activity
20122022
most citedTowards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

66 citations · 133 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CV202266 cited

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Gen Luo, Yiyi Zhou, Xiaoshuai Sun +5

Despite the exciting performance, Transformer is criticized for its excessive parameters and computation cost. However, compressing Transformer remains as an open problem due to it…

cs.CV2022

Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters

Mingbao Lin, Liujuan Cao, Yuxin Zhang +3

This paper focuses on filter-level network pruning. A novel pruning method, termed CLR-RNF, is proposed. We first reveal a "long-tail" long-tail pruning problem in magnitude-based…

cs.CV2021

ISTR: End-to-End Instance Segmentation with Transformers

Jie Hu, Liujuan Cao, Yao Lu +6

End-to-end paradigms significantly improve the accuracy of various deep-learning-based computer vision models. To this end, tasks like object detection have been upgraded by replac…

cs.CV20219 cited

SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang +6

In recent years, Face Image Quality Assessment (FIQA) has become an indispensable part of the face recognition system to guarantee the stability and reliability of recognition perf…

cs.CV20219 cited

Image-to-image Translation via Hierarchical Style Disentanglement

Xinyang Li, Shengchuan Zhang, Jie Hu +6

Recently, image-to-image translation has made significant progress in achieving both multi-label (\ie, translation conditioned on different labels) and multi-style (\ie, generation…

cs.CV20218 cited

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

Liming Jiang, Zhengkui Guo, Wayne Wu +18

This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection. The challenge employs the DeeperForensics-1.0 dataset, one of the…