Search Results for author: Yiqi Zhong

Found 16 papers, 9 papers with code

An Extensible Framework for Open Heterogeneous Collaborative Perception

1 code implementation25 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?

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals

1 code implementation21 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.

Autonomous Driving motion prediction

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey

1 code implementation1 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.

Model Compression

MMVP: Motion-Matrix-based Video Prediction

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.

motion prediction Video Prediction

Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study

no code implementations28 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.

Adversarial Robustness Backdoor Attack +3

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

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)

Autonomous Driving Bird's-Eye View Semantic Segmentation

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps

2 code implementations26 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.

Monocular 3D Object Detection object-detection

Aware of the History: Trajectory Forecasting with the Local Behavior Data

no code implementations20 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.

Knowledge Distillation Trajectory Forecasting

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

no code implementations11 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.

regression Task 2 +1

Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness

1 code implementation10 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.

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

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.

Adversarial Attack Traffic Sign Recognition +1

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving

no code implementations17 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.

Autonomous Driving

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

2 code implementations4 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.

3D Object Detection Object +2

Collaborative Uncertainty in Multi-Agent Trajectory Forecasting

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.

Trajectory Forecasting

Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

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.

Depth Completion

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