Long-term Tracking Based on Deep Learning. - Ming Wu 001; Chuang Zhang; Zhongkai Sun; Xiaoqi Li 009 (IMCOM, 2018)

Towards Accurate High Resolution Satellite Image Semantic Segmentation. - Ming Wu 001; Chuang Zhang; Jiaming Liu 003; Lichen Zhou; Xiaoqi Li 009 (IEEE Access, 2019)

SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution. - Shizun Wang; Ming Lu; Kaixin Chen 001; Jiaming Liu 003; Xiaoqi Li 009; Chuang Zhang; Ming Wu 001 (BMVC, 2021)

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation. - Jiaming Liu 003; Ming Lu; Kaixin Chen 001; Xiaoqi Li 009; Shizun Wang; Zhaoqing Wang; Enhua Wu; Yurong Chen 001; Chuang Zhang; Ming Wu 001 (ICCV, 2021)

Efficient Meta-Tuning for Content-Aware Neural Video Delivery. - Xiaoqi Li 009; Jiaming Liu 003; Shizun Wang; Cheng Lyu; Ming Lu; Yurong Chen 001; Anbang Yao; Yandong Guo; Shanghang Zhang (ECCV (18), 2022)

Adaptive Patch Exiting for Scalable Single Image Super-Resolution. - Shizun Wang; Jiaming Liu 003; Kaixin Chen 001; Xiaoqi Li 009; Ming Lu; Yandong Guo (ECCV (18), 2022)

Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection. - Jiaming Liu 003; Rongyu Zhang; Xiaowei Chi; Xiaoqi Li 009; Ming Lu; Yandong Guo; Shanghang Zhang (CoRR, 2022)

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. - Rongyu Zhang; Lixuan Du; Jiaming Liu 003; Congcong Song; Fangxin Wang 001; Xiaoqi Li 009; Ming Lu; Yandong Guo; Shanghang Zhang (NOSSDAV, 2023)

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. - Senqiao Yang; Jiarui Wu; Jiaming Liu 003; Xiaoqi Li 009; Qizhe Zhang; Mingjie Pan; Yulu Gan; Shanghang Zhang (CoRR, 2023)

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. - Mingjie Pan; Jiaming Liu 003; Renrui Zhang; Peixiang Huang; Xiaoqi Li 009; Li Liu; Shanghang Zhang (CoRR, 2023)

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. - Jiayi Ni; Senqiao Yang; Jiaming Liu 003; Xiaoqi Li 009; Wenyu Jiao; Ran Xu 013; Zehui Chen; Yi Liu; Shanghang Zhang (CoRR, 2023)

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. - Senqiao Yang; Jiaming Liu 003; Ray Zhang 002; Mingjie Pan; Zoey Guo; Xiaoqi Li 009; Zehui Chen; Peng Gao 007; Yandong Guo; Shanghang Zhang (CoRR, 2023)

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. - Senqiao Yang; Jiarui Wu; Jiaming Liu 003; Xiaoqi Li 009; Qizhe Zhang; Mingjie Pan; Yulu Gan; Zehui Chen; Shanghang Zhang (AAAI, 2024)

NaturalVLM: Leveraging Fine-Grained Natural Language for Affordance-Guided Visual Manipulation. - Ran Xu 013; Yan Shen 035; Xiaoqi Li 009; Ruihai Wu; Hao Dong 003 (IEEE Robotics Autom. Lett., 2024)

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. - Senqiao Yang; Jiaming Liu 003; Renrui Zhang; Mingjie Pan; Ziyu Guo; Xiaoqi Li 009; Zehui Chen; Peng Gao 007; Hongsheng Li 001; Yandong Guo; Shanghang Zhang (AAAI, 2025)

Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation. - Xiaoqi Li 009; Jingyun Xu; Mingxu Zhang; Jiaming Liu 003; Yan Shen 035; Iaroslav Ponomarenko; Jiahui Xu; Liang Heng; Siyuan Huang 004; Shanghang Zhang; Hao Dong 003 (CVPR, 2025)

Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation. - Yueru Jia; Jiaming Liu 003; Sixiang Chen; Chenyang Gu; Zhilue Wang; Longzan Luo; Xiaoqi Li 009; Pengwei Wang 004; Zhongyuan Wang 006; Renrui Zhang; Shanghang Zhang (CVPR, 2025)

BEVUDA++: Geometric-Aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection. - Rongyu Zhang; Jiaming Liu 003; Xiaoqi Li 009; Xiaowei Chi; Dan Wang 002; Li Du; Yuan Du; Shanghang Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)