84 citations · 174 across the 14 of their papers we have counts for
10 papers · 1 filter
Face Inverse Rendering via Hierarchical Decoupling
Meng Wang, Xiaojie Guo, Wenjing Dai +1
Previous face inverse rendering methods often require synthetic data with ground truth and/or professional equipment like a lighting stage. However, a model trained on synthetic da…
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion
Fangzhou Gao, Meng Wang, Lianghao Zhang +2
Uncalibrated photometric stereo is proposed to estimate the detailed surface normal from images under varying and unknown lightings. Recently, deep learning brings powerful data pr…
Dunhuang Grottoes Painting Dataset and Benchmark
Tianxiu Yu, Shijie Zhang, Cong Lin +5
This document introduces the background and the usage of the Dunhuang Grottoes Dataset and the benchmark. The documentation first starts with the background of the Dunhuang Grotto,…
OVSNet : Towards One-Pass Real-Time Video Object Segmentation
Peng Sun, Peiwen Lin, Guangliang Cheng +3
Video object segmentation aims at accurately segmenting the target object regions across consecutive frames. It is technically challenging for coping with complicated factors (e.g.…
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang, Jiawan Zhang, Xiaojie Guo
Images captured under low-light conditions often suffer from (partially) poor visibility. Besides unsatisfactory lightings, multiple types of degradations, such as noise and color…
Single Image Deraining: A Comprehensive Benchmark Analysis
Siyuan Li, Iago Breno Araujo, Wenqi Ren +7
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 i…
PFLD: A Practical Facial Landmark Detector
Xiaojie Guo, Siyuan Li, Jinke Yu +5
Being accurate, efficient, and compact is essential to a facial landmark detector for practical use. To simultaneously consider the three concerns, this paper investigates a neat m…
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Siyuan LI, Wenqi Ren, Jiawan Zhang +2
Rain effect in images typically is annoying for many multimedia and computer vision tasks. For removing rain effect from a single image, deep leaning techniques have been attractin…
Automatic Generation of Grounded Visual Questions
Shijie Zhang, Lizhen Qu, Shaodi You +2
In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image. Visual question generation is an emerging topic…
Visual Data Deblocking using Structural Layer Priors
Xiaojie Guo
The blocking artifact frequently appears in compressed real-world images or video sequences, especially coded at low bit rates, which is visually annoying and likely hurts the perf…