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08/23/2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Large-scale well-annotated datasets are of great importance for training...
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06/23/2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
Despite that the segment anything model (SAM) achieved impressive result...
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05/30/2023
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions
Video-grounded dialogue understanding is a challenging problem that requ...
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03/14/2023
Cross-lingual Alzheimer's Disease detection based on paralinguistic and pre-trained features
We present our submission to the ICASSP-SPGC-2023 ADReSS-M Challenge Tas...
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03/12/2023
PointPatchMix: Point Cloud Mixing with Patch Scoring
Data augmentation is an effective regularization strategy for mitigating...
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02/06/2023
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Emotion recognition is essential in the diagnosis and rehabilitation of ...
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11/01/2022
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
Many recent named entity recognition (NER) studies criticize flat NER fo...
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10/13/2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Decoding human visual neural representations is a challenging task with ...
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10/09/2022
Deep Span Representations for Named Entity Recognition
Span-based models are one of the most straightforward methods for named ...
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08/23/2022
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image
The convolutional-based methods provide good segmentation performance in...
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08/23/2022
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
Long-term vertebral fractures severely affect the life quality of patien...
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08/23/2022
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization
In recent years, several works have adopted the convolutional neural net...
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08/23/2022
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Computed tomography (CT) samples with pathological annotations are diffi...
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07/08/2022
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...
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07/01/2022
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
Although deep learning algorithms have been intensively developed for co...
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06/29/2022
The THUEE System Description for the IARPA OpenASR21 Challenge
This paper describes the THUEE team's speech recognition system for the ...
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04/26/2022
Boundary Smoothing for Named Entity Recognition
Neural named entity recognition (NER) models may easily encounter the ov...
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04/18/2022
Benchmarking Domain Generalization on EEG-based Emotion Recognition
Electroencephalography (EEG) based emotion recognition has demonstrated ...
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03/08/2022
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text
Medical information extraction consists of a group of natural language p...
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01/10/2022
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
Pedestrian detection is the cornerstone of many vision based application...
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09/01/2021
Efficient Person Search: An Anchor-Free Approach
Person search aims to simultaneously localize and identify a query perso...
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08/17/2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
Objective and Impact Statement. With the renaissance of deep learning, a...
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08/16/2021
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Most polyp segmentation methods use CNNs as their backbone, leading to t...
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07/16/2021
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
As an essential element for the diagnosis and rehabilitation of psychiat...
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07/14/2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
Locating diseases in chest X-ray images with few careful annotations sav...
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07/10/2021
Local-to-Global Self-Attention in Vision Transformers
Transformers have demonstrated great potential in computer vision tasks....
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06/19/2021
Exploring Visual Context for Weakly Supervised Person Search
Person search has recently emerged as a challenging task that jointly ad...
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05/27/2021
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model
In recent years, significant progress has been made in the research of f...
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02/03/2021
Investigating Critical Risk Factors in Liver Cancer Prediction
We exploit liver cancer prediction model using machine learning algorith...
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01/22/2021
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning
Locating lesions is important in the computer-aided diagnosis of X-ray i...
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03/19/2020
Pedestrian Detection: The Elephant In The Room
Pedestrian detection is used in many vision based applications ranging f...
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04/15/2019
DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors
Traditional neural objection detection methods use multi-scale features ...
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07/27/2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
There are threefold challenges in emotion recognition. First, it is diff...
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04/25/2017