no code implementations • 2 May 2024 • Zijia Wang, Wenbin Yang, ZhiSong Liu, Zhen Jia
Training deep neural networks (DNNs) from noisy labels is an important and challenging task.
no code implementations • 2 May 2024 • Zijia Wang, Wenbin Yang, ZhiSong Liu, Zhen Jia
Specifically, we propose to use Expectation-Maximization (EM) to smooth the labels and comprehensively estimate the uncertainty information.
no code implementations • 30 Apr 2024 • Chenyu Jiang, Ye Tian, Zhen Jia, Shuai Zheng, Chuan Wu, Yida Wang
The Mixture-of-Expert (MoE) technique plays a crucial role in expanding the size of DNN model parameters.
no code implementations • 23 Feb 2024 • Zhen Jia, Philipp Christmann, Gerhard Weikum
The method has three stages: (i) understanding the question and its temporal conditions, (ii) retrieving evidence from all sources, and (iii) faithfully answering the question.
2 code implementations • 17 Nov 2023 • Chenyu Jiang, Zhen Jia, Shuai Zheng, Yida Wang, Chuan Wu
This paper proposes a dynamic micro-batching approach to tackle sequence length variation and enable efficient multi-task model training.
1 code implementation • 18 Sep 2023 • Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, Liang Wang
In order to solve this dilemma, we propose a multi-semantic fusion (MSF) model for improving the performance of GZSSAR, where two kinds of class-level textual descriptions (i. e., action descriptions and motion descriptions), are collected as auxiliary semantic information to enhance the learning efficacy of generalizable skeleton features.
Action Recognition Generalized Zero Shot skeletal action recognition +1
no code implementations • 18 Jul 2023 • Zhi-Song Liu, Zijia Wang, Zhen Jia
Continuous image super-resolution (SR) recently receives a lot of attention from researchers, for its practical and flexible image scaling for various displays.
no code implementations • 18 Jul 2023 • Zhi-Song Liu, Zijia Wang, Zhen Jia
Point cloud upsampling is an approach to increase the density of the point cloud so that detailed geometric information can be restored.
1 code implementation • 8 Mar 2023 • Cody Hao Yu, Haozheng Fan, Guangtai Huang, Zhen Jia, Yizhi Liu, Jie Wang, Zach Zheng, Yuan Zhou, Haichen Shen, Junru Shao, Mu Li, Yida Wang
In this paper, we present RAF, a deep learning compiler for training.
no code implementations • 17 Dec 2022 • Zhen Jia, Zhang Zhang, Liang Wang, Tieniu Tan
Image and video synthesis has become a blooming topic in computer vision and machine learning communities along with the developments of deep generative models, due to its great academic and application value.
no code implementations • 11 Jun 2022 • Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia
Time-series forecasting plays an important role in many real-world scenarios, such as equipment life cycle forecasting, weather forecasting, and traffic flow forecasting.
2 code implementations • 14 Jan 2022 • Dayang Wang, Feng-Lei Fan, Bo-Jian Hou, Hao Zhang, Zhen Jia, Boce Zhou, Rongjie Lai, Hengyong Yu, Fei Wang
A neural network with the widely-used ReLU activation has been shown to partition the sample space into many convex polytopes for prediction.
1 code implementation • 18 Sep 2021 • Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum
This work presents EXAQT, the first end-to-end system for answering complex temporal questions that have multiple entities and predicates, and associated temporal conditions.
no code implementations • 29 Mar 2021 • Yi-Fan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan
Generalizable person Re-Identification (ReID) has attracted growing attention in recent computer vision community.
no code implementations • 20 Jan 2021 • Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan
(ii) Most of the loss functions ignore the imbalance problem in BBR that the large number of anchor boxes which have small overlaps with the target boxes contribute most to the optimization of BBR.
no code implementations • 9 Aug 2019 • Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Stroetgen, Gerhard Weikum
An important case, addressed here, is that of temporal questions, where cues for temporal relations need to be discovered and handled.