no code implementations • 11 Apr 2024 • Bo Zhang, Jinli Suo, Qionghai Dai
To unlock the potential of conventional snapshot compressive videography, we propose a novel hybrid "intensity+event" imaging scheme by incorporating an event camera into a video SCI setup.
no code implementations • 6 Jan 2024 • Bo Zhang, Yuqi Han, Jinli Suo, Qionghai Dai
Event cameras or dynamic vision sensors (DVS) record asynchronous response to brightness changes instead of conventional intensity frames, and feature ultra-high sensitivity at low bandwidth.
no code implementations • 30 Nov 2023 • Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo
Functional Magnetic Resonance Imaging (fMRI) data is a widely used kind of four-dimensional biomedical data, which requires effective compression.
1 code implementation • 22 Nov 2023 • Zhihong Zhang, Runzhao Yang, Jinli Suo, Yuxiao Cheng, Qionghai Dai
In this work, by leveraging classical coded exposure imaging technique and emerging implicit neural representation for videos, we tactfully embed the motion direction cues into the blurry image during the imaging process and develop a novel self-recursive neural network to sequentially retrieve the latent video sequence from the blurry image utilizing the embedded motion direction cues.
1 code implementation • 3 Oct 2023 • Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
This study introduces the CausalTime pipeline to generate time-series that highly resemble the real data and with ground truth causal graphs for quantitative performance evaluation.
no code implementations • 29 Sep 2023 • Xiaochen Zhao, Lizhen Wang, Jingxiang Sun, Hongwen Zhang, Jinli Suo, Yebin Liu
The problem of modeling an animatable 3D human head avatar under light-weight setups is of significant importance but has not been well solved.
1 code implementation • 17 Jul 2023 • Tingxiong Xiao, Weihang Zhang, Yuxiao Cheng, Jinli Suo
Despite their remarkable performance, deep neural networks remain mostly ``black boxes'', suggesting inexplicability and hindering their wide applications in fields requiring making rational decisions.
1 code implementation • 17 May 2023 • Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo, Qionghai Dai
Solving partial differential equations (PDEs) has been a fundamental problem in computational science and of wide applications for both scientific and engineering research.
1 code implementation • 10 May 2023 • Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Qin Zhong, Jinli Suo, Kunlun He
Causal discovery in time-series is a fundamental problem in the machine learning community, enabling causal reasoning and decision-making in complex scenarios.
1 code implementation • 15 Feb 2023 • Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
Causal discovery from time-series data has been a central task in machine learning.
no code implementations • 16 Jan 2023 • Bo Zhang, Yuchen Guo, Runzhao Yang, Zhihong Zhang, Jiayi Xie, Jinli Suo, Qionghai Dai
In this paper, we contribute the first multi-illuminance, multi-camera, and low-light dataset, named DarkVision, serving for both image enhancement and object detection.
1 code implementation • CVPR 2023 • Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Jinli Suo, Qionghai Dai
In this paper, we propose a Tree-structured Implicit Neural Compression (TINC) to conduct compact representation for local regions and extract the shared features of these local representations in a hierarchical manner.
1 code implementation • 30 Sep 2022 • Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai
To address this issue, we firstly derive a mathematical explanation for INR's spectrum concentration property and an analytical insight on the design of INR based compressor.
1 code implementation • 17 Jul 2022 • Zhihong Zhang, Yuxiao Cheng, Jinli Suo, Liheng Bian, Qionghai Dai
In terms of algorithm design, INFWIDE proposes a two-branch architecture, which explicitly removes noise and hallucinates saturated regions in the image space and suppresses ringing artifacts in the feature space, and integrates the two complementary outputs with a subtle multi-scale fusion network for high quality night photograph deblurring.
no code implementations • 11 Apr 2022 • Yuxiao Cheng, Runzhao Yang, Zhihong Zhang, Jinli Suo, Qionghai Dai
In this paper, we propose to build a dual-sensor camera to additionally collect the photons in NIR wavelength, and make use of the correlation between RGB and near-infrared (NIR) spectrum to perform high-quality reconstruction from noisy dark video pairs.
no code implementations • 18 Sep 2021 • Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision.
