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20212025
most citedExact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

16 citations · 61 across the 20 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 10 cited

TMP: Temporal Motion Propagation for Online Video Super-Resolution

Zhengqiang Zhang, Ruihuang Li, Shi Guo +2

Online video super-resolution (online-VSR) highly relies on an effective alignment module to aggregate temporal information, while the strict latency requirement makes accurate and…

cs.CV2023

One-to-Few Label Assignment for End-to-End Dense Detection

Shuai Li, Minghan Li, Ruihuang Li +2

One-to-one (o2o) label assignment plays a key role for transformer based end-to-end detection, and it has been recently introduced in fully convolutional detectors for end-to-end d…

cs.CV2023★ 1 cited

MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences

Chenhang He, Ruihuang Li, Yabin Zhang +2

Point cloud sequences are commonly used to accurately detect 3D objects in applications such as autonomous driving. Current top-performing multi-frame detectors mostly follow a Det…

cs.CV2023

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation

Ruihuang Li, Chenhang He, Yabin Zhang +3

Weakly supervised instance segmentation using only bounding box annotations has recently attracted much research attention. Most of the current efforts leverage low-level image fea…

cs.CV2023

DynaMask: Dynamic Mask Selection for Instance Segmentation

Ruihuang Li, Chenhang He, Shuai Li +2

The representative instance segmentation methods mostly segment different object instances with a mask of the fixed resolution, e.g., 28*28 grid. However, a low-resolution mask los…

cs.CV2023★ 4 cited

Adversarial Style Augmentation for Domain Generalization

Yabin Zhang, Bin Deng, Ruihuang Li +2

It is well-known that the performance of well-trained deep neural networks may degrade significantly when they are applied to data with even slightly shifted distributions. Recent…