1 code implementation • 25 Jan 2024 • Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
In this paper, we introduce a new open heterogeneous problem: how to accommodate continually emerging new heterogeneous agent types into collaborative perception, while ensuring high perception performance and low integration cost?
1 code implementation • 21 Jan 2024 • Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen
Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving.
1 code implementation • 1 Dec 2023 • Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang
The rapid growth of Large Language Models (LLMs) has been a driving force in transforming various domains, reshaping the artificial general intelligence landscape.
1 code implementation • ICCV 2023 • Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann
A central challenge of video prediction lies where the system has to reason the objects' future motions from image frames while simultaneously maintaining the consistency of their appearances across frames.
no code implementations • 28 May 2023 • Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Large amounts of incremental learning algorithms have been proposed to alleviate the catastrophic forgetting issue arises while dealing with sequential data on a time series.
no code implementations • 12 May 2023 • Cho-Ying Wu, Yiqi Zhong, Junying Wang, Ulrich Neumann
We instead propose fine-grained task that treats each RGB-D pair as a task in our meta-optimization.
Ranked #34 on Monocular Depth Estimation on NYU-Depth V2
no code implementations • CVPR 2023 • Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen, Yanfeng Wang
Second, a spatial-temporal pyramid transformer is introduced to comprehensively extract multi-scale BEV features and predict future BEV states with the support of spatial-temporal priors.
Ranked #2 on Bird's-Eye View Semantic Segmentation on nuScenes (IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 metric)
2 code implementations • 26 Sep 2022 • Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen
Where2comm has two distinct advantages: i) it considers pragmatic compression and uses less communication to achieve higher perception performance by focusing on perceptually critical areas; and ii) it can handle varying communication bandwidth by dynamically adjusting spatial areas involved in communication.
Ranked #1 on Monocular 3D Object Detection on CoPerception-UAVs
no code implementations • 20 Jul 2022 • Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann
In this work, we re-introduce this information as a new type of input data for trajectory forecasting systems: the local behavior data, which we conceptualize as a collection of location-specific historical trajectories.
no code implementations • 11 Jul 2022 • Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Yanfeng Wang, Ya zhang, Siheng Chen
Further, we apply the proposed framework to current SOTA multi-agent multi-modal forecasting systems as a plugin module, which enables the SOTA systems to 1) estimate the uncertainty in the multi-agent multi-modal trajectory forecasting task; 2) rank the multiple predictions and select the optimal one based on the estimated uncertainty.
1 code implementation • 10 Mar 2022 • Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang
Robustness of deep neural networks (DNNs) to malicious perturbations is a hot topic in trustworthy AI.
1 code implementation • CVPR 2022 • Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
A new type of non-invasive attacks emerged recently, which attempt to cast perturbation onto the target by optics based tools, such as laser beam and projector.
no code implementations • 17 Feb 2022 • Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng
Vehicle-to-everything (V2X) communication techniques enable the collaboration between vehicles and many other entities in the neighboring environment, which could fundamentally improve the perception system for autonomous driving.
2 code implementations • 4 Dec 2021 • Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
Finally, the probability of occupancy is also integrated into a proposal refinement module to generate the final bounding boxes.
Ranked #2 on 3D Object Detection on KITTI Cars Moderate
no code implementations • NeurIPS 2021 • Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Ya zhang, Siheng Chen
2) The results of trajectory forecasting benchmarks demonstrate that the CU-based framework steadily helps SOTA systems improve their performances.
1 code implementation • NeurIPS 2019 • Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann
Such a transformation enables CFCNet to predict features and reconstruct data of missing depth measurements according to their corresponding, transformed RGB features.