no code implementations • 10 Apr 2024 • Ke Zou, Yang Bai, Zhihao Chen, Yang Zhou, Yidi Chen, Kai Ren, Meng Wang, Xuedong Yuan, Xiaojing Shen, Huazhu Fu
Medical Report Grounding is pivotal in identifying the most relevant regions in medical images based on a given phrase query, a critical aspect in medical image analysis and radiological diagnosis.
no code implementations • 8 Jan 2024 • Kai Ren, Colin Chen, Hyeontae Sung, Heejin Ahn, Ian Mitchell, Maryam Kamgarpour
We present a chance-constrained model predictive control (MPC) framework under Gaussian mixture model (GMM) uncertainty.
no code implementations • 10 Oct 2023 • Ying Wu, Hanzhong Liu, Kai Ren, Xiangyu Chang
In the rule discovery phase, we utilize a causal forest to generate a pool of causal rules with corresponding subgroup average treatment effects.
no code implementations • 20 Jul 2023 • Zongmin Liu, Jirui Wang, Jie Li, Zufeng Li, Kai Ren, Peng Shi
Furthermore, a detection-grasping integrated algorithm based on box coordinate matching (DG-BCM) is proposed to obtain the fusion model of object detection and grasp estimation.
no code implementations • 11 Jul 2023 • Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu
Recently, Segmenting Anything has taken an important step towards general artificial intelligence.
no code implementations • 20 May 2023 • Kai Ren
This paper proposes an Intelligent Forecasting Framework for Default Risk that provides precise day-by-day default risk prediction.
1 code implementation • 1 Apr 2023 • Kai Ren
This paper presents an empirical analysis of the capital asset pricing model using trading data for the Chinese A-share market from 2000 to 2019.
1 code implementation • 17 Mar 2023 • Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu
Our UML has the potential to explore the development of more reliable and explainable medical image analysis models.
no code implementations • 7 Jan 2023 • Zongmin Liu, Jirui Wang, Jie Li, Pengda Liu, Kai Ren
However, indoor scenes are usually complex and there are many types of interference factors, leading to great challenges in the multiple targets detection.
no code implementations • 19 Oct 2022 • Kai Ren, Chuanping Hu
The problem of multi-object tracking is a fundamental computer vision research focus, widely used in public safety, transport, autonomous vehicles, robotics, and other regions involving artificial intelligence.
no code implementations • 29 Nov 2021 • Minh Tu Hoang, Brosnan Yuen, Kai Ren, Ahmed Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy Tarimala
This paper proposes passive WiFi indoor localization.
no code implementations • 20 Aug 2021 • Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
In this setting with multiple and constrained goals, this paper discovers that a probabilistic strategic parameter regime can achieve better value compared to the standard regime of finding a single deterministic parameter.
no code implementations • 22 Mar 2021 • Wei zhang, Yunfeng Zhang, Ning Liu, Kai Ren, Pengfei Wang
This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL).
no code implementations • 13 May 2020 • Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.