490 citations · 1.5k across the 56 of their papers we have counts for
8 papers · 1 filter
SWIPENET: Object detection in noisy underwater images
Long Chen, Feixiang Zhou, Shengke Wang +5
In recent years, deep learning based object detection methods have achieved promising performance in controlled environments. However, these methods lack sufficient capabilities to…
Perceptual underwater image enhancement with deep learning and physical priors
Long Chen, Zheheng Jiang, Lei Tong +5
Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater n…
3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
Xiaoxu Cai, Hui Yu, Jianwen Lou +3
We present to recover the complete 3D facial geometry from a single depth view by proposing an Attention Guided Generative Adversarial Networks (AGGAN). In contrast to existing wor…
Real-time 3D Facial Tracking via Cascaded Compositional Learning
Jianwen Lou, Xiaoxu Cai, Junyu Dong +1
We propose to learn a cascade of globally-optimized modular boosted ferns (GoMBF) to solve multi-modal facial motion regression for real-time 3D facial tracking from a monocular RG…
A Benchmark dataset for both underwater image enhancement and underwater object detection
Long Chen, Lei Tong, Feixiang Zhou +5
Underwater image enhancement is such an important vision task due to its significance in marine engineering and aquatic robot. It is usually work as a pre-processing step to improv…
Progressively Unfreezing Perceptual GAN
Jinxuan Sun, Yang Chen, Junyu Dong +1
Generative adversarial networks (GANs) are widely used in image generation tasks, yet the generated images are usually lack of texture details. In this paper, we propose a general…