Yihang Lou

Orcid: 0000-0002-8143-389X

According to our database1, Yihang Lou authored at least 35 papers between 2017 and 2023.

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

Timeline

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Links

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Bibliography

2023
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning.
IEEE Trans. Multim., 2023

Event-Based Semantic Segmentation With Posterior Attention.
IEEE Trans. Image Process., 2023

Shift Pruning: Equivalent Weight Pruning for CNN via Differentiable Shift Operator.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Test-Time Training-Free Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Switchable Representation Learning Framework with Self-Compatibility.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Bayesian Evidential Learning for Few-Shot Classification.
CoRR, 2022

Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning.
CoRR, 2022

Switchable Representation Learning Framework with Self-compatibility.
CoRR, 2022

Nonlinear Multi-Model Reuse.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchical Connectivity-Centered Clustering for Unsupervised Domain Adaptation on Person Re-Identification.
IEEE Trans. Image Process., 2021

Person30K: A Dual-Meta Generalization Network for Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm.
IEEE Trans. Multim., 2020

Disentangled Feature Learning Network for Vehicle Re-Identification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Embedding Adversarial Learning for Vehicle Re-Identification.
IEEE Trans. Image Process., 2019

Front-End Smart Visual Sensing and Back-End Intelligent Analysis: A Unified Infrastructure for Economizing the Visual System of City Brain.
IEEE J. Sel. Areas Commun., 2019

Toward Knowledge as a Service Over Networks: A Deep Learning Model Communication Paradigm.
IEEE J. Sel. Areas Commun., 2019

AI-Oriented Large-Scale Video Management for Smart City: Technologies, Standards, and Beyond.
IEEE Multim., 2019

Compact Descriptors for Video Analysis: The Emerging MPEG Standard.
IEEE Multim., 2019

Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Group-Sensitive Triplet Embedding for Vehicle Reidentification.
IEEE Trans. Multim., 2018

Multi-Scale Context Attention Network for Image Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017
HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval.
IEEE Trans. Multim., 2017

Incorporating Intra-Class Variance to Fine-Grained Visual Recognition.
CoRR, 2017

From Part to Whole: Who is Behind the Painting?
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Improving object detection with region similarity learning.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Incorporating intra-class variance to fine-grained visual recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Deep regional feature pooling for video matching.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Compact Deep Invariant Descriptors for Video Retrieval.
Proceedings of the 2017 Data Compression Conference, 2017


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