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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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06/15/2023
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Out-of-Distribution (OOD) detection is critical for the reliable operati...
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03/30/2023
NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
We present a novel differentiable rendering framework for joint geometry...
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03/25/2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Building up reliable Out-of-Distribution (OOD) detectors is challenging,...
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03/08/2023
Structure-aware registration network for liver DCE-CT images
Image registration of liver dynamic contrast-enhanced computed tomograph...
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11/22/2022
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
Generalization to previously unseen images with potential domain shifts ...
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09/09/2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Machine learning methods must be trusted to make appropriate decisions i...
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06/14/2022
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
In clinical practice, a segmentation network is often required to contin...
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06/07/2022
Critical Regularizations for Neural Surface Reconstruction in the Wild
Neural implicit functions have recently shown promising results on surfa...
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03/14/2022
NeILF: Neural Incident Light Field for Physically-based Material Estimation
We present a differentiable rendering framework for material and lightin...
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02/21/2022
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Adversarial Training (AT) is crucial for obtaining deep neural networks ...
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09/18/2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
Domain generalizable model is attracting increasing attention in medical...
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08/23/2021
Learning Signed Distance Field for Multi-view Surface Reconstruction
Recent works on implicit neural representations have shown promising res...
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06/07/2021
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure
Enabling out-of-distribution (OOD) detection for DNNs is critical for th...
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05/06/2021
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation
The segmentation of coronary arteries by convolutional neural network is...
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03/17/2021
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
We design blackbox transfer-based targeted adversarial attacks for an en...
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09/30/2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Recent research finds CNN models for image classification demonstrate ov...
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08/18/2020
Visibility-aware Multi-view Stereo Network
Learning-based multi-view stereo (MVS) methods have demonstrated promisi...
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08/11/2020
Learning Stereo Matchability in Disparity Regression Networks
Learning-based stereo matching has recently achieved promising results, ...
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05/27/2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
The segmentation of coronary arteries in X-ray angiograms by convolution...
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11/22/2019
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
While deep learning has recently achieved great success on multi-view st...
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09/18/2019
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment
Emerging resistive random-access memory (ReRAM) has recently been intens...
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03/29/2019
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection
Attention mechanism has been widely applied to various sound-related tas...
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12/06/2018
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack
In recent years, deep neural networks demonstrated state-of-the-art perf...
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09/27/2018