Event-Based Vision

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15 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection
Jun 15, 2026Md Tawheedul Islam Bhuian, Kyoung-Don KangEvent-Based Vision Frequency-Domain Feature Learning
School of Computing State University of New York at Binghamton
Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction
Jun 14, 2026Qian Feng, Hao Guo, Yan Niu +2Remote Photoplethysmography Event-Based Vision
College of Computer Science and Technology, Taiyuan University of Technology, China · College of Artificial Intelligence, Taiyuan University of Technology, China
SED:Lightweight Saliency prediction for Event-based data via Distillation
Jun 12, 2026Romaric Mazna, Jean Martinet, Michele MagnoEvent-Based Vision Edge Inference
i3S/CNRS, Universit´e Cˆote d’Azur · ETH Zürich
FEMOT: Multi-Object Tracking using Frame and Event Cameras
Jun 12, 2026Shiao Wang, Xiao Wang, Chao Wang +6Event-Based Vision Visual Object Tracking
School of Computer Science and Technology, Anhui University, Hefei, 230601, China. · 2Peng Cheng Laboratory, Shenzhen, China. · 5Harbin Institute of Technology, Shenzhen, China. +2
EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution
Jun 11, 2026Dachun Kai, Jiayao Lu, Yueyi Zhang +1Event-Based Vision Image Enhancement
MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei 230027, China · Midea Group, Shanghai 201700, China
DIMOS: Disentangling Instance-level Moving Object Segmentation
Jun 11, 2026Hongxiang Huang, Hongwei Ren, Xiaopeng Lin +3Event-Based Vision Disentangled Representation Learning
The Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China
EventRadar: Long-Range Visual UAV Discovery through Spatiotemporal Event Sensing
Jun 9, 2026Zhiting Zhou, Xingchen Liu, Xinglin Yu +5Event-Based Vision Event-Based Object Detection
Shenzhen International Graduate School, Tsinghua University · Sun Yat-sen University · Harbin Institute of Technology, Shenzhen +3
A Multimodal RGB and Events Dataset for Hand Detection in First-Person View
Jun 9, 2026Bharghav Kota, Yulia SandamirskayaEvent-Based Vision Event-Based Object Detection
Zurich University of Applied Sciences, Wädenswil, Switzerland · Zurich University of Applied Sciences Wädenswil, Switzerland
Minimal Solvers for Full-DoF Motion Estimation from Asynchronous Differential SfM
Jun 8, 2026Shuo Pan, Banglei Guan, Bin Li +5Event-Based Vision Visual Odometry
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China · 2The Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, 2026 Changsha 410073, China
A Geometric Framework for Absolute Pose and Velocity Estimation with Event Cameras
Jun 8, 2026Zibin Liu, Shunkun Liang, Banglei Guan +3Event-Based Vision Camera Pose Estimation
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China · independent researcher, Beijing 100000, China
Programmable Silicon Retina on Pixel Processor Array
Jun 6, 2026Maciej Lewandowski, Prince Philip, Alexandre Marcireau +3Event-Based Vision Neuromorphic Computing
Department of Electrical and Electronic Engineering University of Manchester, UK · Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India · Department of Computer Science University of Manchester, UK
OpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision
Jun 5, 2026Pietro Bonazzi, Julian Moosmann, Ahmet Celik +2Event-Based Vision Wearable Sensing
Department of Information Technology and Electrical Engineering, ETH Zürich, 8092 Zürich, Switzerland
FS-DVS: A Frequency-Selective Dynamic Visual Sensing Paradigm for Enhancing Information Completeness
Jun 5, 2026Feiyu Ji, Xiaokang Yang, Xiaoyun YuanEvent-Based Vision Frequency-Domain Image Processing
MoE Key Lab of Artificial Intelligence, Institute of AI, School of Computer Science, Shanghai Jiao Tong University
Computation-Aware Event-to-Frame Reconstruction via Selective Attention
Jun 4, 2026Jingqian Wu, Yunbo Jia, Edmund Y. LamEvent-Based Vision
The University of Hong Kong Hong Kong, China · Beijing University of Posts and Telecommunications Beijing, China
TIDES: Time-Derivative Event Simulation via Deformable Reconstruction
Jun 1, 2026Christopher Thirgood, Dipon Kumar Ghosh, Simon HadfieldEvent-Based Vision
University of Surrey, Guildford, Surrey, UK
Event-Based Vision in Space: Applications, Trends, and Future Directions
May 31, 2026Luigi Capogrosso, Pietro Bonazzi, Michele MagnoEvent-Based Vision Remote Sensing
Interdisciplinary Transformation University of Austria · ETH Zurich, Zurich
CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
May 27, 2026Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4Event-Based Vision Continual Learning
Institute of Informatics, University of Munich (LMU), Munich, Germany · fortiss GmbH, Neuromorphic Computing, Munich, Germany · Technical University of Munich, TUM School of CIT, Munich, Germany +5
EventShiftFlow: Towards Hardware-efficient FPGA-based Flow Estimation
May 27, 2026Arianna Alonso Bizzi, Fernando Cladera, C. J. TaylorOptical Flow Event-Based Vision
University of Pennsylvania, Philadelphia, PA.
Design of a Real-time Asynchronous Monocular Odometry for Planetary Exploration
May 26, 2026Benat Inigo, Florian Steidle, Wolfgang StuerzlEvent-Based Vision Visual Odometry
Institute of Robotics and Mechatronics German Aerospace Center (DLR) · University of Zaragoza
NightSight: Passive Computation for Navigation in Dark Using Events
May 25, 2026Deepak Singh, Brijan Vaghasiya, Shreyas Khobragade +1Event-Based Vision Depth Estimation
Perception and Autonomous Robotics (PeAR) Group Worcester Polytechnic Institute Worcester, USA
Event-to-Video Reconstruction using Spatio-Temporal and Frequency-Enhanced Deep Neural Networks
May 25, 2026Ramna Maqsood, Paulo Nunes, Luís Ducla Soares +1Event-Based Vision Vision Transformer
Instituto de Telecomunicações, Instituto Universitário de Lisboa (ISCTE-IUL) Lisbon, Portugal · Instituto de Telecomunicac¸˜oes, Instituto Universit´ario de Lisboa (ISCTE-IUL) Lisbon, Portugal
Event-based Batting Impact Estimation
May 25, 2026Ryotaro Ishida, Wataru Ikeda, Ryosei Hara +3Event-Based Vision Sports Video Analysis
Keio University · NTT Communication Science Laboratories
From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation
May 25, 2026Rui Hu, Song Wu, Wen Yang +1Optical Flow Event-Based Vision
Xidian University1
LC-Flow: Learning Local Continuous Optical Flow and Confidence from events
May 23, 2026Gunwoo Jeon, Chaesong Park, Jongwoo LimOptical Flow Event-Based Vision
IPAI, Seoul National University
Exploring deep learning for Event-Based Saliency Prediction with a Transformer-based model
May 22, 2026Romaric Mazna, Jean Martinet, Sai Deepesh PokalaEvent-Based Vision
1i3S/CNRS, Université Côte d’Azur
Extending Deep Event Visual Odometry with Sparse Point-Cloud Export
May 21, 2026Alireza Safdari, Sajad AshrafEvent-Based Vision Visual Odometry
TU Berlin
Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset
May 21, 2026Senyan Xu, Zhijing Sun, Kean Liu +5Event-Based Vision Low-Light Image Enhancement
University of Science and Technology of China
EventGait: Towards Robust Gait Recognition with Event Streams
May 21, 2026Senyan Xu, Shuai Chen, Chuanfu Shen +4Event-Based Vision Gait Analysis
University of Science and Technology of China · University of Electronic Science and Technology of China
DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions
May 20, 2026Jiaqi Chen, Qinfu Xu, Liyuan PanEvent-Based Vision Human Activity Recognition
Beijing Institute of Technology
RE-VLM: Event-Augmented Vision-Language Model for Scene Understanding
May 19, 2026Hanqing Liu, Mingjie Liu, Luoping Cui +3Visual Question Answering Event-Based Vision
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China · School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China 2State Key Laboratory of General Artificial Intelligence, BIGAI, Beijing, China

