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Found 13 papers, 5 papers with code
Face Inverse Rendering via Hierarchical Decoupling
Previous face inverse rendering methods often require synthetic data with ground truth and/or professional equipment like a lighting stage.
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion
This paper presents a new method for deep uncalibrated photometric stereo, which efficiently utilizes the inter-image representation to guide the normal estimation.
Towards Visual Explainable Active Learning for Zero-Shot Classification
This paper proposes a visual explainable active learning approach with its design and implementation called semantic navigator to solve the above problems.
$E^3$: Visual Exploration of Spatiotemporal Energy Demand
Understanding demand-side energy behaviour is critical for making efficiency responses for energy demand management.
Human-Computer Interaction Computers and Society
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans
Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks.
Dunhuang Grottoes Painting Dataset and Benchmark
Follow the trend, we release the first public dataset for Dunhuang Grotto Painting restoration.
OVSNet : Towards One-Pass Real-Time Video Object Segmentation
Video object segmentation aims at accurately segmenting the target object regions across consecutive frames.
Kindling the Darkness: A Practical Low-light Image Enhancer
It is worth to note that our network is trained with paired images shot under different exposure conditions, instead of using any ground-truth reflectance and illumination information.
Ranked #9 on
Low-Light Image Enhancement
on LOL
Single Image Deraining: A Comprehensive Benchmark Analysis
We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images. This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes.
PFLD: A Practical Facial Landmark Detector
Being accurate, efficient, and compact is essential to a facial landmark detector for practical use.
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Rain effect in images typically is annoying for many multimedia and computer vision tasks.
Automatic Generation of Grounded Visual Questions
In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image.
Maximum Cohesive Grid of Superpixels for Fast Object Localization
For this purpose, we aim at constructing maximum cohesive SP-grid, which is composed of real nodes, i. e. SPs, and dummy nodes that are meaningless in the image with only position-taking function in the grid.
