no code implementations • WMT (EMNLP) 2020 • Tingxun Shi, Shiyu Zhao, Xiaopu Li, Xiaoxue Wang, Qian Zhang, Di Ai, Dawei Dang, Xue Zhengshan, Jie Hao
In this paper we demonstrate our (OPPO’s) machine translation systems for the WMT20 Shared Task on News Translation for all the 22 language pairs.
no code implementations • WMT (EMNLP) 2021 • Shiyu Zhao, Xiaopu Li, Minghui Wu, Jie Hao
This paper describes Mininglamp neural machine translation systems of the WMT2021 news translation tasks.
1 code implementation • 19 Apr 2024 • Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
Answering real-world complex queries, such as complex product search, often requires accurate retrieval from semi-structured knowledge bases that involve blend of unstructured (e. g., textual descriptions of products) and structured (e. g., entity relations of products) information.
no code implementations • 26 Mar 2024 • Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
This necessitates an expensive process of continuously curating and annotating data with significant human effort.
1 code implementation • 25 Mar 2024 • Yin Zhang, Jinhong Deng, Peidong Liu, Wen Li, Shiyu Zhao
A new benchmark for cross-domain MAV detection is proposed based on the proposed dataset.
1 code implementation • 29 Dec 2023 • Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
The recent progress in language-based open-vocabulary object detection can be largely attributed to finding better ways of leveraging large-scale data with free-form text annotations.
1 code implementation • 18 Dec 2023 • Hanqing Guo, Ye Zheng, Yin Zhang, Zhi Gao, Shiyu Zhao
In this paper, we propose a global-local MAV detector that can fuse both motion and appearance features for MAV detection under challenging conditions.
1 code implementation • 31 Oct 2023 • Huaben Chen, Wenkang Ji, Lufeng Xu, Shiyu Zhao
To that end, this work studies a consensus-seeking task where the state of each agent is a numerical value and they negotiate with each other to reach a consensus value.
no code implementations • 24 Aug 2023 • Jianan Li, Liang Li, Shiyu Zhao
The comprehension of how local interactions arise in global collective behavior is of utmost importance in both biological and physical research.
2 code implementations • 11 Aug 2023 • Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
This work identifies two challenges of using self-training in OVD: noisy PLs from VLMs and frequent distribution changes of PLs.
no code implementations • ICCV 2023 • Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas
With more than 28K unique object descriptions on over 25K images, OmniLabel provides a challenging benchmark with diverse and complex object descriptions in a naturally open-vocabulary setting.
no code implementations • 9 Mar 2023 • Zhiyong Sun, Shiyu Zhao, Daniel Zelazo
These conditions involve the spectrum and null space of the associated bearing Laplacian matrix for a directed bearing formation.
1 code implementation • 16 Aug 2022 • Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
In this work, we present the Knowledge Graph Transformer (kgTransformer) with masked pre-training and fine-tuning strategies.
1 code implementation • 18 Jul 2022 • Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris Metaxas
We propose a novel method that leverages the rich semantics available in recent vision and language models to localize and classify objects in unlabeled images, effectively generating pseudo labels for object detection.
Ranked #15 on Open Vocabulary Object Detection on MSCOCO (using extra training data)
1 code implementation • CVPR 2022 • Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris Metaxas
In this paper, inspired by the traditional matching-optimization methods where matching is introduced to handle large displacements before energy-based optimizations, we introduce a simple but effective global matching step before the direct regression and develop a learning-based matching-optimization framework, namely GMFlowNet.
Ranked #4 on Optical Flow Estimation on KITTI 2015
1 code implementation • 10 Nov 2021 • Hui Yu, Shiyu Zhao, JianYu Shi
Results: In this paper, by supposing that the interactions between two given drugs are caused by their local chemical structures (sub-structures) and their DDI types are determined by the linkages between different substructure sets, we design a novel Substructure-ware Tensor Neural Network model for DDI prediction (STNN-DDI).
1 code implementation • CVPR 2021 • Li SiYao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu
In the animation industry, cartoon videos are usually produced at low frame rate since hand drawing of such frames is costly and time-consuming.
1 code implementation • 20 Sep 2016 • Shiyu Zhao
The time derivative of a rotation matrix equals the product of a skew-symmetric matrix and the rotation matrix itself.
Robotics