12 citations · 41 across the 34 of their papers we have counts for
33 papers · 1 filter
Cube-Splat: High-Fidelity 360° Gaussian Splatting SLAM via Cubemap Factorization and Adjoint-Consistent Optimization
Xiangfei Guo, Hao Shi, Yufan Zhang +4
Recent progress in 3D Gaussian Splatting (3DGS) has enabled dense visual SLAM with pinhole cameras, yet most pipelines are not designed for panoramic imagery. We present Cube-Splat…
PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM
Yongqi Mao, Hao Shi, Yufan Zhang +3
Real-time dense SLAM is a core capability for robotics applications that require robust localization and high- quality mapping in dynamic or fast-changing environments. Recent 3D G…
Label-Free Target-Domain Adaptation for Unconstrained Event-Image Feature Matching via Dual-Stage Distillation
Zhonghua Yi, Hao Shi, Qi Jiang +3
Building pixel-level correspondence between event and image data is a fundamental task for multi-sensor systems. However, existing cross-modal matching methods are largely restrict…
Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions
Ze Dong, Hao Shi, Zejia Gao +3
Embodied robotic agents often perceive movies through an egocentric screen-view interface rather than native cinematic footage, introducing domain shifts such as viewpoint distorti…
E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes
Jiajun Zhai, Hao Shi, Shangwei Guo +2
Robotic Vision-Language-Action (VLA) models generalize well for open-ended manipulation, but their perception is fragile under sensing-stage degradations such as extreme low light,…
OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback
Kai Luo, Hao Shi, Kunyu Peng +4
To address panoramic distortion, large search space, and identity ambiguity under a 360° FoV, OmniTrack++ adopts a feedback-driven framework that progressively refines perception w…
Event-guided 3D Gaussian Splatting for Dynamic Human and Scene Reconstruction
Xiaoting Yin, Hao Shi, Kailun Yang +4
Reconstructing dynamic humans together with static scenes from monocular videos remains difficult, especially under fast motion, where RGB frames suffer from motion blur. Event cam…
Omnidirectional Multi-Object Tracking
Kai Luo, Hao Shi, Sheng Wu +6
Panoramic imagery, with its 360° field of view, offers comprehensive information to support Multi-Object Tracking (MOT) in capturing spatial and temporal relationships of surroundi…
EgoEvGesture: Gesture Recognition Based on Egocentric Event Camera
Luming Wang, Hao Shi, Xiaoting Yin +3
Egocentric gesture recognition is a pivotal technology for enhancing natural human-computer interaction, yet traditional RGB-based solutions suffer from motion blur and illuminatio…
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…
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…
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…
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…
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…
Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers
Jianbin Jiao, Xina Cheng, Weijie Chen +3
3D human pose estimation captures the human joint points in three-dimensional space while keeping the depth information and physical structure. That is essential for applications t…
Exploring Event-based Human Pose Estimation with 3D Event Representations
Xiaoting Yin, Hao Shi, Jiaan Chen +4
Human pose estimation is a fundamental and appealing task in computer vision. Although traditional cameras are commonly applied, their reliability decreases in scenarios under high…
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity
Hao Shi, Chengshan Pang, Jiaming Zhang +6
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehi…
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
Zhonghua Yi, Hao Shi, Kailun Yang +5
Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to…
Towards Anytime Optical Flow Estimation with Event Cameras
Yaozu Ye, Hao Shi, Kailun Yang +5
Event cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide on…
Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers
Qi Jiang, Shaohua Gao, Yao Gao +5
High-quality panoramic images with a Field of View (FoV) of 360° are essential for contemporary panoramic computer vision tasks. However, conventional imaging systems come with sop…
Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving
Siyu Li, Kailun Yang, Hao Shi +4
A semantic map of the road scene, covering fundamental road elements, is an essential ingredient in autonomous driving systems. It provides important perception foundations for pos…
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
Hao Shi, Yu Li, Kailun Yang +7
This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-v…
Delivering Arbitrary-Modal Semantic Segmentation
Jiaming Zhang, Ruiping Liu, Hao Shi +6
Multimodal fusion can make semantic segmentation more robust. However, fusing an arbitrary number of modalities remains underexplored. To delve into this problem, we create the DeL…
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View
Ze Shi, Hao Shi, Kailun Yang +3
Visual place recognition has gained significant attention in recent years as a crucial technology in autonomous driving and robotics. Currently, the two main approaches are the per…