b'Ya Zhang'

research

∙ 09/13/2023

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training

Magnetic resonance imaging (MRI) have played a crucial role in brain dis...

0 Jiayu Lei, et al. ∙

research

∙ 08/31/2023

Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation

Open-vocabulary semantic segmentation is a challenging task that require...

0 Chaofan Ma, et al. ∙

research

∙ 08/17/2023

Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays

Clinical classification of chest radiography is particularly challenging...

0 Feng Hong, et al. ∙

research

∙ 08/09/2023

Joint-Relation Transformer for Multi-Person Motion Prediction

Multi-person motion prediction is a challenging problem due to the depen...

0 Qingyao Xu, et al. ∙

research

∙ 08/09/2023

Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection

Anomaly detection has gained considerable attention due to its broad ran...

0 Chaoqin Huang, et al. ∙

research

∙ 08/04/2023

Towards Generalist Foundation Model for Radiology

In this study, we aim to initiate the development of Radiology Foundatio...

0 Chaoyi Wu, et al. ∙

research

∙ 08/03/2023

Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning

Class incremental learning (CIL) aims to incrementally update a trained ...

0 Yuhang Zhou, et al. ∙

research

∙ 08/03/2023

Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Electrocardiogram (ECG) is a widely used diagnostic tool for detecting h...

0 Aofan Jiang, et al. ∙

research

∙ 07/25/2023

Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation

The goal of the audio-visual segmentation (AVS) task is to segment the s...

0 Jinxiang Liu, et al. ∙

research

∙ 07/05/2023

Multi-Modal Prototypes for Open-Set Semantic Segmentation

In semantic segmentation, adapting a visual system to novel object categ...

0 Yuhuan Yang, et al. ∙

research

∙ 06/24/2023

Boost Video Frame Interpolation via Motion Adaptation

Video frame interpolation (VFI) is a challenging task that aims to gener...

0 Haoning Wu, et al. ∙

research

∙ 06/15/2023

Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation

The Segmentation Anything Model (SAM) has recently emerged as a foundati...

0 Chuyun Shen, et al. ∙

research

∙ 06/13/2023

Enhanced Multimodal Representation Learning with Cross-modal KD

This paper explores the tasks of leveraging auxiliary modalities which a...

0 Mengxi Chen, et al. ∙

research

∙ 06/12/2023

Zero-shot Composed Text-Image Retrieval

In this paper, we consider the problem of composed image retrieval (CIR)...

2 Yikun Liu, et al. ∙

research

∙ 05/18/2023

Annotation-free Audio-Visual Segmentation

The objective of Audio-Visual Segmentation (AVS) is to localise the soun...

12 Jinxiang Liu, et al. ∙

research

∙ 05/17/2023

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

In this paper, we focus on the problem of Medical Visual Question Answer...

10 Xiaoman Zhang, et al. ∙

research

∙ 05/16/2023

Prompt-Tuning Decision Transformer with Preference Ranking

Prompt-tuning has emerged as a promising method for adapting pre-trained...

0 Shengchao Hu, et al. ∙

research

∙ 04/30/2023

Class-Balancing Diffusion Models

Diffusion-based models have shown the merits of generating high-quality ...

0 Yiming Qin, et al. ∙

research

∙ 04/27/2023

PMC-LLaMA: Further Finetuning LLaMA on Medical Papers

Large Language Models (LLMs) have showcased remarkable capabilities in n...

13 Chaoyi Wu, et al. ∙

research

∙ 03/21/2023

Multi-modal Prompting for Low-Shot Temporal Action Localization

In this paper, we consider the problem of temporal action localization u...

1 Chen Ju, et al. ∙

research

∙ 03/19/2023

Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning

Interactive segmentation has recently been explored to effectively and e...

0 Chaofan Ma, et al. ∙

research

∙ 03/17/2023

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Learning from a large corpus of data, pre-trained models have achieved i...

0 Chaofan Ma, et al. ∙

research

∙ 03/14/2023

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

Mesh generation is of great value in various applications involving comp...

0 Zhaoyang Lyu, et al. ∙

research

∙ 03/13/2023

PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Foundation models trained on large-scale dataset gain a recent surge in ...

3 Weixiong Lin, et al. ∙

research

∙ 03/13/2023

DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration

Blind face restoration usually synthesizes degraded low-quality data wit...

0 Zhixin Wang, et al. ∙

research

∙ 03/07/2023

Graph Decision Transformer

Offline reinforcement learning (RL) is a challenging task, whose objecti...

