Search Results for author: Chenxin Li

Found 19 papers, 4 papers with code

GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation

no code implementations8 Jul 2024 Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan

To tackle these, we propose an innovative Modality-prompted Heterogeneous Graph for Omnimodal Learning (GTP-4o), which embeds the numerous disparate clinical modalities into a unified representation, completes the deficient embedding of missing modality and reformulates the cross-modal learning with a graph-based aggregation.

Benchmarking Graph Embedding +2

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

no code implementations1 Jul 2024 Chenxin Li, Brandon Y. Feng, Yifan Liu, Hengyu Liu, Cheng Wang, Weihao Yu, Yixuan Yuan

3D reconstruction of biological tissues from a collection of endoscopic images is a key to unlock various important downstream surgical applications with 3D capabilities.

3D Reconstruction Benchmarking +1

GaussianStego: A Generalizable Stenography Pipeline for Generative 3D Gaussians Splatting

no code implementations1 Jul 2024 Chenxin Li, Hengyu Liu, Zhiwen Fan, Wuyang Li, Yifan Liu, Panwang Pan, Yixuan Yuan

Recent advancements in large generative models and real-time neural rendering using point-based techniques pave the way for a future of widespread visual data distribution through sharing synthesized 3D assets.

Neural Rendering

LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction

no code implementations23 Jun 2024 Hengyu Liu, Yifan Liu, Chenxin Li, Wuyang Li, Yixuan Yuan

However, the prerequisite for modeling dynamic scenes by a large number of Gaussian units, the high-dimensional Gaussian attributes and the high-resolution deformation fields, all lead to serve storage issues that hinder real-time rendering in resource-limited surgical equipment.

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

1 code implementation5 Jun 2024 Chenxin Li, Xinyu Liu, Wuyang Li, Cheng Wang, Hengyu Liu, Yixuan Yuan

We further delved into the potential of U-KAN as an alternative U-Net noise predictor in diffusion models, demonstrating its applicability in generating task-oriented model architectures.

Image Segmentation Medical Image Segmentation +2

Endora: Video Generation Models as Endoscopy Simulators

no code implementations17 Mar 2024 Chenxin Li, Hengyu Liu, Yifan Liu, Brandon Y. Feng, Wuyang Li, Xinyu Liu, Zhen Chen, Jing Shao, Yixuan Yuan

In a nutshell, Endora marks a notable breakthrough in the deployment of generative AI for clinical endoscopy research, setting a substantial stage for further advances in medical content generation.

Data Augmentation Video Generation

EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction

no code implementations23 Jan 2024 Yifan Liu, Chenxin Li, Chen Yang, Yixuan Yuan

To adapt 3DGS for endoscopic scenes, we propose two strategies, Holistic Gaussian Initialization (HGI) and Spatio-temporal Gaussian Tracking (SGT), to handle the non-trivial Gaussian initialization and tissue deformation problems, respectively.

Decoder Depth Estimation

ADCNet: a unified framework for predicting the activity of antibody-drug conjugates

1 code implementation17 Jan 2024 Liye Chen, Biaoshun Li, Yihao Chen, Mujie Lin, Shipeng Zhang, Chenxin Li, Yu Pang, Ling Wang

Antibody-drug conjugate (ADC) has revolutionized the field of cancer treatment in the era of precision medicine due to their ability to precisely target cancer cells and release highly effective drug.

Activity Prediction Language Modelling +1

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning

no code implementations23 Nov 2023 Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo

In this paper, we propose a simple yet effective Attribute-Aware Representation Rectification framework for GZSL, dubbed $\mathbf{(AR)^{2}}$, to adaptively rectify the feature extractor to learn novel features while keeping original valuable features.

Attribute Generalized Zero-Shot Learning +1

Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images

1 code implementation13 Jun 2023 Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang

The accurate estimation of six degrees-of-freedom (6DoF) object poses is essential for many applications in robotics and augmented reality.

object-detection Object Detection +1

StegaNeRF: Embedding Invisible Information within Neural Radiance Fields

no code implementations ICCV 2023 Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang

Recent advances in neural rendering imply a future of widespread visual data distributions through sharing NeRF model weights.

Neural Rendering

Hint-dynamic Knowledge Distillation

no code implementations30 Nov 2022 Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang

Knowledge Distillation (KD) transfers the knowledge from a high-capacity teacher model to promote a smaller student model.

Knowledge Distillation

Knowledge Condensation Distillation

2 code implementations12 Jul 2022 Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao

Knowledge Distillation (KD) transfers the knowledge from a high-capacity teacher network to strengthen a smaller student.

Knowledge Distillation

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

no code implementations17 Apr 2022 Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding

Data augmentation based methods construct pseudo-healthy images by "pasting" fake lesions on real healthy ones, and a network is trained to predict healthy images in a supervised manner.

Anomaly Detection Data Augmentation

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

no code implementations31 May 2021 Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

In this paper, to address the above issues, we propose a hierarchical deep network where an attention mechanism localizes the low-contrast capillary regions guided by the whole vessels, and enhance the spatial activation in those areas for the sub-type vessels.

Segmentation

Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification

no code implementations16 Mar 2021 Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding

In this paper, we propose a novel vessel-mixing based consistency regularization framework, for cross-domain learning in retinal A/V classification.

Classification General Classification

Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation

no code implementations16 Mar 2021 Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding

In this paper, to alleviate this issue, we introduce the semantic space of healthy anatomy in the process of modeling healthy-data distribution.

Anatomy Anomaly Detection +2

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

no code implementations10 Dec 2020 Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

Motivated by the spatial consistency and regularity in medical images, we developed an efficient global correlation module to capture the correlation between a support and query image and incorporate it into the deep network called global correlation network.

Clustering Image Segmentation +2

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