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20182026
most citedPolarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion

108 citations · 286 across the 58 of their papers we have counts for

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Showing 2024Show all

12 papers · 1 filter

eess.IV2024

Towards Dependable Optical Flow: Benchmarks for Real-World Spatiotemporal Corruptions

Zhonghua Yi, Hao Shi, Qi Jiang +5

Optical flow estimation is a fundamental task in dynamic scene understanding and computer vision. While recent deep models achieve impressive accuracy on clean benchmarks, their ro…

cs.CV2024

EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data

Zhonghua Yi, Hao Shi, Qi Jiang +5

Event cameras, with high temporal resolution and high dynamic range, have limited research on the inter-modality local feature extraction and matching of event-image data. We propo…

cs.CV2024

E-3DGS: Gaussian Splatting with Exposure and Motion Events

Xiaoting Yin, Hao Shi, Yuhan Bao +4

Achieving 3D reconstruction from images captured under optimal conditions has been extensively studied in the vision and imaging fields. However, in real-world scenarios, challenge…

cs.RO2024

P2U-SLAM: A Monocular Wide-FoV SLAM System Based on Point Uncertainty and Pose Uncertainty

Yufan Zhang, Kailun Yang, Ze Wang +1

This paper presents P2U-SLAM, a visual Simultaneous Localization And Mapping (SLAM) system with a wide Field of View (FoV) camera, which utilizes pose uncertainty and point uncerta…

cs.CV2024

Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions

Xiaolong Qian, Qi Jiang, Yao Gao +8

Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for…

physics.optics2024

OmniLens: Towards Universal Lens Aberration Correction via LensLib-to-Specific Domain Adaptation

Qi Jiang, Yao Gao, Shaohua Gao +7

Emerging universal Computational Aberration Correction (CAC) paradigms provide an inspiring solution to light-weight and high-quality imaging with a universal model trained on a le…

cs.RO2024★ 1 cited

SF-TIM: A Simple Framework for Enhancing Quadrupedal Robot Jumping Agility by Combining Terrain Imagination and Measurement

Ze Wang, Yang Li, Long Xu +7

Dynamic jumping on high platforms and over gaps differentiates legged robots from wheeled counterparts. Dynamic locomotion on abrupt surfaces, as opposed to walking on rough terrai…

physics.optics2024

Design, analysis, and manufacturing of a glass-plastic hybrid minimalist aspheric panoramic annular lens

Shaohua Gao, Qi Jiang, Yiqi Liao +6

We propose a high-performance glass-plastic hybrid minimalist aspheric panoramic annular lens (ASPAL) to solve several major limitations of the traditional panoramic annular lens (…

eess.IV2024★ 1 cited

Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systems

Yao Gao, Qi Jiang, Shaohua Gao +3

Recently, joint design approaches that simultaneously optimize optical systems and downstream algorithms through data-driven learning have demonstrated superior performance over tr…

cs.CV2024★ 1 cited

MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model

Kang Zeng, Hao Shi, Jiacheng Lin +5

LiDAR-based Moving Object Segmentation (MOS) aims to locate and segment moving objects in point clouds of the current scan using motion information from previous scans. Despite the…

cs.CV2024

Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector Quantization

Qi Jiang, Zhonghua Yi, Shaohua Gao +8

Relying on paired synthetic data, existing learning-based Computational Aberration Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real dom…

cs.CV2024★ 1 cited

Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving

Hao Shi, Song Wang, Jiaming Zhang +5

Vision-based occupancy prediction, also known as 3D Semantic Scene Completion (SSC), presents a significant challenge in computer vision. Previous methods, confined to onboard proc…