17 citations · 35 across the 18 of their papers we have counts for
12 papers · 1 filter
Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection
Ruichao Yang, Wei Gao, Xiaobin Zhu +5
Multimodal misinformation poses an escalating challenge that often evades traditional detectors, which are opaque black boxes and fragile against new manipulation tactics. We prese…
Unsupervised Real-World Super-Resolution via Rectified Flow Degradation Modelling
Hongyang Zhou, Xiaobin Zhu, Liuling Chen +4
Unsupervised real-world super-resolution (SR) faces critical challenges due to the complex, unknown degradation distributions in practical scenarios. Existing methods struggle to g…
Similarity Matters: A Novel Depth-guided Network for Image Restoration and A New Dataset
Junyi He, Liuling Chen, Hongyang Zhou +5
Image restoration has seen substantial progress in recent years. However, existing methods often neglect depth information, which hurts similarity matching, results in attention di…
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
Shi-Xue Zhang, Hongfa Wang, Duojun Huang +3
Video captions play a crucial role in text-to-video generation tasks, as their quality directly influences the semantic coherence and visual fidelity of the generated videos. Altho…
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
Henrique Morimitsu, Xiaobin Zhu, Roberto M. Cesar +2
Optical flow estimation is essential for video processing tasks, such as restoration and action recognition. The quality of videos is constantly increasing, with current standards…
Video-Language Alignment via Spatio-Temporal Graph Transformer
Shi-Xue Zhang, Hongfa Wang, Xiaobin Zhu +5
Video-language alignment is a crucial multi-modal task that benefits various downstream applications, e.g., video-text retrieval and video question answering. Existing methods eith…
Inverse-like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic Sampling
Shi-Xue Zhang, Chun Yang, Xiaobin Zhu +3
Scene text spotting is a challenging task, especially for inverse-like scene text, which has complex layouts, e.g., mirrored, symmetrical, or retro-flexed. In this paper, we propos…
Arbitrary Shape Text Detection via Segmentation with Probability Maps
Shi-Xue Zhang, Xiaobin Zhu, Lei Chen +2
Arbitrary shape text detection is a challenging task due to the significantly varied sizes and aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc. Due to…
SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete Attribute
Zhou Kangneng, Zhu Xiaobin, Gao Daiheng +3
Manipulating latent code in generative adversarial networks (GANs) for facial image synthesis mainly focuses on continuous attribute synthesis (e.g., age, pose and emotion), while…
Arbitrary Shape Text Detection via Boundary Transformer
Shi-Xue Zhang, Chun Yang, Xiaobin Zhu +1
In arbitrary shape text detection, locating accurate text boundaries is challenging and non-trivial. Existing methods often suffer from indirect text boundary modeling or complex p…
Graph Fusion Network for Multi-Oriented Object Detection
Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou +1
In object detection, non-maximum suppression (NMS) methods are extensively adopted to remove horizontal duplicates of detected dense boxes for generating final object instances. Ho…
Towards Open-Set Text Recognition via Label-to-Prototype Learning
Chang Liu, Chun Yang, Hai-Bo Qin +3
Scene text recognition is a popular topic and extensively used in the industry. Although many methods have achieved satisfactory performance for the close-set text recognition chal…