activity
20172026
most citedVGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts

2 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble

Wei Sun, Weixia Zhang, Hongjian Zhan +3

We present DroneIQA-VLE, our solution to the ICME 2026 Drone-IQA Grand Challenge on Target-aware Image Quality Assessment for Low-altitude UAV Images. The framework jointly predict…

cs.CV2026

Perceptual Flow Network for Visually Grounded Reasoning

Yangfu Li, Yuning Gong, Hongjian Zhan +8

Despite the success of Large-Vision Language Models (LVLMs), general optimization objectives (e.g., standard MLE) fail to constrain visual trajectories, leading to language bias an…

cs.CV2026

DeepScan: A Training-Free Framework for Visually Grounded Reasoning in Large Vision-Language Models

Yangfu Li, Hongjian Zhan, Jiawei Chen +3

Humans can robustly localize visual evidence and provide grounded answers even in noisy environments by identifying critical cues and then relating them to the full context in a bo…

cs.CV2025

Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

Yangfu Li, Hongjian Zhan, Tianyi Chen +2

Existing visual token pruning methods target prompt alignment and visual preservation with static strategies, overlooking the varying relative importance of these objectives across…

cs.CR2023★ 1 cited

Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks

Zhenzhe Gao, Zhaoxia Yin, Hongjian Zhan +2

Artificial Intelligence (AI) has found wide application, but also poses risks due to unintentional or malicious tampering during deployment. Regular checks are therefore necessary…

cs.CV2023

Weakly Supervised Scene Text Generation for Low-resource Languages

Yangchen Xie, Xinyuan Chen, Hongjian Zhan +4

A large number of annotated training images is crucial for training successful scene text recognition models. However, collecting sufficient datasets can be a labor-intensive and c…

cs.CV2023

Scene Text Recognition with Image-Text Matching-guided Dictionary

Jiajun Wei, Hongjian Zhan, Xiao Tu +2

Employing a dictionary can efficiently rectify the deviation between the visual prediction and the ground truth in scene text recognition methods. However, the independence of the…

cs.CV2023★ 2 cited

VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts

Wenbo Hu, Hongjian Zhan, Xinchen Ma +3

In the field of historical manuscript research, scholars frequently encounter novel symbols in ancient texts, investing considerable effort in their identification and documentatio…

cs.SD2023★ 1 cited

DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification

Yangfu Li, Jiapan Gan, Xiaodan Lin

Conventional time-delay neural networks (TDNNs) struggle to handle long-range context, their ability to represent speaker information is therefore limited in long utterances. Exist…

cs.CV2017

Handwritten digit string recognition by combination of residual network and RNN-CTC

Hongjian Zhan, Qingqing Wang, Yue Lu

Recurrent neural network (RNN) and connectionist temporal classification (CTC) have showed successes in many sequence labeling tasks with the strong ability of dealing with the pro…