Junbao Zhuo

Orcid: 0000-0001-9587-498X

According to our database1, Junbao Zhuo authored at least 30 papers between 2017 and 2026.

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

Timeline

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Bibliography

2026
Implicit alignment and query refinement for RGB-T semantic segmentation.
Pattern Recognit., 2026

2025
Two-stage fine-tuning CLIP by introducing structure knowledge for few-shot classification.
Vis. Comput., October, 2025

ME-TST+: Micro-expression Analysis via Temporal State Transition with ROI Relationship Awareness.
CoRR, August, 2025

AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios.
CoRR, June, 2025

RhythmFormer: Extracting patterned rPPG signals based on periodic sparse attention.
Pattern Recognit., 2025

PIC: Domain generalization by path information constraint.
Pattern Recognit., 2025

SparseComm: An Efficient Sparse Communication Framework for Vehicle-Infrastructure Cooperative 3D Detection.
Pattern Recognit., 2025

Occlusion-guided multi-modal fusion for vehicle-infrastructure cooperative 3D object detection.
Pattern Recognit., 2025

SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Image-to-video Adaptation with Outlier Modeling and Robust Self-learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Affinity3D: Propagating Instance-Level Semantic Affinity for Zero-Shot Point Cloud Semantic Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unsupervised Image-to-Video Adaptation via Category-aware Flow Memory Bank and Realistic Video Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CMT: Co-training Mean-Teacher for Unsupervised Domain Adaptation on 3D Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning Invariant Representation with Consistency and Diversity for Semi-Supervised Source Hypothesis Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2024

Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments.
IEEE Trans. Multim., 2023

Synthesizing Videos from Images for Image-to-Video Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adaptive Feature Swapping for Unsupervised Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Orthogonal Temporal Interpolation for Zero-Shot Video Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Zero-shot Video Classification with Appropriate Web and Task Knowledge Transfer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Concept Propagation via Attentional Knowledge Graph Reasoning for Video-Text Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Linguistic Association Towards Efficient Text-Video Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting Unsupervised Domain Adaptation Models: A Smoothness Perspective.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation.
CoRR, 2021

Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer.
CoRR, 2021

2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017
Deep Unsupervised Convolutional Domain Adaptation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017


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