Publications (9)
Progressive Spatial Recurrent Neural Network for Intra Prediction
Yueyu Hu, Wenhan Yang, Mading Li +1
Intra prediction is an important component of modern video codecs, which is able to efficiently squeeze out the spatial redundancy in video frames. With preceding pixels as the con…
MARLow: A Joint Multiplanar Autoregressive and Low-Rank Approach for Image Completion
Mading Li, Jiaying Liu, Zhiwei Xiong +2
In this paper, we propose a novel multiplanar autoregressive (AR) model to exploit the correlation in cross-dimensional planes of a similar patch group collected in an image, which…
Joint Enhancement and Denoising Method via Sequential Decomposition
Xutong Ren, Mading Li, Wen-Huang Cheng +1
Many low-light enhancement methods ignore intensive noise in original images. As a result, they often simultaneously enhance the noise as well. Furthermore, extra denoising procedu…
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
Guandu Liu, Yukang Ding, Mading Li +3
Look-up table(LUT)-based methods have shown the great efficacy in single image super-resolution (SR) task. However, previous methods ignore the essential reason of restricted recep…
Aesthetic Photo Collage with Deep Reinforcement Learning
Mingrui Zhang, Mading Li, Li Chen +1
Photo collage aims to automatically arrange multiple photos on a given canvas with high aesthetic quality. Existing methods are based mainly on handcrafted feature optimization, wh…
MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management
Guangyi Liu, Gao Wu, Congxiao Liu +7
MLLM-based mobile GUI agents have made substantial progress on short-horizon tasks, yet remain unreliable on long-horizon tasks that require retaining intermediate facts across man…
MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization
Guangyi Liu, Pengxiang Zhao, Gao Wu +9
MLLM-based mobile GUI agents have made substantial progress in UI understanding and action execution, but adapting them to real target apps remains costly because mobile apps are n…
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +2
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality of a single image, whose performance has been improved by deep learning-based methods in…
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
Kun Yuan, Hongbo Liu, Mading Li +6
Video quality assessment (VQA) is a challenging problem due to the numerous factors that can affect the perceptual quality of a video, \eg, content attractiveness, distortion type,…