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2020 – today
- 2024
[j3]Ruijia Lu, Shuzhi Liu
, Zisu Gong, Chengcheng Xu, Zonghe Ma, Yiqi Zhong, Baojian Li:
Lightweight Knowledge Distillation-Based Transfer Learning Framework for Rolling Bearing Fault Diagnosis. Sensors 24(6): 1758 (2024)- [c13]Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen:
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. AAAI 2024: 1726-1734 - [c12]Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen:
An Extensible Framework for Open Heterogeneous Collaborative Perception. ICLR 2024 - [i19]Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen:
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. CoRR abs/2401.11499 (2024) - [i18]Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, Yanfeng Wang:
An Extensible Framework for Open Heterogeneous Collaborative Perception. CoRR abs/2401.13964 (2024) - [i17]Cho-Ying Wu, Yiqi Zhong, Junying Wang, Ulrich Neumann:
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization. CoRR abs/2409.02486 (2024) - [i16]Yiqi Zhong, Luming Liang, Bohan Tang, Ilya Zharkov, Ulrich Neumann:
Motion Graph Unleashed: A Novel Approach to Video Prediction. CoRR abs/2410.22288 (2024) - 2023
- [j2]Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Ya Zhang, Siheng Chen, Yanfeng Wang:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13297-13313 (2023) - [c11]Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen:
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. CVPR 2023: 1368-1378 - [c10]Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann:
MMVP: Motion-Matrix-based Video Prediction. ICCV 2023: 4250-4260 - [c9]Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang:
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. NeurIPS 2023 - [i15]Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen, Yanfeng Wang:
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. CoRR abs/2303.09998 (2023) - [i14]Cho-Ying Wu, Yiqi Zhong, Junying Wang, Ulrich Neumann:
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction. CoRR abs/2305.07269 (2023) - [i13]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR abs/2305.18384 (2023) - [i12]Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann:
MMVP: Motion-Matrix-based Video Prediction. CoRR abs/2308.16154 (2023) - [i11]Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang:
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. CoRR abs/2309.16940 (2023) - [i10]Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang:
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR abs/2312.00678 (2023) - 2022
- [j1]Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng:
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving. IEEE Robotics Autom. Lett. 7(4): 10914-10921 (2022) - [c8]Qiangeng Xu, Yiqi Zhong, Ulrich Neumann:
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. AAAI 2022: 2893-2901 - [c7]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR 2022: 15324-15333 - [c6]Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann:
Aware of the History: Trajectory Forecasting with the Local Behavior Data. ECCV (22) 2022: 393-409 - [c5]Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen:
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps. NeurIPS 2022 - [i9]Yiming Li, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng:
V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. CoRR abs/2202.08449 (2022) - [i8]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR abs/2203.03818 (2022) - [i7]Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang:
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. CoRR abs/2203.05323 (2022) - [i6]Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Yanfeng Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. CoRR abs/2207.05195 (2022) - [i5]Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann:
Aware of the History: Trajectory Forecasting with the Local Behavior Data. CoRR abs/2207.09646 (2022) - [i4]Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen:
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps. CoRR abs/2209.12836 (2022) - 2021
- [c4]Yiqi Zhong, Jiahui Li, Tingting Chai, Shitala Prasad, Zhaoxin Zhang:
Different Dimension Issues in Deep Feature Space for Finger-Vein Recognition. CCBR 2021: 295-303 - [c3]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. NeurIPS 2021: 6328-6340 - [i3]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. CoRR abs/2110.13947 (2021) - [i2]Qiangeng Xu, Yiqi Zhong, Ulrich Neumann:
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. CoRR abs/2112.02205 (2021) - 2020
- [c2]Yiqi Zhong, Suya You, Ulrich Neumann:
Modeling Cross-Modal Interaction in a Multi-detector, Multi-modal Tracking Framework. ACCV (2) 2020: 683-699
2010 – 2019
- 2019
- [c1]Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann:
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion. NeurIPS 2019: 5332-5342 - [i1]Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann:
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion. CoRR abs/1906.08967 (2019)
Coauthor Index
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