b'Rui Zhao'

research

∙ 09/14/2023

Hybrid Attention-based Encoder-decoder Model for Efficient Language Model Adaptation

Attention-based encoder-decoder (AED) speech recognition model has been ...

0 Shaoshi Ling, et al. ∙

research

∙ 08/15/2023

Link-Context Learning for Multimodal LLMs

The ability to learn from context with novel concepts, and deliver appro...

0 Yan Tai, et al. ∙

research

∙ 08/11/2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

Current deep networks are very data-hungry and benefit from training on ...

0 Weijia Wu, et al. ∙

research

∙ 08/11/2023

Zero-shot Text-driven Physically Interpretable Face Editing

This paper proposes a novel and physically interpretable method for face...

0 Yapeng Meng, et al. ∙

research

∙ 08/07/2023

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents

With recent advancements in natural language processing, Large Language ...

0 Jingqing Ruan, et al. ∙

research

∙ 08/03/2023

Automated Machine Learning in the smart construction era:Significance and accessibility for industrial classification and regression tasks

This paper explores the application of automated machine learning (AutoM...

0 Rui Zhao, et al. ∙

research

∙ 08/01/2023

Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities

Person clustering with multi-modal clues, including faces, bodies, and v...

0 Kaijian Liu, et al. ∙

research

∙ 07/24/2023

Exposing the Troublemakers in Described Object Detection

Detecting objects based on language descriptions is a popular task that ...

0 Chi Xie, et al. ∙

research

∙ 07/12/2023

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera

Efficiently selecting an appropriate spike stream data length to extract...

0 Lujie Xia, et al. ∙

research

∙ 06/27/2023

Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

In human conversations, individuals can indicate relevant regions within...

0 Keqin Chen, et al. ∙

research

∙ 06/26/2023

Long-living Service for Cooperative Knowledge Use in Decentralized Data Stores

Personal Data Stores (PDS) like SoLiD is an emerging data and knowledge ...

0 Rui Zhao, et al. ∙

research

∙ 06/23/2023

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning

We propose ADCLR: A ccurate and D ense Contrastive Representation Learni...

0 Shaofeng Zhang, et al. ∙

research

∙ 06/15/2023

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Recent text-to-image generative models can generate high-fidelity images...

0 Xiaoshi Wu, et al. ∙

research

∙ 06/13/2023

Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions

Human intelligence can retrieve any person according to both visual and ...

0 Weizhen He, et al. ∙

research

∙ 06/12/2023

Dynamic Causal Graph Convolutional Network for Traffic Prediction

Modeling complex spatiotemporal dependencies in correlated traffic serie...

0 Junpeng Lin, et al. ∙

research

∙ 06/12/2023

Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping

Correlated time series analysis plays an important role in many real-wor...

0 Luxuan Wang, et al. ∙

research

∙ 06/05/2023

MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis

This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...

0 Tian Lan, et al. ∙

research

∙ 06/03/2023

Balancing Logit Variation for Long-tailed Semantic Segmentation

Semantic segmentation usually suffers from a long-tail data distribution...

0 Yuchao Wang, 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

∙ 05/29/2023

3D Model-based Zero-Shot Pose Estimation Pipeline

Most existing learning-based pose estimation methods are typically devel...

0 Jianqiu Chen, et al. ∙

research

∙ 05/29/2023

Deeply Coupled Cross-Modal Prompt Learning

Recent advancements in multimodal foundation models (e.g., CLIP) have ex...

0 Xuejing Liu, et al. ∙

research

∙ 05/21/2023

Advancing Referring Expression Segmentation Beyond Single Image

Referring Expression Segmentation (RES) is a widely explored multi-modal...

0 Yixuan Wu, et al. ∙

research

∙ 05/13/2023

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems

Asynchronous action coordination presents a pervasive challenge in Multi...

0 Bin Zhang, et al. ∙

research

∙ 03/25/2023

Better Aligning Text-to-Image Models with Human Preference

Recent years have witnessed a rapid growth of deep generative models, wi...

0 Xiaoshi Wu, et al. ∙

research

∙ 03/24/2023

MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal

Currently, most adverse weather removal tasks are handled independently,...

0 Yulin Luo, et al. ∙

research

∙ 03/23/2023

Explore the Power of Synthetic Data on Few-shot Object Detection

Few-shot object detection (FSOD) aims to expand an object detector for n...

