activity
20172025
most citedLearning Detail-Structure Alternative Optimization for Blind Super-Resolution

57 citations · 132 across the 25 of their papers we have counts for

collaborators

26 papers

cs.CV2025

Harnessing Group-Oriented Consistency Constraints for Semi-Supervised Semantic Segmentation in CdZnTe Semiconductors

Peihao Li, Yan Fang, Man Liu +4

Labeling Cadmium Zinc Telluride (CdZnTe) semiconductor images is challenging due to the low-contrast defect boundaries, necessitating annotators to cross-reference multiple views.…

eess.IV2025★ 2 cited

TransVFC: A Transformable Video Feature Compression Framework for Machines

Yuxiao Sun, Yao Zhao, Meiqin Liu +4

Nowadays, more and more video transmissions primarily aim at downstream machine vision tasks rather than humans. While widely deployed Human Visual System (HVS) oriented video codi…

cs.CV2024★ 1 cited

PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning

Man Liu, Huihui Bai, Feng Li +5

Generalized zero-shot learning (GZSL) endeavors to identify the unseen categories using knowledge from the seen domain, necessitating the intrinsic interactions between the visual…

cs.CV2024★ 1 cited

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

Man Liu, Huihui Bai, Feng Li +4

Zero-shot learning (ZSL) endeavors to transfer knowledge from seen categories to recognize unseen categories, which mostly relies on the semantic-visual interactions between image…

eess.IV2024★ 1 cited

Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation

Anqi Li, Feng Li, Yuxi Liu +3

Although recent generative image compression methods have demonstrated impressive potential in optimizing the rate-distortion-perception trade-off, they still face the critical cha…

cs.CV2024

BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution

Feng Li, Yixuan Wu, Zichao Liang +4

Diffusion models (DM) have achieved remarkable promise in image super-resolution (SR). However, most of them are tailored to solving non-blind inverse problems with fixed known deg…