b'Qi Dou'

research

∙ 09/03/2023

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Colonoscopy analysis, particularly automatic polyp segmentation and dete...

0 Yuhao Du, et al. ∙

research

∙ 09/02/2023

Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries

Accurate segmentation of surgical instrument tip is an important task fo...

0 Jiaqi Liu, et al. ∙

research

∙ 08/10/2023

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

One critical challenge in 6D object pose estimation from a single RGBD i...

0 Jun Zhou, et al. ∙

research

∙ 07/31/2023

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

Reinforcement learning is still struggling with solving long-horizon sur...

0 Tao Huang, et al. ∙

research

∙ 07/24/2023

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Intracerebral hemorrhage (ICH) is the second most common and deadliest f...

0 Wenao Ma, et al. ∙

research

∙ 06/29/2023

Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

Foundation models have exhibited remarkable success in various applicati...

0 Zhao Wang, et al. ∙

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...

0 Shizhan Gong, et al. ∙

research

∙ 05/30/2023

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation

This paper presents an effective and general data augmentation framework...

0 Zeju Li, et al. ∙

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...

0 Yang Yu, et al. ∙

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...

0 Jiaqi Xu, et al. ∙

research

∙ 03/07/2023

End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning

Needle picking is a challenging surgical task in robot-assisted surgery ...

0 Hongbin Lin, et al. ∙

research

∙ 03/05/2023

Two-Stage Grasping: A New Bin Picking Framework for Small Objects

This paper proposes a novel bin picking framework, two-stage grasping, a...

0 Hanwen Cao, et al. ∙

research

∙ 02/26/2023

Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning

Recent advancements toward perception and decision-making of flexible en...

0 Yiang Lu, et al. ∙

research

∙ 02/24/2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification

Histopathological tissue classification is a fundamental task in computa...

0 Tianpeng Deng, et al. ∙

research

∙ 02/20/2023

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Task automation of surgical robot has the potentials to improve surgical...

0 Tao Huang, et al. ∙

research

∙ 01/19/2023

RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes

Radiance fields have gradually become a main representation of media. Al...

0 Bingchen Gong, et al. ∙

research

∙ 01/04/2023

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations

Mitigating the discrimination of machine learning models has gained incr...

18 Wenlong Deng, et al. ∙

research

∙ 01/01/2023

Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning

Surgical robot automation has attracted increasing research interest ove...

15 Yonghao Long, et al. ∙

research

∙ 01/01/2023

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

Brain midline shift (MLS) is one of the most critical factors to be cons...

0 Shizhan Gong, et al. ∙

research

∙ 11/27/2022

Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction

Estimating precise metric depth and scene reconstruction from monocular ...

0 Ruofeng Wei, et al. ∙

research

∙ 11/03/2022

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS

Most existing methods for category-level pose estimation rely on object ...

0 Kai Chen, et al. ∙

research

∙ 10/04/2022

Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study

Learning high-performance deep neural networks for dynamic modeling of h...

0 Hongbin Lin, et al. ∙

research

∙ 09/12/2022

Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments

In this paper, we present a novel and generic data-driven method to serv...

0 Yiang Lu, et al. ∙

research

∙ 08/03/2022

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Computer-assisted minimally invasive surgery has great potential in bene...

19 Ziyi Wang, et al. ∙

research

∙ 07/20/2022

Tackling Long-Tailed Category Distribution Under Domain Shifts

Machine learning models fail to perform well on real-world applications ...

18 Xiao Gu, et al. ∙

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...

4 Yang Yu, et al. ∙

research

∙ 07/02/2022

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Class distribution plays an important role in learning deep classifiers....

4 Wenao Ma, et al. ∙

research

∙ 06/30/2022

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Reconstruction of the soft tissues in robotic surgery from endoscopic st...

19 Yuehao Wang, et al. ∙

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...

17 Quande Liu, et al. ∙

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 ...

23 Cheng Xue, et al. ∙

research

∙ 04/14/2022

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking

In this paper, we propose an iterative self-training framework for sim-t...

4 Kai Chen, et al. ∙

research

∙ 04/13/2022

Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in

Despite the remarkable success on medical image analysis with deep learn...

9 Wenao Ma, et al. ∙

research

∙ 04/09/2022

Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction

With the growing popularity of robotic surgery, education becomes increa...

54 Yonghao Long, et al. ∙

research

∙ 04/07/2022

Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients

Supervised federated learning (FL) enables multiple clients to share the...

25 Nan Lu, et al. ∙

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...

0 Bin Li, et al. ∙

research

∙ 03/26/2022

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution

Magnetic resonance imaging (MRI) can present multi-contrast images of th...

11 Guangyuan Li, et al. ∙

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 ...

9 Yidan Feng, et al. ∙

research

∙ 02/11/2022

PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?

This paper presents the design and results of the "PEg TRAnsfert Workflo...

7 Arnaud Huaulmé, et al. ∙

research

∙ 01/02/2022

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario

The demand of competent robot assisted surgeons is progressively expandi...

21 Yonghao Long, et al. ∙

research

∙ 12/20/2021

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

Multiple medical institutions collaboratively training a model using fed...

30 Meirui Jiang, et al. ∙

research

∙ 10/08/2021

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery

The computation of anatomical information and laparoscope position is a ...

5 Ruofeng Wei, et al. ∙

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...

10 Martin Wagner, et al. ∙

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...

10 Cheng Chen, et al. ∙

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...

15 Jiaqi Xu, et al. ∙

research

∙ 08/19/2021

Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks

Category-level 6D pose estimation, aiming to predict the location and or...

5 Jiaze Wang, et al. ∙

research

∙ 07/01/2021

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Reconstructing the scene of robotic surgery from the stereo endoscopic v...

35 Yonghao Long, et al. ∙

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...

5 Quande Liu, et al. ∙

research

∙ 04/05/2021

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation

The superior performance of CNN on medical image analysis heavily depend...

10 Cheng Xue, et al. ∙

research

∙ 03/30/2021

Temporal Memory Relation Network for Workflow Recognition from Surgical Video

Automatic surgical workflow recognition is a key component for developin...

10 Yueming Jin, et al. ∙

research

∙ 03/24/2021

MIcro-Surgical Anastomose Workflow recognition challenge report

The "MIcro-Surgical Anastomose Workflow recognition on training sessions...

7 Arnaud Huaulmé, et al. ∙

Qi Dou

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