activity
20192023
most cited1000x Faster Camera and Machine Vision with Ordinary Devices

97 citations · 163 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2023★ 1 cited

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline

Xiao Wang, Shiao Wang, Chuanming Tang +4

Tracking using bio-inspired event cameras has drawn more and more attention in recent years. Existing works either utilize aligned RGB and event data for accurate tracking or direc…

cs.CV2023★ 9 cited

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition

Xiao Wang, Yao Rong, Zongzhen Wu +4

Event camera-based pattern recognition is a newly arising research topic in recent years. Current researchers usually transform the event streams into images, graphs, or voxels, an…

cs.CV2022★ 8 cited

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Xiao Wang, Zongzhen Wu, Bo Jiang +5

The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which are suffered from illumination, fast motion, privacy-preserving, and large…

eess.IV2022★ 2 cited

HDRfeat: A Feature-Rich Network for High Dynamic Range Image Reconstruction

Lingkai Zhu, Fei Zhou, Bozhi Liu +1

A major challenge for high dynamic range (HDR) image reconstruction from multi-exposed low dynamic range (LDR) images, especially with dynamic scenes, is the extraction and merging…

cs.CV2022★ 1 cited

Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity

Yi Chang, Yun Guo, Yuntong Ye +5

Most of the existing learning-based deraining methods are supervisedly trained on synthetic rainy-clean pairs. The domain gap between the synthetic and real rain makes them less ge…

cs.CV2022★ 14 cited

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Chuanming Tang, Xiao Wang, Ju Huang +5

Combining the Color and Event cameras (also called Dynamic Vision Sensors, DVS) for robust object tracking is a newly emerging research topic in recent years. Existing color-event…

cs.CV2022

Temporal Up-Sampling for Asynchronous Events

Xijie Xiang, Lin Zhu, Jianing Li +2

The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid eve…

cs.CV2022

Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity

Yuntong Ye, Changfeng Yu, Yi Chang +4

Image deraining is a typical low-level image restoration task, which aims at decomposing the rainy image into two distinguishable layers: the clean image layer and the rain layer.…

cs.CV2022★ 97 cited

1000x Faster Camera and Machine Vision with Ordinary Devices

Tiejun Huang, Yajing Zheng, Zhaofei Yu +13

In digital cameras, we find a major limitation: the image and video form inherited from a film camera obstructs it from capturing the rapidly changing photonic world. Here, we pres…

cs.CV2022★ 6 cited

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network

Lin Zhu, Xiao Wang, Yi Chang +3

Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports asynchronous, continuously per-pixel brightness changes called `events' with high temporal resolution…

cs.CV2021★ 20 cited

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Xiao Wang, Jianing Li, Lin Zhu +6

Different from visible cameras which record intensity images frame by frame, the biologically inspired event camera produces a stream of asynchronous and sparse events with much lo…

cs.MM2019

An Efficient Coding Method for Spike Camera using Inter-Spike Intervals

Siwei Dong, Lin Zhu, Daoyuan Xu +2

Recently, a novel bio-inspired spike camera has been proposed, which continuously accumulates luminance intensity and fires spikes while the dispatch threshold is reached. Compared…

eess.IV2019★ 5 cited

A Retina-inspired Sampling Method for Visual Texture Reconstruction

Lin Zhu, Siwei Dong, Tiejun Huang +1

Conventional frame-based camera is not able to meet the demand of rapid reaction for real-time applications, while the emerging dynamic vision sensor (DVS) can realize high speed c…