research
∙
09/01/2023
Point-Bind Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
share
research
∙
08/23/2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Large-scale well-annotated datasets are of great importance for training...
research
∙
07/26/2023
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation
High-accuracy Dichotomous Image Segmentation (DIS) aims to pinpoint cate...
research
∙
07/16/2023
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
We propose a novel approach for RGB-D salient instance segmentation usin...
research
∙
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...
research
∙
06/23/2023
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
Deep learning (DL)-based rib fracture detection has shown promise of pla...
research
∙
05/30/2023
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images
Convolutional Neural Networks (CNNs) have shown remarkable progress in m...
research
∙
03/21/2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
Semi-supervised learning (SSL) methods assume that labeled data, unlabel...
research
∙
03/17/2023
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
Video dehazing aims to recover haze-free frames with high visibility and...
research
∙
03/12/2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
Trajectory prediction has been a crucial task in building a reliable aut...
research
∙
03/12/2023
PointPatchMix: Point Cloud Mixing with Patch Scoring
Data augmentation is an effective regularization strategy for mitigating...
research
∙
03/06/2023
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction
Attaining the equilibrium state of a catalyst-adsorbate system is key to...
research
∙
03/03/2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Uncertainty estimation is a key factor that makes deep learning reliable...
research
∙
02/27/2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Masked Autoencoders (MAE) have shown promising performance in self-super...
research
∙
12/20/2022
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction
In subcellular biological research, fluorescence staining is a key techn...
research
∙
11/23/2022
Video Instance Shadow Detection
Video instance shadow detection aims to simultaneously detect, segment, ...
research
∙
11/10/2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Automated detecting lung infections from computed tomography (CT) data p...
research
∙
11/09/2022
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening
Contemporary methods have shown promising results on cardiac image segme...
research
∙
09/16/2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
The last decade has witnessed a prosperous development of computational ...
research
∙
09/15/2022
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction
Graph neural networks (GNNs) have drawn more and more attention from mat...
research
∙
08/22/2022
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails
Artificial intelligence has deeply revolutionized the field of medicinal...
research
∙
07/20/2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations
Surgical scene segmentation is fundamentally crucial for prompting cogni...
research
∙
07/11/2022
Instance Shadow Detection with A Single-Stage Detector
This paper formulates a new problem, instance shadow detection, which ai...
research
∙
07/08/2022
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...
research
∙
07/05/2022
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans
Most of the existing object detection works are based on the bounding bo...
research
∙
06/29/2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Domain generalization typically requires data from multiple source domai...
research
∙
05/10/2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
Deep neural networks have achieved remarkable success in a wide variety ...
research
∙
04/07/2022
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery
Automatic laparoscope motion control is fundamentally important for surg...
research
∙
03/30/2022
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Due to the difficulty of collecting exhaustive multi-label annotations, ...
research
∙
03/29/2022
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation
Automatic surgical scene segmentation is fundamental for facilitating co...
research
∙
03/24/2022
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Precise congestion prediction from a placement solution plays a crucial ...
research
∙
03/18/2022
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
Deep learning models were frequently reported to learn from shortcuts li...
research
∙
03/05/2022
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Industrial bin picking is a challenging task that requires accurate and ...
research
∙
02/17/2022
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery
Surgical instrument segmentation – in general a pixel classification tas...
research
∙
11/08/2021
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
We propose a novel shape-aware relation network for accurate and real-ti...
research
∙
11/05/2021
Hepatic vessel segmentation based on 3Dswin-transformer with inductive biased multi-head self-attention
Purpose: Segmentation of liver vessels from CT images is indispensable p...
research
∙
10/09/2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
The backpropagation networks are notably susceptible to catastrophic for...
research
∙
09/30/2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
PURPOSE: Surgical workflow and skill analysis are key technologies for t...
research
∙
09/28/2021
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
Performing a real-time and accurate instrument segmentation from videos ...
research
∙
09/28/2021
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning
This paper presents a self-supervised method for learning reliable visua...
research
∙
09/19/2021
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
Domain adaptation typically requires to access source domain data to uti...
research
∙
09/13/2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Modern deep neural networks struggle to transfer knowledge and generaliz...
research
∙
08/30/2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Autonomous surgical execution relieves tedious routines and surgeon's fa...
research
∙
06/25/2021
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
Fairness in recommendation has attracted increasing attention due to bia...
research
∙
06/16/2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Federated learning (FL) has emerged with increasing popularity to collab...
research
∙
06/09/2021
Point Cloud Upsampling via Disentangled Refinement
Point clouds produced by 3D scanning are often sparse, non-uniform, and ...
research
∙
04/21/2021
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs
Deep learning has demonstrated radiograph screening performances that ar...
research
∙
04/07/2021
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
With availability of huge amounts of labeled data, deep learning has ach...
research
∙
04/07/2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
The novel coronavirus disease 2019 (COVID-19) characterized by atypical ...
research
∙
04/05/2021
