129 citations · 511 across the 26 of their papers we have counts for
26 papers
Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
Xingxing Yang, Jie Chen, Zaifeng Yang
Near-infrared (NIR) image spectrum translation is a challenging problem with many promising applications. Existing methods struggle with the mapping ambiguity between the NIR and t…
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
Jucai Zhai, Pengcheng Zeng, Chihao Ma +2
Recent research showed that the dual-pixel sensor has made great progress in defocus map estimation and image defocus deblurring. However, extracting real-time dual-pixel views is…
Dual Complementary Dynamic Convolution for Image Recognition
Longbin Yan, Yunxiao Qin, Shumin Liu +1
As a powerful engine, vanilla convolution has promoted huge breakthroughs in various computer tasks. However, it often suffers from sample and content agnostic problems, which limi…
Locality Guidance for Improving Vision Transformers on Tiny Datasets
Kehan Li, Runyi Yu, Zhennan Wang +3
While the Vision Transformer (VT) architecture is becoming trendy in computer vision, pure VT models perform poorly on tiny datasets. To address this issue, this paper proposes the…
Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning
Wenpeng Xing, Jie Chen
Novel view synthesis of static scenes has achieved remarkable advancements in producing photo-realistic results. However, key challenges remain for immersive rendering of dynamic s…
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
Jie Chen, Zaifeng Yang, Tsz Nam Chan +3
High Dynamic Range (HDR) imaging via multi-exposure fusion is an important task for most modern imaging platforms. In spite of recent developments in both hardware and algorithm in…
Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Xingxing Yang, Jie Chen, Zaifeng Yang +1
Near infrared (NIR) imaging has been widely applied in low-light imaging scenarios; however, it is difficult for human and algorithms to perceive the real scene in the colorless NI…
Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering
Wenpeng Xing, Jie Chen, Zaifeng Yang +1
Image-based geometric modeling and novel view synthesis based on sparse, large-baseline samplings are challenging but important tasks for emerging multimedia applications such as v…
Image-based Virtual Fitting Room
Zhiling Huang, Junwen Bu, Jie Chen
Virtual fitting room is a challenging task yet useful feature for e-commerce platforms and fashion designers. Existing works can only detect very few types of fashion items. Beside…
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution
Yuanzhuo Li, Yunan Zheng, Jie Chen +2
Among the major remaining challenges for single image super resolution (SISR) is the capacity to recover coherent images with global shapes and local details conforming to human vi…
Edge Adaptive Hybrid Regularization Model For Image Deblurring
Tingting Zhang, Jie Chen, Caiying Wu +3
The parameter selection is crucial to regularization based image restoration methods. Generally speaking, a spatially fixed parameter for regularization item in the whole image doe…
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution
Jing Jin, Junhui Hou, Zhiyu Zhu +2
Light field (LF) images acquired by hand-held devices usually suffer from low spatial resolution as the limited detector resolution has to be shared with the angular dimension. LF…
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
Mantang Guo, Junhui Hou, Jing Jin +2
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decode…
Online Graph-Based Change Point Detection in Multiband Image Sequences
Ricardo Augusto Borsoi, Cédric Richard, André Ferrari +2
The automatic detection of changes or anomalies between multispectral and hyperspectral images collected at different time instants is an active and challenging research topic. To…
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
Zhiyu Zhu, Junhui Hou, Jie Chen +2
This paper explores the problem of hyperspectral image (HSI) super-resolution that merges a low resolution HSI (LR-HSI) and a high resolution multispectral image (HR-MSI). The cros…
Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Jing Jin, Junhui Hou, Jie Chen +1
Light field (LF) images acquired by hand-held devices usually suffer from low spatial resolution as the limited sampling resources have to be shared with the angular dimension. LF…
Chart Auto-Encoders for Manifold Structured Data
Stefan Schonsheck, Jie Chen, Rongjie Lai
Deep generative models have made tremendous advances in image and signal representation learning and generation. These models employ the full Euclidean space or a bounded subset as…
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion
Jing Jin, Junhui Hou, Jie Chen +3
A densely-sampled light field (LF) is highly desirable in various applications, such as 3-D reconstruction, post-capture refocusing and virtual reality. However, it is costly to ac…
Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses
Jing Jin, Junhui Hou, Jie Chen +2
This paper explores the problem of reconstructing high-resolution light field (LF) images from hybrid lenses, including a high-resolution camera surrounded by multiple low-resoluti…
Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion
Jie Chen, Lap-Pui Chau, Junhui Hou
The light field faithfully records the spatial and angular configurations of the scene, which facilitates a wide range of imaging possibilities. In this work, we propose an LF synt…
Haze Density Estimation via Modeling of Scattering Coefficients of Iso-depth Regions
Jie Chen, Cheen-Hau Tan, Lap-Pui Chau
Vision based haze density estimation is of practical implications for the purpose of precaution alarm and emergency reactions toward disastrous hazy weathers. In this paper, we int…
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework
Jie Chen, Junhui Hou, Lap-Pui Chau
Light field (LF) cameras provide perspective information of scenes by taking directional measurements of the focusing light rays. The raw outputs are usually dark with additive cam…
Robust Video Content Alignment and Compensation for Clear Vision Through the Rain
Jie Chen, Cheen-Hau Tan, Junhui Hou +2
Outdoor vision-based systems suffer from atmospheric turbulences, and rain is one of the worst factors for vision degradation. Current rain removal methods show limitations either…
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework
Jie Chen, Cheen-Hau Tan, Junhui Hou +2
Rain removal is important for improving the robustness of outdoor vision based systems. Current rain removal methods show limitations either for complex dynamic scenes shot from fa…