484 citations · 578 across the 9 of their papers we have counts for
9 papers
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding
Hao Feng, Qi Liu, Hao Liu +4
This work presents DocPedia, a novel large multimodal model (LMM) for versatile OCR-free document understanding, capable of parsing images up to 2,5602,560 resolution. Unli…
The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training
Hao Liu, Xinghua Jiang, Xin Li +3
The self-supervised Masked Image Modeling (MIM) schema, following "mask-and-reconstruct" pipeline of recovering contents from masked image, has recently captured the increasing int…
Neural Collaborative Graph Machines for Table Structure Recognition
Hao Liu, Xin Li, Bing Liu +3
Recently, table structure recognition has achieved impressive progress with the help of deep graph models. Most of them exploit single visual cues of tabular elements or simply com…
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
Hao Liu, Xinghua Jiang, Xin Li +3
Recently, Vision Transformers (ViT), with the self-attention (SA) as the de facto ingredients, have demonstrated great potential in the computer vision community. For the sake of t…
PuzzleNet: Scene Text Detection by Segment Context Graph Learning
Hao Liu, Antai Guo, Deqiang Jiang +2
Recently, a series of decomposition-based scene text detection methods has achieved impressive progress by decomposing challenging text regions into pieces and linking them in a bo…
Neural Person Search Machines
Hao Liu, Jiashi Feng, Zequn Jie +5
We investigate the problem of person search in the wild in this work. Instead of comparing the query against all candidate regions generated in a query-blind manner, we propose to…
Multi-View Image Generation from a Single-View
Bo Zhao, Xiao Wu, Zhi-Qi Cheng +3
This paper addresses a challenging problem -- how to generate multi-view cloth images from only a single view input. To generate realistic-looking images with different views from…
Video-based Person Re-identification with Accumulative Motion Context
Hao Liu, Zequn Jie, Karlekar Jayashree +4
Video based person re-identification plays a central role in realistic security and video surveillance. In this paper we propose a novel Accumulative Motion Context (AMOC) network…
End-to-End Comparative Attention Networks for Person Re-identification
Hao Liu, Jiashi Feng, Meibin Qi +2
Person re-identification across disjoint camera views has been widely applied in video surveillance yet it is still a challenging problem. One of the major challenges lies in the l…