Publications (19)
Neuromorphic Imaging with Super-Resolution
Pei Zhang, Shuo Zhu, Chutian Wang +2
Neuromorphic imaging is an emerging technique that imitates the human retina to sense variations in dynamic scenes. It responds to pixel-level brightness changes by asynchronous st…
Cross-Camera Human Motion Transfer by Time Series Analysis
Yaping Zhao, Guanghan Li, Edmund Y. Lam
With advances in optical sensor technology, heterogeneous camera systems are increasingly used for high-resolution (HR) video acquisition and analysis. However, motion transfer acr…
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing
Yaping Zhao, Shuhui Shi, Ramgopal Ravi +3
The study of socioeconomic status has been reformed by the availability of digital records containing data on real estate, points of interest, traffic and social media trends such…
Experimental preparation of eight-partite linear and two-diamond shape cluster states for photonic qumodes
Xiaolong Su, Yaping Zhao, Shuhong Hao +3
The preparation of multipartite entangled states is the prerequisite for exploring quantum information networks and quantum computation. In this letter, we present the first experi…
Mathematical Cookbook for Snapshot Compressive Imaging
Yaping Zhao
The author intends to provide you with a beautiful, elegant, user-friendly cookbook for mathematics in Snapshot Compressive Imaging (SCI). Currently, the cookbook is composed of in…
Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Framework
Qing Yang, Yaping Zhao
Aiming at high-dimensional (HD) data acquisition and analysis, snapshot compressive imaging (SCI) obtains the 2D compressed measurement of HD data with optical imaging systems and…
MANet: Improving Video Denoising with a Multi-Alignment Network
Yaping Zhao, Haitian Zheng, Zhongrui Wang +2
In video denoising, the adjacent frames often provide very useful information, but accurate alignment is needed before such information can be harnassed. In this work, we present a…
Cross-Camera Deep Colorization
Yaping Zhao, Haitian Zheng, Mengqi Ji +1
In this paper, we consider the color-plus-mono dual-camera system and propose an end-to-end convolutional neural network to align and fuse images from it in an efficient and cost-e…
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
Bodong Zhou, Jiahui Liu, Songyi Cui +1
With the progress of the urbanisation process, the urban transportation system is extremely critical to the development of cities and the quality of life of the citizens. Among the…
EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Yaping Zhao, Mengqi Ji, Ruqi Huang +2
In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i.e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolut…
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Yaping Zhao, Siming Zheng, Xin Yuan
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-dimensional (HD) data has led to an inverse problem, which consists of recovering the HD signa…
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge
Sriram Yenamandra, Arun Ramachandran, Mukul Khanna +42
In order to develop robots that can effectively serve as versatile and capable home assistants, it is crucial for them to reliably perceive and interact with a wide variety of obje…
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Yaping Zhao, Ramgopal Ravi, Shuhui Shi +3
Real estate prices have a significant impact on individuals, families, businesses, and governments. The general objective of real estate price prediction is to identify and exploit…
Pruning random resistive memory for optimizing analogue AI
Yi Li, Songqi Wang, Yaping Zhao +17
The rapid advancement of artificial intelligence (AI) has been marked by the large language models exhibiting human-like intelligence. However, these models also present unpreceden…
Zoom in to the details of human-centric videos
Guanghan Li, Yaping Zhao, Mengqi Ji +2
Presenting high-resolution (HR) human appearance is always critical for the human-centric videos. However, current imagery equipment can hardly capture HR details all the time. Exi…
Improving Video Colorization by Test-Time Tuning
Yaping Zhao, Haitian Zheng, Jiebo Luo +1
With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored.…
SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging
Yaping Zhao, Edmund Y. Lam
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-dimensional (HD) data depends on the advent of novel optical designs to sample the HD data as…
Point Cloud Denoising via Momentum Ascent in Gradient Fields
Yaping Zhao, Haitian Zheng, Zhongrui Wang +2
To achieve point cloud denoising, traditional methods heavily rely on geometric priors, and most learning-based approaches suffer from outliers and loss of details. Recently, the g…
Inverse Design of Metasurface for Spectral Imaging
Rongzhou Chen, Haitao Nie, Shuo Zhu +3
Inverse design of metasurfaces for the joint optimization of optical modulation and algorithmic decoding in computational optics presents significant challenges, especially in appl…