activity
20142023
most citedToward Fast, Flexible, and Robust Low-Light Image Enhancement

54 citations · 67 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

gr-qc2023

Transient analysis of arm locking controller

Yi Zhang, Mingzhe Li, Tong Wang +4

Arm locking is one of the key technologies to suppress the laser phase noise in spaced-based gravitational waves observatories. Since arm locking was proposed, phase margin criteri…

cs.CV2023

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation

Xiaohan Cui, Long Ma, Tengyu Ma +3

Object detection in low-light scenarios has attracted much attention in the past few years. A mainstream and representative scheme introduces enhancers as the pre-processing for re…

cs.CV20236 cited

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

Jinyuan Liu, Zhu Liu, Guanyao Wu +5

Multi-modality image fusion and segmentation play a vital role in autonomous driving and robotic operation. Early efforts focus on boosting the performance for only one task, \emph…

cs.CV20236 cited

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement

Long Ma, Dian Jin, Nan An +3

Enhancing images in low-light scenes is a challenging but widely concerned task in the computer vision. The mainstream learning-based methods mainly acquire the enhanced model by l…

cs.CV2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

Zhu Liu, Jinyuan Liu, Guanyao Wu +3

Recently, multi-modality scene perception tasks, e.g., image fusion and scene understanding, have attracted widespread attention for intelligent vision systems. However, early effo…

cs.CL2023

PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information

Long Ma, Kai Lu, Tianbo Che +3

The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities in low-context situations and noisy scenarios like the presence of spelling mistakes and t…