Yihong Chen, et al. ∙

research

∙ 03/26/2020

Negative Margin Matters: Understanding Margin in Few-shot Classification

This paper introduces a negative margin loss to metric learning based fe...

5 Bin Liu, et al. ∙

research

∙ 02/13/2020

Cross-Iteration Batch Normalization

A well-known issue of Batch Normalization is its significantly reduced e...

0 Zhuliang Yao, et al. ∙

research

∙ 12/28/2019

Energy-based Graph Convolutional Networks for Scoring Protein Docking Models

Structural information about protein-protein interactions, often missing...

0 Yue Cao, et al. ∙

Yue Cao

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