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09/17/2023
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera
The ability to detect objects in all lighting (i.e., normal-, over-, and...
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08/10/2023
Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
Endeavors have been recently made to transfer knowledge from the labeled...
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08/06/2023
E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP
Contrasting Language-image pertaining (CLIP) has recently shown promisin...
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07/24/2023
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation
In this paper, we strive to answer the question "how to collaboratively ...
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03/25/2023
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
The ability of scene understanding has sparked active research for panor...
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02/17/2023
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
Event cameras are bio-inspired sensors that capture the per-pixel intens...
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10/16/2022
Evaluation of the Synthetic Electronic Health Records
Generative models have been found effective for data synthesis due to th...
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09/06/2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
The popular methods for semi-supervised semantic segmentation mostly ado...
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06/04/2022
All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey
Image restoration and enhancement is a process of improving the image qu...
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01/14/2022
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
Class imbalance can often degrade predictive performance of supervised l...
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11/23/2021
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Semi-supervised learning has made significant strides in the medical dom...
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11/17/2021
Network Generation with Differential Privacy
We consider the problem of generating private synthetic versions of real...
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11/17/2021
A Graph-based Imputation Method for Sparse Medical Records
Electronic Medical Records (EHR) are extremely sparse. Only a small prop...
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03/02/2020
A Systematic Literature Review of Modern Software Visualization
We report on the state-of-the-art of software visualization. To ensure r...
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09/03/2019