1 code implementation • 30 Jun 2021 • Zhihong Zhang, Chao Deng, Yang Liu, Xin Yuan, Jinli Suo, Qionghai Dai
Towards this end, snapshot compressive imaging (SCI) was proposed as a promising solution to improve the throughput of imaging systems by compressive sampling and computational reconstruction.
1 code implementation • ICCV 2021 • Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai
High quality imaging usually requires bulky and expensive lenses to compensate geometric and chromatic aberrations.
1 code implementation • 13 Jan 2021 • Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai
On the other hand, applying SCI to large-scale problems (HD or UHD videos) in our daily life is still challenging and one of the bottlenecks lies in the reconstruction algorithm.
no code implementations • 30 Nov 2020 • Xiaochen Zhao, Zerong Zheng, Chaonan Ji, Zhenyi Liu, Siyou Lin, Tao Yu, Jinli Suo, Yebin Liu
We introduce VERTEX, an effective solution to recover 3D shape and intrinsic texture of vehicles from uncalibrated monocular input in real-world street environments.
3 code implementations • CVPR 2020 • Xin Yuan, Yang Liu, Jinli Suo, Qionghai Dai
Snapshot compressive imaging (SCI) aims to capture the high-dimensional (usually 3D) images using a 2D sensor (detector) in a single snapshot.
3 code implementations • 20 Jul 2018 • Yang Liu, Xin Yuan, Jinli Suo, David J. Brady, Qionghai Dai
We further investigate the special structure of the sampling process in SCI to tackle the computational workload and memory issues in SCI reconstruction.
no code implementations • 11 Jul 2017 • Liheng Bian, Jinli Suo, Qionghai Dai, Feng Chen
Various algorithms have been proposed for SPI reconstruction, including the linear correlation methods, the alternating projection method (AP), and the compressive sensing based methods.
no code implementations • 1 Mar 2016 • Liheng Bian, Jinli Suo, Jaebum Chung, Xiaoze Ou, Changhuei Yang, Feng Chen, Qionghai Dai
Fourier ptychographic microscopy (FPM) is a novel computational coherent imaging technique for high space-bandwidth product imaging.
no code implementations • 1 Dec 2015 • Dongsheng An, Jinli Suo, Xiangyang Ji, Haoqian Wang, Qionghai Dai
Specifically, this paper derives a normalized dichromatic model for the pixels with identical diffuse color: a unit circle equation of projection coefficients in two subspaces that are orthogonal to and parallel with the illumination, respectively.
no code implementations • 19 Jun 2015 • Xuehui Wang, Jinli Suo, Jingyi Yu, Yongdong Zhang, Qionghai Dai
Firstly, we capture the scene with a pinhole and analyze the scene content to determine primary edge orientations.
no code implementations • CVPR 2015 • Tao Yue, Jinli Suo, Jue Wang, Xun Cao, Qionghai Dai
Furthermore, by investigating the visual artifacts of aberration degenerated images captured by consumer-level cameras, the non-uniform distribution of sharpness across color channels and the image lattice is exploited as visual priors, resulting in a novel strategy to utilize the guidance from the sharpest channel and local image regions to improve the overall performance and robustness.
no code implementations • CVPR 2014 • Chenguang Ma, Xing Lin, Jinli Suo, Qionghai Dai, Gordon Wetzstein
Capturing and understanding visual signals is one of the core interests of computer vision.
no code implementations • 6 Dec 2013 • Liheng Bian, Jinli Suo, Feng Chen, Qionghai Dai
Optical coherence tomography (OCT) is an important interferometric diagnostic technique which provides cross-sectional views of the subsurface microstructure of biological tissues.