5 citations · 7 across the 3 of their papers we have counts for
5 papers
LODE: Deep Local Deblurring and A New Benchmark
Zerun Wang, Liuyu Xiang, Fan Yang +6
While recent deep deblurring algorithms have achieved remarkable progress, most existing methods focus on the global deblurring problem, where the image blur mostly arises from sev…
PANDA: A Gigapixel-level Human-centric Video Dataset
Xueyang Wang, Xiya Zhang, Yinheng Zhu +8
We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis. The videos in PANDA were captured by a gigapi…
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang, Guiguang Ding, Jungong Han
In real-world scenarios, data tends to exhibit a long-tailed distribution, which increases the difficulty of training deep networks. In this paper, we propose a novel self-paced kn…
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Liuyu Xiang, Xiaoming Jin, Guiguang Ding +2
Pedestrian attribute recognition has received increasing attention due to its important role in video surveillance applications. However, most existing methods are designed for a f…
Adaptive Region Embedding for Text Classification
Liuyu Xiang, Xiaoming Jin, Lan Yi +1
Deep learning models such as convolutional neural networks and recurrent networks are widely applied in text classification. In spite of their great success, most deep learning mod…