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2020 – today
- 2024
[c7]Wenzhao Zheng, Ruiqi Song, Xianda Guo, Chenming Zhang, Long Chen:
GenAD: Generative End-to-End Autonomous Driving. ECCV (65) 2024: 87-104- [c6]Yiquan Duan, Xianda Guo, Zheng Zhu:
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation. ECCV (11) 2024: 432-449 - [c5]Yuting Xie, Xianda Guo, Cong Wang, Kunhua Liu, Long Chen:
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion. IROS 2024: 9983-9989 - [i16]Wenzhao Zheng, Ruiqi Song, Xianda Guo, Long Chen:
GenAD: Generative End-to-End Autonomous Driving. CoRR abs/2402.11502 (2024) - [i15]Yiqun Duan, Xianda Guo, Zheng Zhu, Zhen Wang, Yu-Kai Wang, Chin-Teng Lin:
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving. CoRR abs/2405.07573 (2024) - [i14]Ruijun Zhang, Xianda Guo, Wenzhao Zheng, Chenming Zhang, Kurt Keutzer, Long Chen:
Instruct Large Language Models to Drive like Humans. CoRR abs/2406.07296 (2024) - [i13]Xianda Guo, Chenming Zhang, Dujun Nie, Wenzhao Zheng, Youmin Zhang, Long Chen:
LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation. CoRR abs/2406.19833 (2024) - [i12]Yuting Xie, Xianda Guo, Cong Wang, Kunhua Liu, Long Chen:
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion. CoRR abs/2410.08453 (2024) - [i11]Xianda Guo, Ruijun Zhang, Yiqun Duan, Yuhang He, Chenming Zhang, Shuai Liu, Long Chen:
DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving. CoRR abs/2411.13112 (2024) - [i10]Xianda Guo, Chenming Zhang, Youmin Zhang, Dujun Nie, Ruilin Wang, Wenzhao Zheng, Matteo Poggi, Long Chen:
Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data. CoRR abs/2411.14053 (2024) - 2023
- [c4]Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia
:
CompletionFormer: Depth Completion with Convolutions and Vision Transformers. CVPR 2023: 18527-18536 - [c3]Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu:
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition. ICCV 2023: 13378-13387 - [i9]Yiqun Duan, Zheng Zhu, Xianda Guo:
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation. CoRR abs/2303.05021 (2023) - [i8]Xianda Guo, Wenjie Yuan, Yunpeng Zhang, Tian Yang, Chenming Zhang, Zheng Zhu:
A Simple Baseline for Supervised Surround-view Depth Estimation. CoRR abs/2303.07759 (2023) - [i7]Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu:
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition. CoRR abs/2303.14953 (2023) - [i6]Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia:
CompletionFormer: Depth Completion with Convolutions and Vision Transformers. CoRR abs/2304.13030 (2023) - [i5]Yiqi Wang, Xianda Guo, Zheng Zhu, Yingjie Tian:
Multi-Prompt with Depth Partitioned Cross-Modal Learning. CoRR abs/2305.06221 (2023) - [i4]Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan, Tian Yang, Zheng Zhu, Long Chen:
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline. CoRR abs/2312.00343 (2023) - 2022
- [c2]Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia:
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. 3DV 2022: 668-678 - [c1]Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Yu Liu, Xin Yu:
GaitStrip: Gait Recognition via Effective Strip-Based Feature Representations and Multi-level Framework. ACCV (4) 2022: 711-727 - [i3]Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Xin Yu:
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework. CoRR abs/2203.03966 (2022) - [i2]Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou:
Gait Recognition in the Wild: A Benchmark. CoRR abs/2205.02692 (2022) - [i1]Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia:
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. CoRR abs/2208.03543 (2022)
Coauthor Index
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