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20172023
most citedCross Attention Network for Few-shot Classification

142 citations · 392 across the 13 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

Real-Time Panoptic Segmentation from Dense Detections

Rui Hou, Jie Li, Arjun Bhargava +5

Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution. Current state-of-the-art approaches cannot…

cs.CV2019★ 142 cited

Cross Attention Network for Few-shot Classification

Ruibing Hou, Hong Chang, Bingpeng Ma +2

Few-shot classification aims to recognize unlabeled samples from unseen classes given only few labeled samples. The unseen classes and low-data problem make few-shot classification…

cs.CV2019★ 23 cited

An Efficient 3D CNN for Action/Object Segmentation in Video

Rui Hou, Chen Chen, Rahul Sukthankar +1

Convolutional Neural Network (CNN) based image segmentation has made great progress in recent years. However, video object segmentation remains a challenging task due to its high c…

cs.CV2019★ 39 cited

Interaction-and-Aggregation Network for Person Re-identification

Ruibing Hou, Bingpeng Ma, Hong Chang +3

Person re-identification (reID) benefits greatly from deep convolutional neural networks (CNNs) which learn robust feature embeddings. However, CNNs are inherently limited in model…

cs.CV2019★ 17 cited

VRSTC: Occlusion-Free Video Person Re-Identification

Ruibing Hou, Bingpeng Ma, Hong Chang +3

Video person re-identification (re-ID) plays an important role in surveillance video analysis. However, the performance of video re-ID degenerates severely under partial occlusion.…