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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...
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08/31/2023
Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
Open-vocabulary semantic segmentation is a challenging task that require...
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08/17/2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Clinical classification of chest radiography is particularly challenging...
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08/09/2023
Joint-Relation Transformer for Multi-Person Motion Prediction
Multi-person motion prediction is a challenging problem due to the depen...
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08/09/2023
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection
Anomaly detection has gained considerable attention due to its broad ran...
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08/04/2023
Towards Generalist Foundation Model for Radiology
In this study, we aim to initiate the development of Radiology Foundatio...
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08/03/2023
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
Class incremental learning (CIL) aims to incrementally update a trained ...
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08/03/2023
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
Electrocardiogram (ECG) is a widely used diagnostic tool for detecting h...
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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...
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07/05/2023
Multi-Modal Prototypes for Open-Set Semantic Segmentation
In semantic segmentation, adapting a visual system to novel object categ...
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06/24/2023
Boost Video Frame Interpolation via Motion Adaptation
Video frame interpolation (VFI) is a challenging task that aims to gener...
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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...
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06/13/2023
Enhanced Multimodal Representation Learning with Cross-modal KD
This paper explores the tasks of leveraging auxiliary modalities which a...
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06/12/2023
Zero-shot Composed Text-Image Retrieval
In this paper, we consider the problem of composed image retrieval (CIR)...
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05/18/2023
Annotation-free Audio-Visual Segmentation
The objective of Audio-Visual Segmentation (AVS) is to localise the soun...
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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...
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05/16/2023
Prompt-Tuning Decision Transformer with Preference Ranking
Prompt-tuning has emerged as a promising method for adapting pre-trained...
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04/30/2023
Class-Balancing Diffusion Models
Diffusion-based models have shown the merits of generating high-quality ...
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04/27/2023
PMC-LLaMA: Further Finetuning LLaMA on Medical Papers
Large Language Models (LLMs) have showcased remarkable capabilities in n...
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03/21/2023
Multi-modal Prompting for Low-Shot Temporal Action Localization
In this paper, we consider the problem of temporal action localization u...
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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...
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03/17/2023
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
Learning from a large corpus of data, pre-trained models have achieved i...
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03/14/2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Mesh generation is of great value in various applications involving comp...
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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 ...
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03/13/2023
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
Blind face restoration usually synthesizes degraded low-quality data wit...
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03/07/2023
Graph Decision Transformer
Offline reinforcement learning (RL) is a challenging task, whose objecti...
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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...
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02/22/2023
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging
In this paper, we consider the problem of disease diagnosis. Unlike the ...
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02/20/2023
Constraint and Union for Partially-Supervised Temporal Sentence Grounding
Temporal sentence grounding aims to detect the event timestamps describe...
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02/19/2023
Latent Class-Conditional Noise Model
Learning with noisy labels has become imperative in the Big Data era, wh...
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02/10/2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Real-world data usually couples the label ambiguity and heavy imbalance,...
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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...
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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...
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01/05/2023
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training
In this paper, we consider the problem of enhancing self-supervised visu...
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12/29/2022
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Transformer, originally devised for natural language processing, has als...
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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...
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12/14/2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
The statistical heterogeneity of the non-independent and identically dis...
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10/27/2022
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models
When trained at a sufficient scale, self-supervised learning has exhibit...
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10/07/2022
A Simple Plugin for Transforming Images to Arbitrary Scales
Existing models on super-resolution often specialized for one scale, fun...
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08/20/2022
Transforming the Interactive Segmentation for Medical Imaging
The goal of this paper is to interactively refine the automatic segmenta...
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07/31/2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
Graph convolutional network based methods that model the body-joints' re...
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07/15/2022
Registration based Few-Shot Anomaly Detection
This paper considers few-shot anomaly detection (FSAD), a practical yet ...
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07/11/2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
In multi-modal multi-agent trajectory forecasting, two major challenges ...
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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...
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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...
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06/14/2022
K-Space Transformer for Fast MRI Reconstruction with Implicit Representation
This paper considers the problem of fast MRI reconstruction. We propose ...
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05/25/2022
Contrastive Learning with Boosted Memorization
Self-supervised learning has achieved a great success in the representat...
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05/13/2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
Recently, anomaly detection and localization in multimedia data have rec...
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04/19/2022
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
Demystifying the interactions among multiple agents from their past traj...
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12/08/2021
