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Yihong Xu

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Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression

Jul 12, 2023
Jinglei Shi, Yihong Xu, Christine Guillemot

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Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving

Jun 15, 2023
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez

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Learning-based Spatial and Angular Information Separation for Light Field Compression

Apr 13, 2023
Jinglei Shi, Yihong Xu, Christine Guillemot

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DNN Training Acceleration via Exploring GPGPU Friendly Sparsity

Mar 11, 2022
Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang

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CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction

Mar 09, 2022
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

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TransCenter: Transformers with Dense Queries for Multiple-Object Tracking

Mar 28, 2021
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

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DeepMOT: A Differentiable Framework for Training Multiple Object Trackers

Jun 15, 2019
Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud

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