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20192026
most citedTowards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution

9 citations · 33 across the 18 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

EgoIntrospect: An Egocentric Dataset and Benchmark for User-Centric Internal State Reasoning

Zeyu Wang, Chang Liu, Eduardus Tjitrahardja +22

Despite extensive efforts on egocentric video datasets and benchmarks, understanding users' internal states, which is crucial for enabling seamless AI assistant experiences, remain…

cs.CV2024

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing

Haonan Lin, Mengmeng Wang, Jiahao Wang +7

Text-guided diffusion models have significantly advanced image editing, enabling high-quality and diverse modifications driven by text prompts. However, effective editing requires…

cs.CV2024

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery

Haonan Lin, Wenbin An, Jiahao Wang +6

Recent advancements have shown promise in applying traditional Semi-Supervised Learning strategies to the task of Generalized Category Discovery (GCD). Typically, this involves a t…

cs.CV2024

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering

Lingling Zhang, Muye Huang, QianYing Wang +3

Chart Question Answering (CQA) aims at answering questions based on the visual chart content, which plays an important role in chart sumarization, business data analysis, and data…

cs.CV2024★ 1 cited

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models

Wenbin An, Feng Tian, Jiahao Nie +7

Knowledge-based Visual Question Answering (KVQA) requires both image and world knowledge to answer questions. Current methods first retrieve knowledge from the image and external k…

cs.CV2024★ 2 cited

Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

Wenbin An, Feng Tian, Sicong Leng +6

Despite great success across various multimodal tasks, Large Vision-Language Models (LVLMs) often encounter object hallucinations with generated textual responses being inconsisten…

cs.CV2024

OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer

Dixuan Lin, Yuxiang Zhang, Mengcheng Li +5

In this paper, we introduce OmniHands, a universal approach to recovering interactive hand meshes and their relative movement from monocular or multi-view inputs. Our approach addr…

cs.CV2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation

Haonan Lin, Mengmeng Wang, Yan Chen +6

While large-scale pre-trained text-to-image models can synthesize diverse and high-quality human-centered images, novel challenges arise with a nuanced task of "identity fine editi…

cs.CV2021★ 4 cited

MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction

Guozhi Tang, Lele Xie, Lianwen Jin +6

Visual Information Extraction (VIE) task aims to extract key information from multifarious document images (e.g., invoices and purchase receipts). Most previous methods treat the V…

cs.CV2021★ 9 cited

Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution

Jiapeng Wang, Chongyu Liu, Lianwen Jin +6

Visual information extraction (VIE) has attracted considerable attention recently owing to its various advanced applications such as document understanding, automatic marking and i…

cs.CV2019★ 8 cited

Decoupled Attention Network for Text Recognition

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5

Text recognition has attracted considerable research interests because of its various applications. The cutting-edge text recognition methods are based on attention mechanisms. How…