activity
20172023
most citedSpikformer: When Spiking Neural Network Meets Transformer

105 citations · 126 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

11 papers · 1 filter

cs.CV2023

Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition

Yuqing Wang, Zhenyu Weng, Zhaokun Zhou +3

Over the past years, Printed Mathematical Expression Recognition (PMER) has progressed rapidly. However, due to the insufficient context information captured by Convolutional Neura…

cs.CV2023★ 4 cited

ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation

Dongxu Yue, Qin Guo, Munan Ning +3

Editing real facial images is a crucial task in computer vision with significant demand in various real-world applications. While GAN-based methods have showed potential in manipul…

cs.CV2023★ 1 cited

DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality

Yuqing Wang, Yizhi Wang, Longhui Yu +2

Vector font synthesis is a challenging and ongoing problem in the fields of Computer Vision and Computer Graphics. The recently-proposed DeepVecFont achieved state-of-the-art perfo…

cs.CV2022★ 1 cited

How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation

Jie Ruan, Yue Wu, Xiaojun Wan +1

Sarcasm generation has been investigated in previous studies by considering it as a text-to-text generation problem, i.e., generating a sarcastic sentence for an input sentence. In…

cs.CV2022

Region-aware Attention for Image Inpainting

Zhilin Huang, Chujun Qin, Zhenyu Weng +1

Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image. However, they tend to generate blurry conten…

cs.CV2022

Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification

Longhui Yu, Zhenyu Weng, Yuqing Wang +1

Incremental learning methods can learn new classes continually by distilling knowledge from the last model (as a teacher model) to the current model (as a student model) in the seq…

cs.CV2022

Interactive Image Inpainting Using Semantic Guidance

Wangbo Yu, Jinhao Du, Ruixin Liu +2

Image inpainting approaches have achieved significant progress with the help of deep neural networks. However, existing approaches mainly focus on leveraging the priori distributio…

cs.CV2021★ 2 cited

Structure-aware Image Inpainting with Two Parallel Streams

Zhilin Huang, Chujun Qin, Ruixin Liu +2

Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results. In this paper, we propose an end-to-end arc…

cs.CV2021

Online Hashing with Similarity Learning

Zhenyu Weng, Yuesheng Zhu

Online hashing methods usually learn the hash functions online, aiming to efficiently adapt to the data variations in the streaming environment. However, when the hash functions ar…

cs.CV2020

Fast Search on Binary Codes by Weighted Hamming Distance

Zhenyu Weng, Yuesheng Zhu, Ruixin Liu

Weighted Hamming distance, as a similarity measure between binary codes and binary queries, provides superior accuracy in search tasks than Hamming distance. However, how to effici…

cs.CV2019

Efficient Querying from Weighted Binary Codes

Zhenyu Weng, Yuesheng Zhu

Binary codes are widely used to represent the data due to their small storage and efficient computation. However, there exists an ambiguity problem that lots of binary codes share…