4.4k citations · 4.6k across the 7 of their papers we have counts for
7 papers
A Similarity Alignment Model for Video Copy Segment Matching
Zhenhua Liu, Feipeng Ma, Tianyi Wang +1
With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms. Meta AI hold Video Similarity Challenge on CVPR 2023 to p…
A Dual-level Detection Method for Video Copy Detection
Tianyi Wang, Feipeng Ma, Zhenhua Liu +1
With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms. Meta AI hold Video Similarity Challenge on CVPR 2023 to p…
CLIP4Caption: CLIP for Video Caption
Mingkang Tang, Zhanyu Wang, Zhenhua Liu +3
Video captioning is a challenging task since it requires generating sentences describing various diverse and complex videos. Existing video captioning models lack adequate visual r…
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
Weidong Guo, Mingjun Zhao, Lusheng Zhang +5
Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performan…
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie, Kai Han, Zhenhua Liu +2
Modern single image super-resolution (SISR) system based on convolutional neural networks (CNNs) achieves fancy performance while requires huge computational costs. The problem on…
A Survey on Visual Transformer
Kai Han, Yunhe Wang, Hanting Chen +10
Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong represen…
Pre-Trained Image Processing Transformer
Hanting Chen, Yunhe Wang, Tianyu Guo +7
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectivenes…