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09/13/2023
Prompting Segmentation with Sound is Generalizable Audio-Visual Source Localizer
Never having seen an object and heard its sound simultaneously, can the ...
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08/29/2023
On the Robustness of Object Detection Models in Aerial Images
The robustness of object detection models is a major concern when applie...
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07/23/2023
Towards Generic and Controllable Attacks Against Object Detection
Existing adversarial attacks against Object Detectors (ODs) suffer from ...
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06/01/2023
A polynomial-time iterative algorithm for random graph matching with non-vanishing correlation
We propose an efficient algorithm for matching two correlated Erdős–Rény...
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05/22/2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Current semantic segmentation models have achieved great success under t...
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05/11/2023
FreePoint: Unsupervised Point Cloud Instance Segmentation
Instance segmentation of point clouds is a crucial task in 3D field with...
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04/18/2023
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Detecting arbitrarily oriented tiny objects poses intense challenges to ...
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01/31/2023
Few-Shot Object Detection via Variational Feature Aggregation
As few-shot object detectors are often trained with abundant base sample...
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01/26/2023
Detecting Building Changes with Off-Nadir Aerial Images
The tilted viewing nature of the off-nadir aerial images brings severe c...
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12/28/2022
A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation
Motivated by the problem of matching vertices in two correlated Erdős-Ré...
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05/29/2022
Matching recovery threshold for correlated random graphs
For two correlated graphs which are independently sub-sampled from a com...
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03/28/2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Modern object detectors have achieved impressive progress under the clos...
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03/28/2022
Detection threshold for correlated Erdős-Rényi graphs via densest subgraphs
The problem of detecting edge correlation between two Erdős-Rényi random...
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12/15/2021
Decoupling Zero-Shot Semantic Segmentation
Zero-shot semantic segmentation (ZS3) aims to segment the novel categori...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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03/17/2021
The planted matching problem: Sharp threshold and infinite-order phase transition
We study the problem of reconstructing a perfect matching M^* hidden in ...
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03/13/2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Recently, object detection in aerial images has gained much attention in...
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03/08/2021
Unsupervised Pretraining for Object Detection by Patch Reidentification
Unsupervised representation learning achieves promising performances in ...
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02/24/2021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
In the past decade, object detection has achieved significant progress i...
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02/09/2021
DetCo: Unsupervised Contrastive Learning for Object Detection
Unsupervised contrastive learning achieves great success in learning ima...
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08/21/2020
Align Deep Features for Oriented Object Detection
The past decade has witnessed significant progress on detecting objects ...
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11/18/2019
Consistent recovery threshold of hidden nearest neighbor graphs
Motivated by applications such as discovering strong ties in social netw...
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12/01/2018
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
Object detection in aerial images is an active yet challenging task in c...
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11/19/2018
Efficient random graph matching via degree profiles
Random graph matching refers to recovering the underlying vertex corresp...
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04/15/2018
Hidden Hamiltonian Cycle Recovery via Linear Programming
We introduce the problem of hidden Hamiltonian cycle recovery, where the...
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11/28/2017