0 Shengchao Hu, et al. ∙

research

∙ 02/27/2023

Knowledge-enhanced Pre-training for Auto-diagnosis of Chest Radiology Images

Despite of the success of multi-modal foundation models pre-trained on l...

9 Xiaoman Zhang, et al. ∙

research

∙ 02/22/2023

K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging

In this paper, we consider the problem of disease diagnosis. Unlike the ...

2 Chaoyi Wu, et al. ∙

research

∙ 02/20/2023

Constraint and Union for Partially-Supervised Temporal Sentence Grounding

Temporal sentence grounding aims to detect the event timestamps describe...

0 Chen Ju, et al. ∙

research

∙ 02/19/2023

Latent Class-Conditional Noise Model

Learning with noisy labels has become imperative in the Big Data era, wh...

0 Jiangchao Yao, et al. ∙

research

∙ 02/10/2023

Long-Tailed Partial Label Learning via Dynamic Rebalancing

Real-world data usually couples the label ambiguity and heavy imbalance,...

0 Feng Hong, et al. ∙

research

∙ 01/12/2023

Guiding Text-to-Image Diffusion Model Towards Grounded Generation

The goal of this paper is to augment a pre-trained text-to-image diffusi...

0 Ziyi Li, et al. ∙

research

∙ 01/09/2023

Integrating features from lymph node stations for metastatic lymph node detection

Metastasis on lymph nodes (LNs), the most common way of spread for prima...

0 Chaoyi Wu, et al. ∙

research

∙ 01/05/2023

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training

In this paper, we consider the problem of enhancing self-supervised visu...

38 Chaoyi Wu, et al. ∙

research

∙ 12/29/2022

On Transforming Reinforcement Learning by Transformer: The Development Trajectory

Transformer, originally devised for natural language processing, has als...

0 Shengchao Hu, et al. ∙

research

∙ 12/19/2022

Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization

Weakly-supervised temporal action localization (WTAL) learns to detect a...

0 Chen Ju, et al. ∙

research

∙ 12/14/2022

FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation

The statistical heterogeneity of the non-independent and identically dis...

0 Ziqing Fan, et al. ∙

research

∙ 10/27/2022

Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models

When trained at a sufficient scale, self-supervised learning has exhibit...

8 Chaofan Ma, et al. ∙

research

∙ 10/07/2022

A Simple Plugin for Transforming Images to Arbitrary Scales

Existing models on super-resolution often specialized for one scale, fun...

7 Qinye Zhou, et al. ∙

research

∙ 08/20/2022

Transforming the Interactive Segmentation for Medical Imaging

The goal of this paper is to interactively refine the automatic segmenta...

12 Wentao Liu, et al. ∙

research

∙ 07/31/2022

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

Graph convolutional network based methods that model the body-joints' re...

0 Maosen Li, et al. ∙

research

∙ 07/15/2022

Registration based Few-Shot Anomaly Detection

This paper considers few-shot anomaly detection (FSAD), a practical yet ...

0 Chaoqin Huang, et al. ∙

research

∙ 07/11/2022

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

In multi-modal multi-agent trajectory forecasting, two major challenges ...

0 Bohan Tang, et al. ∙

research

∙ 06/27/2022

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning

Demystifying the interactions among multiple agents from their past traj...

0 Chenxin Xu, et al. ∙

research

∙ 06/26/2022

Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation

We present a simple yet effective self-supervised framework for audio-vi...

6 Jinxiang Liu, et al. ∙

research

∙ 06/14/2022

K-Space Transformer for Fast MRI Reconstruction with Implicit Representation

This paper considers the problem of fast MRI reconstruction. We propose ...

4 Ziheng Zhao, et al. ∙

research

∙ 05/25/2022

Contrastive Learning with Boosted Memorization

Self-supervised learning has achieved a great success in the representat...

0 Zhihan Zhou, et al. ∙

research

∙ 05/13/2022

Self-Supervised Masking for Unsupervised Anomaly Detection and Localization

Recently, anomaly detection and localization in multimedia data have rec...

11 Chaoqin Huang, et al. ∙

research

∙ 04/19/2022

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

Demystifying the interactions among multiple agents from their past traj...

0 Chenxin Xu, et al. ∙

research

∙ 12/08/2021

Prompting Visual-Language Models for Efficient Video Understanding

Visual-language pre-training has shown great success for learning joint ...

0 Chen Ju, et al. ∙

Ya Zhang

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