Xianda Guo

According to our database, Xianda Guo authored at least 31 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

GaitC³I: Robust Cross-Covariate Gait Recognition via Causal Intervention.

Jilong Wang, Saihui Hou, Xianda Guo, Yan Huang, Yongzhen Huang, Tianzhu Zhang, Liang Wang

IEEE Trans. Circuits Syst. Video Technol., August, 2025

DriveSplat: Decoupled Driving Scene Reconstruction with Geometry-enhanced Partitioned Neural Gaussians.

Cong Wang, Xianda Guo, Wenbo Xu, Wei Tian, Ruiqi Song, Chenming Zhang, Lingxi Li, Long Chen

CoRR, August, 2025

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving.

Xianda Guo, Ruijun Zhang, Yiqun Duan, Ruilin Wang, Keyuan Zhou, Wenzhao Zheng, Wenke Huang, Gangwei Xu, Mike Horton, Yuan Si, Hao Zhao, Long Chen

CoRR, August, 2025

Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline.

Xianda Guo, Zheng Zhu, Tian Yang, Beibei Lin, Junjie Huang, Jiankang Deng, Guan Huang, Jie Zhou, Jiwen Lu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Light of Normals: Unified Feature Representation for Universal Photometric Stereo.

Hong Li, Houyuan Chen, Chongjie Ye, Zhaoxi Chen, Bohan Li, Shaocong Xu, Xianda Guo, Xuhui Liu, Yikai Wang, Baochang Zhang, Satoshi Ikehata, Boxin Shi, Anyi Rao, Hao Zhao

CoRR, June, 2025

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving.

Anqing Jiang, Yu Gao, Zhigang Sun, Yiru Wang, Jijun Wang, Jinghao Chai, Qian Cao, Yuweng Heng, Hao Jiang, Zongzheng Zhang, Xianda Guo, Hao Sun, Hao Zhao

CoRR, May, 2025

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation.

Jian Liang, Wenke Huang, Xianda Guo, Guancheng Wan, Bo Du, Mang Ye

CoRR, May, 2025

Exploring Generalized Gait Recognition: Reducing Redundancy and Noise within Indoor and Outdoor Datasets.

Qian Zhou, Xianda Guo, Jilong Wang, Chuanfu Shen, Zhongyuan Wang, Hua Zou, Qin Zou, Chao Liang, Long Chen, Gang Wu

CoRR, May, 2025

InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving.

Ruiqi Song, Xianda Guo, Hangbin Wu, Qinggong Wei, Long Chen

CoRR, March, 2025

Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models.

Xiaozhen Qiao, Peng Huang, Jiakang Yuan, Xianda Guo, Bowen Ye, Zhe Sun, Xuelong Li

CoRR, March, 2025

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.

Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du

CoRR, March, 2025

WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation.

Dujun Nie, Xianda Guo, Yiqun Duan, Ruijun Zhang, Long Chen

CoRR, March, 2025

2024

Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data.

Xianda Guo, Chenming Zhang, Youmin Zhang, Dujun Nie, Ruilin Wang, Wenzhao Zheng, Matteo Poggi, Long Chen

CoRR, 2024

DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving.

Xianda Guo, Ruijun Zhang, Yiqun Duan, Yuhang He, Chenming Zhang, Shuai Liu, Long Chen

CoRR, 2024

LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation.

Xianda Guo, Chenming Zhang, Dujun Nie, Wenzhao Zheng, Youmin Zhang, Long Chen

CoRR, 2024

Instruct Large Language Models to Drive like Humans.

Ruijun Zhang, Xianda Guo, Wenzhao Zheng, Chenming Zhang, Kurt Keutzer, Long Chen

CoRR, 2024

MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving.

Yiqun Duan, Xianda Guo, Zheng Zhu, Zhen Wang, Yu-Kai Wang, Chin-Teng Lin

CoRR, 2024

GenAD: Generative End-to-End Autonomous Driving.

Wenzhao Zheng, Ruiqi Song, Xianda Guo, Long Chen

CoRR, 2024

AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion.

Yuting Xie, Xianda Guo, Cong Wang, Kunhua Liu, Long Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

GenAD: Generative End-to-End Autonomous Driving.

Wenzhao Zheng, Ruiqi Song, Xianda Guo, Chenming Zhang, Long Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation.

Yiquan Duan, Xianda Guo, Zheng Zhu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline.

Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan, Tian Yang, Zheng Zhu, Long Chen

CoRR, 2023

Multi-Prompt with Depth Partitioned Cross-Modal Learning.

Yiqi Wang, Xianda Guo, Zheng Zhu, Yingjie Tian

CoRR, 2023

A Simple Baseline for Supervised Surround-view Depth Estimation.

Xianda Guo, Wenjie Yuan, Yunpeng Zhang, Tian Yang, Chenming Zhang, Zheng Zhu

CoRR, 2023

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation.

Yiqun Duan, Zheng Zhu, Xianda Guo

CoRR, 2023

DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition.

Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CompletionFormer: Depth Completion with Convolutions and Vision Transformers.

Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Gait Recognition in the Wild: A Benchmark.

Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou

CoRR, 2022

GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework.

Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Xin Yu

CoRR, 2022

GaitStrip: Gait Recognition via Effective Strip-Based Feature Representations and Multi-level Framework.

Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Yu Liu, Xin Yu

Proceedings of the Computer Vision - ACCV 2022, 2022

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer.

Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia

Proceedings of the International Conference on 3D Vision, 2022