18 citations · 37 across the 10 of their papers we have counts for
10 papers · 1 filter
World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving
Mingliang Zhai, Cheng Li, Zengyuan Guo +7
The Multi-modal Large Language Models (MLLMs) with extensive world knowledge have revitalized autonomous driving, particularly in reasoning tasks within perceivable regions. Howeve…
Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention
Hannan Lu, Xiaohe Wu, Shudong Wang +5
Generating multi-view videos for autonomous driving training has recently gained much attention, with the challenge of addressing both cross-view and cross-frame consistency. Exist…
Collaborative Position Reasoning Network for Referring Image Segmentation
Jianjian Cao, Beiya Dai, Yulin Li +2
Given an image and a natural language expression as input, the goal of referring image segmentation is to segment the foreground masks of the entities referred by the expression. E…
MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary
Beiya Dai, Xing li, Qunyi Xie +5
Document dewarping from a distorted camera-captured image is of great value for OCR and document understanding. The document boundary plays an important role which is more evident…
TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision
Yukun Zhai, Xiaoqiang Zhang, Xiameng Qin +3
End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework. Typical methods heavily rely on Regio…
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Mingliang Zhai, Yulin Li, Xiameng Qin +6
Transformers achieve promising performance in document understanding because of their high effectiveness and still suffer from quadratic computational complexity dependency on the…
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
Yuechen Yu, Yulin Li, Chengquan Zhang +7
In this paper, we present StrucTexTv2, an effective document image pre-training framework, by performing masked visual-textual prediction. It consists of two self-supervised pre-tr…
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
JianJian Cao, Xiameng Qin, Sanyuan Zhao +1
Answering semantically-complicated questions according to an image is challenging in Visual Question Answering (VQA) task. Although the image can be well represented by deep learni…
StrucTexT: Structured Text Understanding with Multi-Modal Transformers
Yulin Li, Yuxi Qian, Yuchen Yu +7
Structured text understanding on Visually Rich Documents (VRDs) is a crucial part of Document Intelligence. Due to the complexity of content and layout in VRDs, structured text und…
EATEN: Entity-aware Attention for Single Shot Visual Text Extraction
He guo, Xiameng Qin, Jiaming Liu +3
Extracting entity from images is a crucial part of many OCR applications, such as entity recognition of cards, invoices, and receipts. Most of the existing works employ classical d…