Yang Cao 曹洋
Greetings! I'm Yang Cao, a Ph.D. student in HKUST supervised by Prof. Dan Xu.
Before that, I received my Master's Degree from Nankai University, supervised by Prof. Ming-Ming Cheng.
My recent research interests mainly focus on the topics which are interesting and have large application potential in the real world, like 3D vision, open-vocabulary perception and multi-modal learning, etc.
Constructive discussions and cooperations are welcome. Feel free to contact me via email.
Email  / 
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Google Scholar  / 
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ORCID  / 
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3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection
Yang Cao*, Yuanliang Ju*, Dan Xu.
Arxiv, 2024 ( Top-5 in Hugging Face Daily Papers)
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CoDAv2: Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Yang Cao, Yihan Zeng, Hang Xu, Dan Xu.
Arxiv, 2024
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UNIT: Unifying Image and Text Recognition in One Vision Encoder
Yi Zhu, Yanpeng Zhou, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu
NeurIPS, 2024
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CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
Yang Cao, Yihan Zeng, Hang Xu, Dan Xu.
NeurIPS, 2023
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FakeMix Augmentation Improves Transparent Object Detection
Yang Cao, Zhengqiang Zhang, Enze Xie, Qibin Hou, Kai Zhao, Xiangui Luo, Jian Tuo.
Preprint, 2022
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Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
Jia-Xing Zhao*, Yang Cao*, Deng-Ping Fan*, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang.
CVPR, 2019
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Integral Object Mining via Online Attention Accumulation
Peng-Tao Jiang, Qi-Bin Hou, Yang Cao, Ming-Ming Cheng, Yun-Chao Wei, Hong-Kai Xiong
ICCV, 2019
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EGNet: Edge Guidance Network for Salient Object Detection
Jia-Xing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Ju-Feng Yang, Ming-Ming Cheng
ICCV, 2019
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E-measure: Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji
IJCAI, 2018
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- Huya Information Technology Co.,Ltd
2020.07-2022.2, Multimedia Technology Engineer-AI
1.Research: Transparent Object Detection task. 2. Project: Image Super-Resolution. Develop SR models for popular game lives. Provide a live streaming experience in 4K resolution. 3. Project: Model Compression. Compress the SR models for the online deployment to save half of cost. 4. Project: The first SDR2HDR model for LOL game live,
applied at the League of Legends 2021 World Championship. Over 4.5 million users utilized my algorithm during the game finals.
- Megvii Institute (also known as Face++) 2019.04-2019.07, Research intern
Research: Keypoint-based object detection.
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- National scholarship, National encouragement scholarship, Ministry of Education of the People's Republic of China
- Huawei PhD Fellowship, Huawei Noah's Ark Lab
- The best freshman award, The S-level award, Huya Information Technoloy
- Freshman Scholarship, Gongneng First-class scholarship, Nankai University
- The First prize in the 14-th Xidian Huawei Cup ACM/ICPC competition, Huawei Technology
- The First prize of the 6-th national college students mathematics preliminary competition, Chinese Mathematical Society
- Excellent student, Excellent graduate, Xidian University
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- Reviewer for TPAMI, TIP, TNNLS, CVPR(2020-2025), ICCV2023, ECCV2024, NeurIPS(2023-2024), ICLR(2023-2025), ICML2024, MM2024, ICRA(2023-2024), etc.
- Programme Committee for AAAI2025.
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- Advanced Artificial Intelligence, Teaching Assistant - Fall 2023
- Computer Vision, Teaching Assistant - Spring 2023
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