Xiaoqi Li

Orcid: 0000-0001-8855-7759

Affiliations:
  • Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China


According to our database1, Xiaoqi Li authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.
CoRR, 2023

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation.
CoRR, 2023

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision.
CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.
CoRR, 2023

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery.
Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, 2023

2022
Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection.
CoRR, 2022

Adaptive Patch Exiting for Scalable Single Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Meta-Tuning for Content-Aware Neural Video Delivery.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2019
Towards Accurate High Resolution Satellite Image Semantic Segmentation.
IEEE Access, 2019

2018
Long-term Tracking Based on Deep Learning.
Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018


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