273 citations · 437 across the 16 of their papers we have counts for
17 papers
SteerVTE: Seamless Video Text Editing with Style and Glyph Control
Kai Zeng, Moran Li, Zhengwei Wang +6
Visual text editing aims to precisely modify text in images and videos while preserving stylistic consistency and visual realism. Despite significant advances in the image domain,…
TextSculptor: Training and Benchmarking Scene Text Editing
Yiheng Lin, Siyu Jiao, Xiaohan Lan +12
Recent advances in Multimodal Large Language Models (MLLMs) and diffusion-based generative models have substantially improved prompt-driven image editing. However, scene text editi…
Exploring the Global-to-Local Attention Scheme in Graph Transformers: An Empirical Study
Gang Wu, Zhengwei Wang
Graph Transformers (GTs) show considerable potential in graph representation learning. The architecture of GTs typically integrates Graph Neural Networks (GNNs) with global attenti…
MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation
Jing Xu, Wentao Shi, Pan Gao +2
In recent works on semantic segmentation, there has been a significant focus on designing and integrating transformer-based encoders. However, less attention has been given to tran…
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding
Zhengwei Wang, Qi She, Aljosa Smolic
Most of existing video action recognition models ingest raw RGB frames. However, the raw video stream requires enormous storage and contains significant temporal redundancy. Video…
Generative adversarial networks in time series: A survey and taxonomy
Eoin Brophy, Zhengwei Wang, Qi She +1
Generative adversarial networks (GANs) studies have grown exponentially in the past few years. Their impact has been seen mainly in the computer vision field with realistic image a…
ACTION-Net: Multipath Excitation for Action Recognition
Zhengwei Wang, Qi She, Aljosa Smolic
Spatial-temporal, channel-wise, and motion patterns are three complementary and crucial types of information for video action recognition. Conventional 2D CNNs are computationally…
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She, Fan Feng, Qi Liu +33
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
Zhengwei Wang, Qi She, Tejo Chalasani +1
Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses. A major issue in such scenarios for r…
A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She, Alan F. Smeaton +2
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However, eva…
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She, Fan Feng, Xinyue Hao +9
The recent breakthroughs in computer vision have benefited from the availability of large representative datasets (e.g. ImageNet and COCO) for training. Yet, robotic vision poses u…
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang, Qi She, Tomas E. Ward
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where gre…
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She, Alan F. Smeaton +2
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. Arguably the…
Quick and Easy Time Series Generation with Established Image-based GANs
Eoin Brophy, Zhengwei Wang, Tomas E. Ward
In the recent years Generative Adversarial Networks (GANs) have demonstrated significant progress in generating authentic looking data. In this work we introduce our simple method…
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
Rapid Serial Visual Presentation (RSVP) is a paradigm that supports the application of cortically coupled computer vision to rapid image search. In RSVP, images are presented to pa…
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data
Eoin Brophy, José Juan Dominguez Veiga, Zhengwei Wang +2
The current gold standard for human activity recognition (HAR) is based on the use of cameras. However, the poor scalability of camera systems renders them impractical in pursuit o…
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
There is a growing interest in using generative adversarial networks (GANs) to produce image content that is indistinguishable from real images as judged by a typical person. A num…