activity
20232025
most citedPointGPT: Auto-regressively Generative Pre-training from Point Clouds

33 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

ChatStitch: Visualizing Through Structures via Surround-View Unsupervised Deep Image Stitching with Collaborative LLM-Agents

Hao Liang, Zhipeng Dong, Kaixin Chen +4

Surround-view perception has garnered significant attention for its ability to enhance the perception capabilities of autonomous driving vehicles through the exchange of informatio…

cs.RO2024★ 3 cited

Unified Vertex Motion Estimation for Integrated Video Stabilization and Stitching in Tractor-Trailer Wheeled Robots

Hao Liang, Zhipeng Dong, Hao Li +3

Tractor-trailer wheeled robots need to perform comprehensive perception tasks to enhance their operations in areas such as logistics parks and long-haul transportation. The percept…

cs.CV2023★ 33 cited

PointGPT: Auto-regressively Generative Pre-training from Point Clouds

Guangyan Chen, Meiling Wang, Yi Yang +3

Large language models (LLMs) based on the generative pre-training transformer (GPT) have demonstrated remarkable effectiveness across a diverse range of downstream tasks. Inspired…

cs.CV2023★ 1 cited

Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Image

Dianyi Yang, Jiadong Tang, Yu Gao +2

Fisheye cameras suffer from image distortion while having a large field of view(LFOV). And this fact leads to poor performance on some fisheye vision tasks. One of the solutions is…

cs.CV2023

CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images

Xihan Wang, Xi Xu, Yu Gao +3

Modern object detectors take advantage of rectangular bounding boxes as a conventional way to represent objects. When it comes to fisheye images, rectangular boxes involve more bac…

cs.CV2023

DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking

Yu Gao, Xi Xu, Tianji Jiang +4

Object detection and pose estimation are difficult tasks in robotics and autonomous driving. Existing object detection and pose estimation methods mostly adopt the same-dimensional…