Yen-Cheng Liu

According to our database, Yen-Cheng Liu authored at least 38 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Visual Learning for Scene Understanding.

Yen-Cheng Liu

PhD thesis, 2024

Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation.

Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Fast Trainable Projection for Robust Fine-tuning.

Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trainable Projected Gradient Method for Robust Fine-Tuning.

Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Detection of Spatial-Modulated Signals in the Presence of CSI Uncertainty and Spatially- and Time-Selective Fading.

Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su

IEEE Access, 2022

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks.

Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Open-Set Semi-Supervised Object Detection.

Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira

Proceedings of the Computer Vision - ECCV 2022, 2022

Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors.

Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Domain Adaptive Teacher for Object Detection.

Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Cross-Domain Object Detection via Adaptive Self-Training.

Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda

CoRR, 2021

Enhancing Multi-Robot Perception via Learned Data Association.

Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira

CoRR, 2021

Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking.

Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unbiased Teacher for Semi-Supervised Object Detection.

Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Static2Dynamic: Video Inference From a Deep Glimpse.

Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Posterior Re-calibration for Imbalanced Datasets.

Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira

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.

Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Who2com: Collaborative Perception via Learnable Handshake Communication.

Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

When2com: Multi-Agent Perception via Communication Graph Grouping.

Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Constructions of Two-Dimensional Binary Z-Complementary Array Pairs.

Cheng-Yu Pai, Yong-Ting Ni, Yen-Cheng Liu, Meng-Hsien Kuo, Chao-Yu Chen

Proceedings of the IEEE International Symposium on Information Theory, 2019

A Closer Look at Few-shot Classification.

Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation.

Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang

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.

Yen-Chang Hsu, Yen-Cheng Liu, Zsolt Kira

CoRR, 2018

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation.

Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang

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.

Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang

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.

Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Deep Aggregation Net for Land Cover Classification.

Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang

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.

Tzu-Chien Fu, Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang

CoRR, 2017

Domain-Adaptive generative adversarial networks for sketch-to-photo inversion.

Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Reduced-Rank Channel Estimation for Large-Scale MIMO Systems.

Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su

CoRR, 2016

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

Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su

CoRR, 2016

2013

New Constructions of Zero-Correlation Zone Sequences.

Yen-Cheng Liu, Ching-Wei Chen, Yu T. Su

IEEE Trans. Inf. Theory, 2013

Unsupervised scene segmentation using sparse coding context.

Yen-Cheng Liu, Hwann-Tzong Chen

Mach. Vis. Appl., 2013

Composite Channel Estimation in Massive MIMO Systems.

Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su

CoRR, 2013

On composite channel estimation in wireless massive MIMO systems.

Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su

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.

Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su

Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

2009

Systematic constructions of zero-correlation zone sequences.

Ching-Wei Chen, Yen-Cheng Liu, Yu Ted Su

Proceedings of the IEEE International Symposium on Information Theory, 2009

Initial Synchronization for Multi-Cell OFDMA Systems.

Yen-Cheng Liu, Kuhn-Chang Lin, Yu T. Su

Proceedings of IEEE International Conference on Communications, 2009

A Pipelined IP Forwarding Engine with Fast Update.

Yeim-Kuan Chang, Yen-Cheng Liu, Fang-Chen Kuo

Proceedings of the IEEE 23rd International Conference on Advanced Information Networking and Applications, 2009