16 citations · 34 across the 5 of their papers we have counts for
8 papers · 1 filter
A Gated Cross-domain Collaborative Network for Underwater Object Detection
Linhui Dai, Hong Liu, Pinhao Song +1
Underwater object detection (UOD) plays a significant role in aquaculture and marine environmental protection. Considering the challenges posed by low contrast and low-light condit…
Edge-guided Representation Learning for Underwater Object Detection
Linhui Dai, Hong Liu, Pinhao Song +3
Underwater object detection (UOD) is crucial for marine economic development, environmental protection, and the planet's sustainable development. The main challenges of this task a…
AO2-DETR: Arbitrary-Oriented Object Detection Transformer
Linhui Dai, Hong Liu, Hao Tang +2
Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild with arbitrary orientations and cluttered arrangements. Existing approaches are mainl…
Towards a Unified Approach to Single Image Deraining and Dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi +2
We develop a new physical model for the rain effect and show that the well-known atmosphere scattering model (ASM) for the haze effect naturally emerges as its homogeneous continuo…
Learning for Unconstrained Space-Time Video Super-Resolution
Zhihao Shi, Xiaohong Liu, Chengqi Li +4
Recent years have seen considerable research activities devoted to video enhancement that simultaneously increases temporal frame rate and spatial resolution. However, the existing…
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang +36
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…