Search Results for author: Hao Xiao

Found 5 papers, 0 papers with code

Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains

no code implementations28 May 2024 Zhenjie Zhang, Yuyang Rao, Hao Xiao, Xiaokui Xiao, Yin Yang

Unlike traditional approaches based on validating inference procedures, such as ZKML or OPML, our PoQ paradigm focuses on the outcome quality of model inference.

DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection

no code implementations17 May 2024 Zhe Huang, Yizhe Zhao, Hao Xiao, Chenyan Wu, Lingting Ge

Recent advances in multi-view camera-only 3D object detection either rely on an accurate reconstruction of bird's-eye-view (BEV) 3D features or on traditional 2D perspective view (PV) image features.

3D Object Detection object-detection

MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

no code implementations5 Dec 2023 Yiqian Gan, Hao Xiao, Yizhe Zhao, Ethan Zhang, Zhe Huang, Xin Ye, Lingting Ge

Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types.

Autonomous Driving Decoder +1

SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections

no code implementations2 Jun 2023 Ethan Zhang, Hao Xiao, Yiqian Gan, Lei Wang

In this work we propose a deep learning model, i. e., SAPI, to predict vehicle trajectories at intersections.

Autonomous Vehicles Decoder +1

Group Re-Identification with Multi-grained Matching and Integration

no code implementations17 May 2019 Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei

The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem. Group re-identification (Re-ID) is a very challenging task sinceit is not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes in group layout andgroup membership.

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