Xin Zhou

19 papers A* 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models.
CoRR
Kaijin Chen, Dingkang Liang, Xin Zhou, Yikang Ding, Xiaoqiang Liu, Pengfei Wan, Xiang Bai
2025 J jnl
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving.
CoRR
Zongchuang Zhao, Haoyu Fu, Dingkang Liang, Xin Zhou, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai
2025 J jnl
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation.
CoRR
Xin Zhou, Dingkang Liang, Sifan Tu, Xiwu Chen, Yikang Ding, Dingyuan Zhang, Feiyang Tan, Hengshuang Zhao, Xiang Bai
2025 J jnl
Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching.
CoRR
Xin Zhou, Dingkang Liang, Kaijin Chen, Tianrui Feng, Xiwu Chen, Hongkai Lin, Yikang Ding, Feiyang Tan, Hengshuang Zhao, Xiang Bai
2025 A* conf
MINIMA: Modality Invariant Image Matching.
CVPR
Jiangwei Ren, Xingyu Jiang, Zizhuo Li, Dingkang Liang, Xin Zhou, Xiang Bai
2025 J jnl
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models.
CoRR
Hongkai Lin, Dingkang Liang, Mingyang Du, Xin Zhou, Xiang Bai
2025 J jnl
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Dingkang Liang, Tianrui Feng, Xin Zhou, Yumeng Zhang, Zhikang Zou, Xiang Bai
2025 J jnl
Seeing the Future, Perceiving the Future: A Unified Driving World Model for Future Generation and Perception.
CoRR
Dingkang Liang, Dingyuan Zhang, Xin Zhou, Sifan Tu, Tianrui Feng, Xiaofan Li, Yumeng Zhang, Mingyang Du, Xiao Tan, Xiang Bai
2025 J jnl
The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey.
CoRR
Sifan Tu, Xin Zhou, Dingkang Liang, Xingyu Jiang, Yumeng Zhang, Xiaofan Li, Xiang Bai
2024 A* conf
A Unified Framework for 3D Scene Understanding.
NeurIPS
Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai
2024 J jnl
A Unified Framework for 3D Scene Understanding.
CoRR
Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai
2024 A* conf
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis.
CVPR
Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai
2024 J jnl
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis.
CoRR
Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai
2024 J jnl
MINIMA: Modality Invariant Image Matching.
CoRR
Xingyu Jiang, Jiangwei Ren, Zizhuo Li, Xin Zhou, Dingkang Liang, Xiang Bai
2024 J jnl
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning.
CoRR
Dingkang Liang, Tianrui Feng, Xin Zhou, Yumeng Zhang, Zhikang Zou, Xiang Bai
2024 A* conf
PointMamba: A Simple State Space Model for Point Cloud Analysis.
NeurIPS
Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai
2024 J jnl
PointMamba: A Simple State Space Model for Point Cloud Analysis.
CoRR
Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai
2023 — conf
Diffusion-Based 3D Object Detection with Random Boxes.
PRCV (2)
Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai
2023 J jnl
Diffusion-based 3D Object Detection with Random Boxes.
CoRR
Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai