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08/17/2023
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation
We aim at incorporating explicit shape information into current 3D organ...
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08/02/2023
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation
This paper seeks to address the dense labeling problems where a signific...
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03/20/2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Pose transfer aims to transfer a given person into a specified posture, ...
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01/02/2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
An increasing number of public datasets have shown a marked clinical imp...
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10/05/2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Active learning promises to improve annotation efficiency by iteratively...
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07/06/2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Shape information is a strong and valuable prior in segmenting organs in...
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04/23/2022
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation
Unpaired image-to-image translation aims to find a mapping between the s...
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12/03/2021
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
Recent advances in automated skin cancer diagnosis have yielded performa...
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11/26/2021
In-painting Radiography Images for Unsupervised Anomaly Detection
We propose space-aware memory queues for in-painting and detecting anoma...
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09/25/2021
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels
The success of deep learning relies heavily on large datasets with exten...
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06/04/2021
Glance-and-Gaze Vision Transformer
Recently, there emerges a series of vision Transformers, which show supe...
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11/25/2020
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Leveraging temporal information has been regarded as essential for devel...
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08/12/2020
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Recent works of point clouds show that mulit-frame spatio-temporal model...
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05/18/2020
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation
In this paper, we present a novel unsupervised domain adaptation (UDA) m...
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04/04/2020
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
This work presents comprehensive results to detect in the early stage th...
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11/24/2017
Sketch-to-Image Generation Using Deep Contextual Completion
When the input to pix2pix translation is a badly drawn sketch, the outpu...
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05/28/2017
Conditional CycleGAN for Attribute Guided Face Image Generation
State-of-the-art techniques in Generative Adversarial Networks (GANs) su...
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12/15/2016
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
Important high-level vision tasks such as human-object interaction, imag...
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02/02/2015
Towards a solid solution of real-time fire and flame detection
Although the object detection and recognition has received growing atten...
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02/02/2015
