5 citations · 5 across the 12 of their papers we have counts for
13 papers
E-S2Feat:Semantic-Guided Spiking Local Feature Detection and Description for Event Cameras
Yang Yi, Juntao Hua, Jinpu Zhang +3
Benefiting from high temporal resolution and dynamic range, event-based local feature methods have attracted increasing attention. However, event sparsity, noise, and limited textu…
ConFi-GS Confidence-Guided High-Frequency Injection for 3D Gaussian Splatting Super-Resolution
Jiaxiang Li, Zongtan Zhou, Zhen Tan +2
Reconstructing high-quality 3D scenes from low-resolution multi-view images remains challenging for 3D Gaussian Splatting (3DGS), because insufficient high-frequency observations o…
Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction
Zhenhua Du, Zhen Tan, Haoyu Zhang +3
While 3D Gaussian Splatting has achieved remarkable success in photorealistic novel view synthesis, its pursuit of fast and high-fidelity 3D reconstruction has long been constraine…
Event-based SLAM Benchmark for High-Speed Maneuvers
Sheng Zhong, Junkai Niu, Guillermo Gallego +7
Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to ha…
GESS: Multi-cue Guided Local Feature Learning via Geometric and Semantic Synergy
Yang Yi, Xieyuanli Chen, Jinpu Zhang +2
Robust local feature detection and description are foundational tasks in computer vision. Existing methods primarily rely on single appearance cues for modeling, leading to unstabl…
TAPFormer: Robust Arbitrary Point Tracking via Transient Asynchronous Fusion of Frames and Events
Jiaxiong Liu, Zhen Tan, Jinpu Zhang +4
Tracking any point (TAP) is a fundamental yet challenging task in computer vision, requiring high precision and long-term motion reasoning. Recent attempts to combine RGB frames an…
TVG-SLAM: Robust Gaussian Splatting SLAM with Tri-view Geometric Constraints
Zhen Tan, Xieyuanli Chen, Lei Feng +4
Recent advances in 3D Gaussian Splatting (3DGS) have enabled RGB-only SLAM systems to achieve high-fidelity scene representation. However, the heavy reliance of existing systems on…
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
Jingjun Yang, Liangwei Fan, Jinpu Zhang +3
The integration of image and event streams offers a promising approach for achieving robust visual object tracking in complex environments. However, current fusion methods achieve…
Uncertainty-Aware Normal-Guided Gaussian Splatting for Surface Reconstruction from Sparse Image Sequences
Zhen Tan, Xieyuanli Chen, Jinpu Zhang +2
3D Gaussian Splatting (3DGS) has achieved impressive rendering performance in novel view synthesis. However, its efficacy diminishes considerably in sparse image sequences, where i…
A Plug-and-Play Learning-based IMU Bias Factor for Robust Visual-Inertial Odometry
Yang Yi, Kunqing Wang, Jinpu Zhang +4
Accurate and reliable estimation of biases of low-cost Inertial Measurement Units (IMU) is a key factor to maintain the resilience of Visual-Inertial Odometry (VIO), particularly w…
Tracking Any Point with Frame-Event Fusion Network at High Frame Rate
Jiaxiong Liu, Bo Wang, Zhen Tan +3
Tracking any point based on image frames is constrained by frame rates, leading to instability in high-speed scenarios and limited generalization in real-world applications. To ove…
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement
Zhongyan Niu, Zhen Tan, Jinpu Zhang +2
Visual localization refers to the process of determining camera poses and orientation within a known scene representation. This task is often complicated by factors such as changes…
TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization
Zhen Tan, Zongtan Zhou, Yangbing Ge +3
The reliance on accurate camera poses is a significant barrier to the widespread deployment of Neural Radiance Fields (NeRF) models for 3D reconstruction and SLAM tasks. The existi…