Yuwen Xiong

According to our database1, Yuwen Xiong authored at least 30 papers between 2016 and 2024.

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Bibliography

2024
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer.
CoRR, 2024

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.
CoRR, 2024

2023
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation.
CoRR, 2023

Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.
CoRR, 2023

Towards Unsupervised Object Detection from LiDAR Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Compact Representations for LiDAR Completion and Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.
Proceedings of the Conference on Robot Learning, 2023

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Rethinking Closed-Loop Training for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Network Automatic Pruning: Start NAP and Take a Nap.
CoRR, 2021

Cost-Efficient Online Hyperparameter Optimization.
CoRR, 2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting.
CoRR, 2021

Safety-Oriented Pedestrian Occupancy Forecasting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Self-Supervised Representation Learning from Flow Equivariance.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
LoCo: Local Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised 3D Shape Completion in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

PolyTransform: Deep Polygon Transformer for Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning to Remember from a Multi-Task Teacher.
CoRR, 2019

Deformable Filter Convolution for Point Cloud Reasoning.
CoRR, 2019

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

UPSNet: A Unified Panoptic Segmentation Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Rigid Instance Scene Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Inference in Probabilistic Graphical Models by Graph Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Reviving and Improving Recurrent Back-Propagation.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Deformable Convolutional Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Feature Flow for Video Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016


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