639 citations · 2.8k across the 45 of their papers we have counts for
45 papers
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution
Yuqi Han, Tao Yu, Xiaohang Yu +2
The neural radiance field (NeRF) achieved remarkable success in modeling 3D scenes and synthesizing high-fidelity novel views. However, existing NeRF-based methods focus more on th…
TINC: Tree-structured Implicit Neural Compression
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng +2
Implicit neural representation (INR) can describe the target scenes with high fidelity using a small number of parameters, and is emerging as a promising data compression technique…
INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions
Zhihong Zhang, Yuxiao Cheng, Jinli Suo +2
Under low-light environment, handheld photography suffers from severe camera shake under long exposure settings. Although existing deblurring algorithms have shown promising perfor…
A Dual Sensor Computational Camera for High Quality Dark Videography
Yuxiao Cheng, Runzhao Yang, Zhihong Zhang +2
Videos captured under low light conditions suffer from severe noise. A variety of efforts have been devoted to image/video noise suppression and made large progress. However, in ex…
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Jinli Suo, Weihang Zhang, Jin Gong +3
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificia…
Imaging dynamics beneath turbid media via parallelized single-photon detection
Shiqi Xu, Xi Yang, Wenhui Liu +9
Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse imaging met…
10-mega pixel snapshot compressive imaging with a hybrid coded aperture
Zhihong Zhang, Chao Deng, Yang Liu +3
High resolution images are widely used in our daily life, whereas high-speed video capture is challenging due to the low frame rate of cameras working at the high resolution mode.…
Prostate cancer histopathology with label-free multispectral deep UV microscopy quantifies phenotypes of tumor grade and aggressiveness
Soheil Soltani, Ashkan Ojaghi, Hui Qiao +5
Identifying prostate cancer patients that are harboring aggressive forms of prostate cancer remains a significant clinical challenge. To shed light on this problem, we develop an a…
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
Tao Yu, Zerong Zheng, Kaiwen Guo +3
Human volumetric capture is a long-standing topic in computer vision and computer graphics. Although high-quality results can be achieved using sophisticated off-line systems, real…
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras
Yang Zheng, Ruizhi Shao, Yuxiang Zhang +4
We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras. Our method can capture time varying surface details without the need o…
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
Xiu Li, Jinli Suo, Weihang Zhang +2
High quality imaging usually requires bulky and expensive lenses to compensate geometric and chromatic aberrations. This poses high constraints on the optical hash or low cost appl…
Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
Gaochang Wu, Yebin Liu, Lu Fang +2
In this paper, a novel convolutional neural network (CNN)-based framework is developed for light field reconstruction from a sparse set of views. We indicate that the reconstructio…
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Xin Yuan, Yang Liu, Jinli Suo +2
We consider the reconstruction problem of video snapshot compressive imaging (SCI), which captures high-speed videos using a low-speed 2D sensor (detector). The underlying principl…
PoNA: Pose-guided Non-local Attention for Human Pose Transfer
Kun Li, Jinsong Zhang, Yebin Liu +2
Human pose transfer, which aims at transferring the appearance of a given person to a target pose, is very challenging and important in many applications. Previous work ignores the…
Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping
Xiaochen Zhao, Zerong Zheng, Chaonan Ji +5
We introduce VERTEX, an effective solution to recover 3D shape and intrinsic texture of vehicles from uncalibrated monocular input in real-world street environments. To fully utili…
Deep Implicit Templates for 3D Shape Representation
Zerong Zheng, Tao Yu, Qionghai Dai +1
Deep implicit functions (DIFs), as a kind of 3D shape representation, are becoming more and more popular in the 3D vision community due to their compactness and strong representati…
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
Application-specific optical processors have been considered disruptive technologies for modern computing that can fundamentally accelerate the development of artificial intelligen…
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
Zerong Zheng, Tao Yu, Yebin Liu +1
Modeling 3D humans accurately and robustly from a single image is very challenging, and the key for such an ill-posed problem is the 3D representation of the human models. To overc…
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis
Mengqi Ji, Jinzhi Zhang, Qionghai Dai +1
Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images. As the observations become sparser, the significant 3D information loss makes the MVS problem more challen…
Single-pixel coherent diffraction imaging
Meng Li, Liheng Bian, Guoan Zheng +5
Complex-field imaging is indispensable for numerous applications at wavelengths from X-ray to THz, with amplitude describing transmittance (or reflectivity) and phase revealing int…
PANDA: A Gigapixel-level Human-centric Video Dataset
Xueyang Wang, Xiya Zhang, Yinheng Zhu +8
We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis. The videos in PANDA were captured by a gigapi…
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Xin Yuan, Yang Liu, Jinli Suo +1
Snapshot compressive imaging (SCI) aims to capture the high-dimensional (usually 3D) images using a 2D sensor (detector) in a single snapshot. Though enjoying the advantages of low…
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Haoqian Wang, Zhiwei Xu, Jun Xu +3
Image recognition is an important topic in computer vision and image processing, and has been mainly addressed by supervised deep learning methods, which need a large set of labele…
DeepHuman: 3D Human Reconstruction from a Single Image
Zerong Zheng, Tao Yu, Yixuan Wei +2
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D human reconstruction from a single RGB image. To reduce the ambiguities associated with the surface ge…