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Yaoming Wang
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2020 – today
- 2024
- [j1]Cong Wang, Yaoming Wang, Ying Yuan, Sancheng Peng, Guorui Li, Pengfei Yin:
Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning. Neural Networks 179: 106621 (2024) - [c16]Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang:
UMG-CLIP: A Unified Multi-granularity Vision Generalist for Open-World Understanding. ECCV (38) 2024: 259-277 - [c15]Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian:
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners. ICLR 2024 - [c14]Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian:
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation. ICLR 2024 - [c13]Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong:
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation. ICML 2024 - [i4]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Yaoming Wang, Lingxi Xie, Qi Tian, Wei Shen:
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation. CoRR abs/2405.18840 (2024) - [i3]Yangzhou Jiang, Yinxin Lin, Yaoming Wang, Teng Li, Bilian Ke, Bingbing Ni:
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck. CoRR abs/2407.00315 (2024) - 2023
- [c12]Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization. CVPR 2023: 3510-3519 - [c11]Wenjie Yang, Zhenyu Xie, Yaoming Wang, Yang Zhang, Xiao Ma, Bing Hao:
Integrating Appearance and Spatial-Temporal Information for Multi-Camera People Tracking. CVPR Workshops 2023: 5260-5269 - [c10]Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian:
Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition. CVPR 2023: 15965-15974 - [c9]Haoran Lv, Junyi Liu, Henan Wang, Yaoming Wang, Jixiang Luo, Yaxiao Liu:
Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis. EACL 2023: 1007-1018 - [c8]Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong:
Towards Unsupervised Domain Generalization for Face Anti-Spoofing. ICCV 2023: 20597-20607 - [c7]Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian:
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning. ICLR 2023 - [c6]Yaoming Wang, Yuchen Liu, Xiaopeng Zhang, Jin Li, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian:
VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients. ACM Multimedia 2023: 4595-4605 - [c5]Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian:
AiluRus: A Scalable ViT Framework for Dense Prediction. NeurIPS 2023 - [i2]Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian:
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners. CoRR abs/2306.15876 (2023) - [i1]Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian:
AiluRus: A Scalable ViT Framework for Dense Prediction. CoRR abs/2311.01197 (2023) - 2022
- [c4]Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li:
Contrastive Regression for Domain Adaptation on Gaze Estimation. CVPR 2022: 19354-19363 - [c3]Liewen Liao, Yaoming Wang, Hao Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Efficient Search for Efficient Architecture. ISCAS 2022: 3140-3144 - 2021
- [c2]Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization. ICCV 2021: 12292-12301 - 2020
- [c1]Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search. IJCAI 2020: 2088-2095
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last updated on 2024-10-28 21:17 CET by the dblp team
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