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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...
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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...
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06/21/2023
Continual Learners are Incremental Model Generalizers
Motivated by the efficiency and rapid convergence of pre-trained models ...
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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...
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04/06/2023
SegGPT: Segmenting Everything In Context
We present SegGPT, a generalist model for segmenting everything in conte...
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03/30/2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success...
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03/27/2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Contrastive language-image pre-training, CLIP for short, has gained incr...
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03/20/2023
EVA-02: A Visual Representation for Neon Genesis
We launch EVA-02, a next-generation Transformer-based visual representat...
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03/12/2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
This paper proposes a unified diffusion framework (dubbed UniDiffuser) t...
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02/24/2023
Robot Behavior-Tree-Based Task Generation with Large Language Models
Nowadays, the behavior tree is gaining popularity as a representation fo...
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02/05/2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
A large-scale deep model pre-trained on massive labeled or unlabeled dat...
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12/08/2022
Deep Model Assembling
Large deep learning models have achieved remarkable success in many scen...
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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...
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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...
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11/03/2022
Could Giant Pretrained Image Models Extract Universal Representations?
Frozen pretrained models have become a viable alternative to the pretrai...
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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...
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07/07/2022
Contrastive Information Transfer for Pre-Ranking Systems
Real-word search and recommender systems usually adopt a multi-stage ran...
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06/09/2022
On Data Scaling in Masked Image Modeling
An important goal of self-supervised learning is to enable model pre-tra...
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05/27/2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Masked image modeling (MIM) learns representations with remarkably good ...
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05/26/2022
Revealing the Dark Secrets of Masked Image Modeling
Masked image modeling (MIM) as pre-training is shown to be effective for...
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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...
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04/22/2022
iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition
Image classification, which classifies images by pre-defined categories,...
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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 ...
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03/03/2022
Correlation-Aware Deep Tracking
Robustness and discrimination power are two fundamental requirements in ...
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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...
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01/04/2022
Self-supervised Learning from 100 Million Medical Images
Building accurate and robust artificial intelligence systems for medical...
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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...
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11/18/2021
SimMIM: A Simple Framework for Masked Image Modeling
This paper presents SimMIM, a simple framework for masked image modeling...
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11/18/2021
Swin Transformer V2: Scaling Up Capacity and Resolution
We present techniques for scaling Swin Transformer up to 3 billion param...
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11/04/2021
Bootstrap Your Object Detector via Mixed Training
We introduce MixTraining, a new training paradigm for object detection t...
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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...
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06/24/2021
Video Swin Transformer
The vision community is witnessing a modeling shift from CNNs to Transfo...
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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...
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05/10/2021
Self-Supervised Learning with Swin Transformers
We are witnessing a modeling shift from CNN to Transformers in computer ...
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03/25/2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
This paper presents a new vision Transformer, called Swin Transformer, t...
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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...
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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...
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12/24/2020
Global Context Networks
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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11/19/2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Contrastive learning methods for unsupervised visual representation lear...
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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...
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08/31/2020
Unpaired Learning of Deep Image Denoising
We investigate the task of learning blind image denoising networks from ...
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07/16/2020
RepPoints V2: Verification Meets Regression for Object Detection
Verification and regression are two general methodologies for prediction...
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07/08/2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
The interpretation of medical images is a challenging task, often compli...
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06/25/2020
Parametric Instance Classification for Unsupervised Visual Feature Learning
This paper presents parametric instance classification (PIC) for unsuper...
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06/11/2020
Disentangled Non-Local Neural Networks
The non-local block is a popular module for strengthening the context mo...
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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...
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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...
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03/26/2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
This paper introduces a negative margin loss to metric learning based fe...
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02/13/2020
Cross-Iteration Batch Normalization
A well-known issue of Batch Normalization is its significantly reduced e...
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12/28/2019