16 citations · 51 across the 13 of their papers we have counts for
8 papers · 1 filter
Collaborative Multi-Agent Video Fast-Forwarding
Shuyue Lan, Zhilu Wang, Ermin Wei +2
Multi-agent applications have recently gained significant popularity. In many computer vision tasks, a network of agents, such as a team of robots with cameras, could work collabor…
MDoc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis
Hiuyi Cheng, Peirong Zhang, Sihang Wu +6
Document layout analysis is a crucial prerequisite for document understanding, including document retrieval and conversion. Most public datasets currently contain only PDF document…
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
Weibo Mao, Chenxin Xu, Qi Zhu +2
To model the indeterminacy of human behaviors, stochastic trajectory prediction requires a sophisticated multi-modal distribution of future trajectories. Emerging diffusion models…
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Liang Xiao, Jiaolong Xu, Dawei Zhao +3
Data augmentation has been widely used to improve generalization in training deep neural networks. Recent works show that using worst-case transformations or adversarial augmentati…
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
Yuxin Kong, Canjie Luo, Weihong Ma +4
Automatic font generation remains a challenging research issue due to the large amounts of characters with complicated structures. Typically, only a few samples can serve as the st…
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads
Chenyu Gao, Qi Zhu, Peng Wang +1
Vision-and-Language (VL) pre-training has shown great potential on many related downstream tasks, such as Visual Question Answering (VQA), one of the most popular problems in the V…
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Qi Zhu, Chenyu Gao, Peng Wang +1
Texts appearing in daily scenes that can be recognized by OCR (Optical Character Recognition) tools contain significant information, such as street name, product brand and prices.…
Structured Multimodal Attentions for TextVQA
Chenyu Gao, Qi Zhu, Peng Wang +4
In this paper, we propose an end-to-end structured multimodal attention (SMA) neural network to mainly solve the first two issues above. SMA first uses a structural graph represent…