MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. - Chaoqiang Zhao; Youmin Zhang 008; Matteo Poggi; Fabio Tosi; Xianda Guo; Zheng Zhu; Guan Huang 003; Yang Tang; Stefano Mattoccia (3DV, 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 001; Shunli Zhang; Yu Liu; Xin Yu 002 (ACCV (4), 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 001; Shunli Zhang; Xin Yu 002 (CoRR, 2022)

Gait Recognition in the Wild: A Benchmark. - Zheng Zhu; Xianda Guo; Tian Yang; Junjie Huang 005; Jiankang Deng; Guan Huang 003; Dalong Du; Jiwen Lu; Jie Zhou 001 (CoRR, 2022)

CompletionFormer: Depth Completion with Convolutions and Vision Transformers. - Youmin Zhang 008; Xianda Guo; Matteo Poggi; Zheng Zhu; Guan Huang 003; Stefano Mattoccia (CVPR, 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 002 (ICCV, 2023)

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation. - Yiqun Duan; Zheng Zhu; Xianda Guo (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)

Multi-Prompt with Depth Partitioned Cross-Modal Learning. - Yiqi Wang; Xianda Guo; Zheng Zhu; Yingjie Tian 002 (CoRR, 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 005 (CoRR, 2023)

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation. - Yiquan Duan; Xianda Guo; Zheng Zhu (ECCV (11), 2024)

GenAD: Generative End-to-End Autonomous Driving. - Wenzhao Zheng; Ruiqi Song; Xianda Guo; Chenming Zhang; Long Chen 005 (ECCV (65), 2024)

AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion. - Yuting Xie; Xianda Guo; Cong Wang; Kunhua Liu; Long Chen 005 (IROS, 2024)

GenAD: Generative End-to-End Autonomous Driving. - Wenzhao Zheng; Ruiqi Song; Xianda Guo; Long Chen 005 (CoRR, 2024)

MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving. - Yiqun Duan; Xianda Guo; Zheng Zhu; Zhen Wang 030; Yu-Kai Wang; Chin-Teng Lin (CoRR, 2024)

Instruct Large Language Models to Drive like Humans. - Ruijun Zhang; Xianda Guo; Wenzhao Zheng; Chenming Zhang; Kurt Keutzer; Long Chen 005 (CoRR, 2024)

LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation. - Xianda Guo; Chenming Zhang; Dujun Nie; Wenzhao Zheng; Youmin Zhang 008; Long Chen 005 (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 009; Long Chen 005 (CoRR, 2024)

Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data. - Xianda Guo; Chenming Zhang; Youmin Zhang 008; Dujun Nie; Ruilin Wang; Wenzhao Zheng; Matteo Poggi; Long Chen 005 (CoRR, 2024)

WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation. - Dujun Nie; Xianda Guo; Yiqun Duan; Ruijun Zhang; Long Chen 005 (CoRR, 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang; Jian Liang 001; Xianda Guo; Yiyang Fang; Guancheng Wan; Xuankun Rong; Chi Wen; Zekun Shi; Qingyun Li; Didi Zhu; Yanbiao Ma; Ke Liang; et al. (CoRR, 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 001 (CoRR, 2025)

InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving. - Ruiqi Song; Xianda Guo; Hangbin Wu; Qinggong Wei; Long Chen 005 (CoRR, 2025)

Exploring Generalized Gait Recognition: Reducing Redundancy and Noise within Indoor and Outdoor Datasets. - Qian Zhou 001; Xianda Guo; Jilong Wang 010; Chuanfu Shen; Zhongyuan Wang 001; Hua Zou; Qin Zou 001; Chao Liang 001; Long Chen 005; Gang Wu (CoRR, 2025)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation. - Jian Liang 001; Wenke Huang; Xianda Guo; Guancheng Wan; Bo Du 001; Mang Ye (CoRR, 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; et al. (CoRR, 2025)

Light of Normals: Unified Feature Representation for Universal Photometric Stereo. - Hong Li 016; Houyuan Chen; Chongjie Ye; Zhaoxi Chen 009; Bohan Li; Shaocong Xu; Xianda Guo; Xuhui Liu; Yikai Wang; Baochang Zhang 001; Satoshi Ikehata; Boxin Shi; et al. (CoRR, 2025)

Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline. - Xianda Guo; Zheng Zhu; Tian Yang; Beibei Lin; Junjie Huang 005; Jiankang Deng; Guan Huang 003; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 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 005 (CoRR, 2025)

DriveSplat: Decoupled Driving Scene Reconstruction with Geometry-enhanced Partitioned Neural Gaussians. - Cong Wang; Xianda Guo; Wenbo Xu; Wei Tian 001; Ruiqi Song; Chenming Zhang; Lingxi Li 001; Long Chen 005 (CoRR, 2025)

GaitC3I: Robust Cross-Covariate Gait Recognition via Causal Intervention. - Jilong Wang 010; Saihui Hou; Xianda Guo; Yan Huang 008; Yongzhen Huang; Tianzhu Zhang 001; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)