0 Shaobo Lin, et al. ∙

research

∙ 03/23/2023

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching

Open-vocabulary detection (OVD) is an object detection task aiming at de...

0 Xiaoshi Wu, et al. ∙

research

∙ 03/21/2023

SpikeCV: Open a Continuous Computer Vision Era

SpikeCV is a new open-source computer vision platform for the spike came...

0 Yajing Zheng, et al. ∙

research

∙ 03/15/2023

SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers

Self-supervised pre-training and transformer-based networks have signifi...

0 Guoqiang Jin, et al. ∙

research

∙ 03/10/2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

Human-centric perceptions include a variety of vision tasks, which have ...

0 Shixiang Tang, et al. ∙

research

∙ 03/06/2023

UniHCP: A Unified Model for Human-Centric Perceptions

Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...

0 Yuanzheng Ci, et al. ∙

research

∙ 03/02/2023

Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation

Recent popular Role-Playing Games (RPGs) saw the great success of charac...

0 Rui Zhao, et al. ∙

research

∙ 02/28/2023

An Effective Crop-Paste Pipeline for Few-shot Object Detection

Few-shot object detection (FSOD) aims to expand an object detector for n...

0 Shaobo Lin, et al. ∙

research

∙ 02/28/2023

Efficient Masked Autoencoders with Self-Consistency

Inspired by masked language modeling (MLM) in natural language processin...

0 Zhaowen Li, et al. ∙

research

∙ 02/22/2023

Saliency Guided Contrastive Learning on Scene Images

Self-supervised learning holds promise in leveraging large numbers of un...

0 Meilin Chen, et al. ∙

research

∙ 01/26/2023

Explore the Power of Dropout on Few-shot Learning

The generalization power of the pre-trained model is the key for few-sho...

0 Shaobo Lin, et al. ∙

research

∙ 12/30/2022

Transformer in Transformer as Backbone for Deep Reinforcement Learning

Designing better deep networks and better reinforcement learning (RL) al...

0 Hangyu Mao, et al. ∙

research

∙ 12/05/2022

Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models

Neural transducer is now the most popular end-to-end model for speech re...

0 Rui Zhao, et al. ∙

research

∙ 12/03/2022

Exploring Stochastic Autoregressive Image Modeling for Visual Representation

Autoregressive language modeling (ALM) have been successfully used in se...

0 Yu Qi, et al. ∙

research

∙ 11/27/2022

PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets

Much of named entity recognition (NER) research focuses on developing da...

0 Jinghui Lu, et al. ∙

research

∙ 11/25/2022

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Visual anomaly detection plays a crucial role in not only manufacturing ...

0 Tianpeng Bao, et al. ∙

research

∙ 11/17/2022

LongFNT: Long-form Speech Recognition with Factorized Neural Transducer

Traditional automatic speech recognition (ASR) systems usually focus on ...

0 Xun Gong, et al. ∙

research

∙ 10/20/2022

Uni6Dv3: 5D Anchor Mechanism for 6D Pose Estimation

Unlike indirect methods that usually require time-consuming post-process...

0 Jianqiu Chen, et al. ∙

research

∙ 10/12/2022

A Unified Framework with Meta-dropout for Few-shot Learning

Conventional training of deep neural networks usually requires a substan...

0 Shaobo Lin, et al. ∙

research

∙ 10/08/2022

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Contrastive learning methods achieve state-of-the-art results in unsuper...

0 Zhenyu Mao, et al. ∙

research

∙ 09/30/2022

What Makes Pre-trained Language Models Better Zero/Few-shot Learners?

In this paper, we propose a theoretical framework to explain the efficac...

0 Jinghui Lu, et al. ∙

research

∙ 09/28/2022

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

Visual tasks vary a lot in their output formats and concerned contents, ...

0 Zhiyang Chen, et al. ∙

research

∙ 09/28/2022

High-order accurate multi-sub-step implicit integration algorithms with dissipation control for second-order hyperbolic problems

This paper develops an implicit family of sub-step integration algorithm...

0 Jinze Li, et al. ∙

research

∙ 09/15/2022

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

Self-training has shown great potential in semi-supervised learning. Its...

0 Ye Du, et al. ∙

research

∙ 09/14/2022

Jointly Contrastive Representation Learning on Road Network and Trajectory

Road network and trajectory representation learning are essential for tr...

0 Zhenyu Mao, et al. ∙

Rui Zhao

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