Yen-Cheng Liu

According to our database1, Yen-Cheng Liu authored at least 26 papers between 2009 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Unbiased Teacher for Semi-Supervised Object Detection.
CoRR, 2021

2020
Static2Dynamic: Video Inference From a Deep Glimpse.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Posterior Re-calibration for Imbalanced Datasets.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Who2com: Collaborative Perception via Learnable Handshake Communication.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

When2com: Multi-Agent Perception via Communication Graph Grouping.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Constructions of Two-Dimensional Binary Z-Complementary Array Pairs.
Proceedings of the IEEE International Symposium on Information Theory, 2019

A Closer Look at Few-shot Classification.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines.
CoRR, 2018

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Deep Aggregation Net for Land Cover Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain.
CoRR, 2017

Domain-Adaptive generative adversarial networks for sketch-to-photo inversion.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
Reduced-Rank Channel Estimation for Large-Scale MIMO Systems.
CoRR, 2016

Detection of Spatial Modulation Signals in Doubly Selective Fading Channels with CSI Uncertainty.
CoRR, 2016

2013
New Constructions of Zero-Correlation Zone Sequences.
IEEE Trans. Inf. Theory, 2013

Unsupervised scene segmentation using sparse coding context.
Mach. Vis. Appl., 2013

Composite Channel Estimation in Massive MIMO Systems.
CoRR, 2013

On composite channel estimation in wireless massive MIMO systems.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

Detection of spatial-modulated signals in the presence of CSI error and time-spatial correlation.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

2009
Systematic constructions of zero-correlation zone sequences.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Initial Synchronization for Multi-Cell OFDMA Systems.
Proceedings of IEEE International Conference on Communications, 2009

A Pipelined IP Forwarding Engine with Fast Update.
Proceedings of the IEEE 23rd International Conference on Advanced Information Networking and Applications, 2009


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