activity
20182021
most citedGroup Fisher Pruning for Practical Network Compression

25 citations · 87 across the 7 of their papers we have counts for

collaborators

14 papers

cs.CV2021

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

Yi Li, Zhanghui Kuang, Liyang Liu +2

Most weakly supervised semantic segmentation (WSSS) methods follow the pipeline that generates pseudo-masks initially and trains the segmentation model with the pseudo-masks in ful…

cs.CV202115 cited

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

Zhanghui Kuang, Hongbin Sun, Zhizhong Li +10

We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recogniti…

cs.CV2021

Vision Transformer with Progressive Sampling

Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang +4

Transformers with powerful global relation modeling abilities have been introduced to fundamental computer vision tasks recently. As a typical example, the Vision Transformer (ViT)…

cs.CV202125 cited

Group Fisher Pruning for Practical Network Compression

Liyang Liu, Shilong Zhang, Zhanghui Kuang +7

Network compression has been widely studied since it is able to reduce the memory and computation cost during inference. However, previous methods seldom deal with complicated stru…

cs.CV202116 cited

Spatial Dual-Modality Graph Reasoning for Key Information Extraction

Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue +2

Key information extraction from document images is of paramount importance in office automation. Conventional template matching based approaches fail to generalize well to document…

cs.CV20204 cited

Context-Aware RCNN: A Baseline for Action Detection in Videos

Jianchao Wu, Zhanghui Kuang, Limin Wang +2

Video action detection approaches usually conduct actor-centric action recognition over RoI-pooled features following the standard pipeline of Faster-RCNN. In this work, we first e…