23 citations · 29 across the 8 of their papers we have counts for
8 papers
NaCR: Visual Localization via NeRF-aided Camera Ray Regression
Yesheng Zhang, Xiang Dai, Xu Zhao +1
Visual localization (VL) is a fundamental technology for vision applications such as virtual reality. Recently, a novel VL paradigm, Camera Ray Regression (CRR), has emerged, which…
Structuring GUI Elements through Vision Language Models: Towards Action Space Generation
Yi Xu, Yesheng Zhang, Jiajia Liu +1
Multimodal large language models (MLLMs) have emerged as pivotal tools in enhancing human-computer interaction. In this paper we focus on the application of MLLMs in the field of g…
Trajectory Entropy: Modeling Game State Stability from Multimodality Trajectory Prediction
Yesheng Zhang, Wenjian Sun, Yuheng Chen +4
Complex interactions among agents present a significant challenge for autonomous driving in real-world scenarios. Recently, a promising approach has emerged, which formulates the i…
MESA: Effective Matching Redundancy Reduction by Semantic Area Segmentation
Yesheng Zhang, Shuhan Shen, Xu Zhao
We propose MESA and DMESA as novel feature matching methods, which utilize Segment Anything Model (SAM) to effectively mitigate matching redundancy. The key insight of our methods…
MESA: Matching Everything by Segmenting Anything
Yesheng Zhang, Xu Zhao
Feature matching is a crucial task in the field of computer vision, which involves finding correspondences between images. Previous studies achieve remarkable performance using lea…
Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching
Yesheng Zhang, Xu Zhao
Feature matching is a crucial technique in computer vision. A unified perspective for this task is to treat it as a searching problem, aiming at an efficient search strategy to nar…
Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection
Yesheng Zhang, Xu Zhao, Dahong Qian
Camera calibration is a crucial technique which significantly influences the performance of many robotic systems. Robustness and high precision have always been the pursuit of dive…
An End to End Network Architecture for Fundamental Matrix Estimation
Yesheng Zhang, Xu Zhao, Dahong Qian
In this paper, we present a novel end-to-end network architecture to estimate fundamental matrix directly from stereo images. To establish a complete working pipeline, different de…