Chenhongyi Yang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Variational Formulation

Visual Recognition Tasks

High Resolution

Top Venues

Publications

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin
EgoPoseFormer: A Simple Baseline for Egocentric 3D Human Pose Estimation. CoRR (2024)
Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. CoRR (2024)
Zehui Chen, Chenhongyi Yang, Jiahao Chang, Feng Zhao, Zheng-Jun Zha, Feng Wu
DDOD: Dive Deeper into the Disentanglement of Object Detector. IEEE Trans. Multim. 26 (2024)
Chenhongyi Yang, Tianwei Lin, Lichao Huang, Elliot J. Crowley
WidthFormer: Toward Efficient Transformer-based BEV View Transformation. CoRR (2024)
Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
einspace: Searching for Neural Architectures from Fundamental Operations. CoRR (2024)
Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families. ICCV (2023)
Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. ICLR (2023)
Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. CoRR (2022)
Chenhongyi Yang, Zehao Huang, Naiyan Wang
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection. CVPR (2022)
Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley
Prediction-Guided Distillation for Dense Object Detection. CoRR (2022)
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
Plug and Play Active Learning for Object Detection. CoRR (2022)
Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley
Prediction-Guided Distillation for Dense Object Detection. ECCV (9) (2022)
Jiahao Chang, Shuo Wang, Guangkai Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families. CoRR (2022)
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning. CoRR (2021)
Kaihong Wang, Chenhongyi Yang, Margrit Betke
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation. AAAI (2021)
Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zheng-Jun Zha, Feng Wu
Disentangle Your Dense Object Detector. ACM Multimedia (2021)
Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zheng-Jun Zha, Feng Wu
Disentangle Your Dense Object Detector. CoRR (2021)
Chenhongyi Yang, Zehao Huang, Naiyan Wang
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection. CoRR (2021)
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. ECCV (18) (2020)
Kaihong Wang, Chenhongyi Yang, Margrit Betke
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation. CoRR (2020)
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. CoRR (2019)