Search Results - "Zhong, Yiqi"

Lightweight Knowledge Distillation-Based Transfer Learning Framework for Rolling Bearing Fault Diagnosis by Lu, Ruijia, Liu, Shuzhi, Gong, Zisu, Xu, Chengcheng, Ma, Zonghe, Zhong, Yiqi, Li, Baojian

“…Compared to fault diagnosis across operating conditions, the differences in data distribution between devices are more pronounced and better aligned with…”
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V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving by Li, Yiming, Ma, Dekun, An, Ziyan, Wang, Zixun, Zhong, Yiqi, Chen, Siheng, Feng, Chen

“…Vehicle-to-everything (V2X) communication techniques enable the collaboration between vehicles and many other entities in the neighboring environment, which…”
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Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon by Zhong, Yiqi, Liu, Xianming, Zhai, Deming, Jiang, Junjun, Ji, Xiangyang

“…Estimating the risk level of adversarial examples is essential for safely deploying machine learning models in the real world. One popular approach for…”
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Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting by Tang, Bohan, Zhong, Yiqi, Xu, Chenxin, Wu, Wei-Tao, Neumann, Ulrich, Zhang, Ya, Chen, Siheng, Wang, Yanfeng

“…In multi-modal multi-agent trajectory forecasting, two major challenges have not been fully tackled: 1) how to measure the uncertainty brought by the…”
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Effect of annular baffles on the pulsed-jet performance of dust filter cartridge regeneration by Wu, Quanquan, Xie, Wenjun, Chen, Jianwu, Li, Jianlong, Zhong, Yiqi, Ai, Ziang, Huang, Hong, Ma, Zhifei, Yang, Bin, Sun, Yanqiu, Zhou, Fubao, Wu, Daishe

“…In this study, a new method to establish an annular baffle at the dust filter cartridge opening is proposed to improve the reverse pulsed-jet airflow of the…”
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TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving by Fang, Shaoheng, Wang, Zi, Zhong, Yiqi, Ge, Junhao, Chen, Siheng

“…Vision-centric joint perception and prediction (PnP) has become an emerging trend in autonomous driving research. It predicts the future states of the traffic…”
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Motion Graph Unleashed: A Novel Approach to Video Prediction by Zhong, Yiqi, Liang, Luming, Tang, Bohan, Zharkov, Ilya, Neumann, Ulrich

“…We introduce motion graph, a novel approach to the video prediction problem, which predicts future video frames from limited past data. The motion graph…”
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Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization by Wu, Cho-Ying, Zhong, Yiqi, Wang, Junying, Neumann, Ulrich

“…Indoor robots rely on depth to perform tasks like navigation or obstacle detection, and single-image depth estimation is widely used to assist perception. Most…”
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MMVP: Motion-Matrix-based Video Prediction by Zhong, Yiqi, Liang, Luming, Zharkov, Ilya, Neumann, Ulrich

“…A central challenge of video prediction lies where the system has to reason the objects' future motions from image frames while simultaneously maintaining the…”
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Behind the Curtain: Learning Occluded Shapes for 3D Object Detection by Xu, Qiangeng, Zhong, Yiqi, Neumann, Ulrich

“…AAAI2022 Advances in LiDAR sensors provide rich 3D data that supports 3D scene understanding. However, due to occlusion and signal miss, LiDAR point clouds are…”
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Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study by Zhong, Yiqi, Liu, Xianming, Zhai, Deming, Jiang, Junjun, Ji, Xiangyang

“…Large amounts of incremental learning algorithms have been proposed to alleviate the catastrophic forgetting issue arises while dealing with sequential data on…”
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Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction by Wu, Cho-Ying, Zhong, Yiqi, Wang, Junying, Neumann, Ulrich

“…Model generalizability to unseen datasets, concerned with in-the-wild robustness, is less studied for indoor single-image depth prediction. We leverage…”
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Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps by Hu, Yue, Fang, Shaoheng, Lei, Zixing, Zhong, Yiqi, Chen, Siheng

“…Multi-agent collaborative perception could significantly upgrade the perception performance by enabling agents to share complementary information with each…”
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Aware of the History: Trajectory Forecasting with the Local Behavior Data by Zhong, Yiqi, Ni, Zhenyang, Chen, Siheng, Neumann, Ulrich

“…The historical trajectories previously passing through a location may help infer the future trajectory of an agent currently at this location. Despite great…”
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An Extensible Framework for Open Heterogeneous Collaborative Perception by Lu, Yifan, Hu, Yue, Zhong, Yiqi, Wang, Dequan, Wang, Yanfeng, Chen, Siheng

“…Collaborative perception aims to mitigate the limitations of single-agent perception, such as occlusions, by facilitating data exchange among multiple agents…”
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Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals by Fang, Shaoheng, Liu, Zuhong, Wang, Mingyu, Xu, Chenxin, Zhong, Yiqi, Chen, Siheng

“…Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving. Current…”
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A propos de la discussion du nom et de la réalité dans l'antiquité grecque et chinoise by Zhong, Yiqi, Yang, Yanru

“…The relationship between form and meaning of linguistic signs has been a philosophical, linguistic and semiotic concern since ancient times. Before Ferdinand…”
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Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness by Zhong, Yiqi, Wu, Lei, Liu, Xianming, Jiang, Junjun

“…Robustness of deep neural networks (DNNs) to malicious perturbations is a hot topic in trustworthy AI. Existing techniques obtain robust models given fixed…”
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Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon by Zhong, Yiqi, Liu, Xianming, Zhai, Deming, Jiang, Junjun, Ji, Xiangyang

“…Estimating the risk level of adversarial examples is essential for safely deploying machine learning models in the real world. One popular approach for…”
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Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow by Wei, Sizhe, Wei, Yuxi, Hu, Yue, Lu, Yifan, Zhong, Yiqi, Chen, Siheng, Zhang, Ya

“…Collaborative perception can substantially boost each agent's perception ability by facilitating communication among multiple agents. However, temporal…”
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