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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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09/05/2023
An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models
Large language models (LLMs) have achieved significant success in intera...
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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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08/20/2023
LibriSQA: Advancing Free-form and Open-ended Spoken Question Answering with a Novel Dataset and Framework
While Large Language Models (LLMs) have demonstrated commendable perform...
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08/17/2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Exploring spatial-temporal dependencies from observed motions is one of ...
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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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07/07/2023
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
Current mainstream vision-language (VL) tracking framework consists of t...
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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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06/12/2023
Zero-shot Composed Text-Image Retrieval
In this paper, we consider the problem of composed image retrieval (CIR)...
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06/09/2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Image compression aims to reduce the information redundancy in images. M...
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05/30/2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
This work considers the category distribution heterogeneity in federated...
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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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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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03/23/2023
Collaboration Helps Camera Overtake LiDAR in 3D Detection
Camera-only 3D detection provides an economical solution with a simple c...
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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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03/20/2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
To model the indeterminacy of human behaviors, stochastic trajectory pre...
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03/20/2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Learning to predict agent motions with relationship reasoning is importa...
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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
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
Vision-centric joint perception and prediction (PnP) has become an emerg...
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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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03/13/2023
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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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
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition
Multimodal emotion recognition is a challenging research area that aims ...
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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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12/19/2022
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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11/14/2022
Robust Collaborative 3D Object Detection in Presence of Pose Errors
Collaborative 3D object detection exploits information exchange among mu...
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10/31/2022
Unrolled Graph Learning for Multi-Agent Collaboration
Multi-agent learning has gained increasing attention to tackle distribut...
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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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10/18/2022
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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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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08/23/2022
Low-Light Video Enhancement with Synthetic Event Guidance
Low-light video enhancement (LLVE) is an important yet challenging task ...
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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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07/11/2022
Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition
The research and applications of multimodal emotion recognition have bec...
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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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02/01/2022