Chenhongyi Yang

According to our database, Chenhongyi Yang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

DDOD: Dive Deeper into the Disentanglement of Object Detector.

Zehui Chen, Chenhongyi Yang, Jiahao Chang, Feng Zhao, Zheng-Jun Zha, Feng Wu

IEEE Trans. Multim., 2024

einspace: Searching for Neural Architectures from Fundamental Operations.

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

CoRR, 2024

EgoPoseFormer: A Simple Baseline for Egocentric 3D Human Pose Estimation.

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin

CoRR, 2024

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley

CoRR, 2024

WidthFormer: Toward Efficient Transformer-based BEV View Transformation.

Chenhongyi Yang, Tianwei Lin, Lichao Huang, Elliot J. Crowley

CoRR, 2024

Plug and Play Active Learning for Object Detection.

Chenhongyi Yang, Lichao Huang, Elliot J. Crowley

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation.

Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.

Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.

Jiahao Chang, Shuo Wang, Guangkai Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao

CoRR, 2022

Prediction-Guided Distillation for Dense Object Detection.

Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley

Proceedings of the Computer Vision - ECCV 2022, 2022

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection.

Chenhongyi Yang, Zehao Huang, Naiyan Wang

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

2021

Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning.

Chenhongyi Yang, Lichao Huang, Elliot J. Crowley

CoRR, 2021

Disentangle Your Dense Object Detector.

Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zheng-Jun Zha, Feng Wu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation.

Kaihong Wang, Chenhongyi Yang, Margrit Betke

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes.

Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke

Proceedings of the Computer Vision - ECCV 2020, 2020