Jun 15, 2026, cs.CVJ/K move · Enter open · S save

FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection

Md Tawheedul Islam Bhuian, Kyoung-Don Kang

School of Computing State University of New York at Binghamton

Event-Based Vision Frequency-Domain Feature Learning Event-Based Object Detection

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Event cameras are bio-inspired sensors that asynchronously capture logarithmic intensity changes, offering inherent advantages in high-speed and high-dynamic-range scenarios. However, the sparse and asynchronous nature of event streams poses a fundamental challenge for modern deep learning architectures. To enable compatibility with standard models, most existing approaches partition the accumulation window into fixed temporal sub-bins. While effective for spatial processing, this internal discretization discards fine-grained temporal structure and constrains inference to the low temporal frequencies imposed by training supervision. To address this limitation, we propose FATE, a unified framework built upon a novel Pillar Encoding (PE). While operating over discrete macro-accumulation windows dictated by the target frequency, PE avoids internal temporal sub-binning. It organizes events into spatial pillars and approximates their intra-window evolution via projection onto a continuous-time orthogonal polynomial basis. This formulation yields an L2-optimal representation that retains rich temporal dynamics in a dense pseudo-image, mitigating information loss under sparse event conditions. To fully leverage this representation, we introduce Frequency-Aware Training (FAT), a soft mean-teacher curriculum that generates temporally dense pseudo-labels, effectively bridging the mismatch between low-frequency supervision and high-frequency inference. Extensive experiments demonstrate that FATE generalizes across architectural paradigms and consistently outperforms strong baselines. It enables robust object detection at high temporal resolutions up to 200 Hz, while incurring minimal overhead in parameter count and inference latency

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