no code implementations • 1 Apr 2024 • Yulin Chen, Guoheng Huang, Kai Huang, Zijin Lin, Guo Zhong, Shenghong Luo, Jie Deng, Jian Zhou
This novel framework offers improved performance with fewer parameters and holds significant potential for accurate segmentation of lesion regions in various medical tasks, making it clinically valuable.
no code implementations • 11 Mar 2024 • Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin kang, Jun Zhou
In this paper, we fill in this gap by proposing a motif-preserving Graph Neural Network with curriculum learning (MotifGNN) to jointly learn the lower-order structures from the original graph and higherorder structures from multi-view motif-based graphs for financial default prediction.
1 code implementation • 23 Jan 2024 • Shuai Liu, Di Wang, Quan Wang, Kai Huang
NIV strategy can serve as a bridge between classification and regression branches by calculating two types of statistical data from the regression output to correct the classification confidence.
1 code implementation • 14 Jan 2024 • Shuai Liu, Boyang Li, Zhiyu Fang, Kai Huang
We find that the center-based label assignment often fails to generate sufficient positive samples for training, while the anchor-based label assignment tends to encounter an imbalanced issue when handling objects of varying scales.
1 code implementation • 21 Dec 2023 • Kai Huang, Boyuan Yang, Wei Gao
To speed up on-device training, existing schemes select trainable NN portion offline or conduct unrecoverable selection at runtime, but the evolution of trainable NN portion is constrained and cannot adapt to the current need for training.
no code implementations • 21 Dec 2023 • Kai Huang, Wei Gao
With the wide adoption of AI applications, there is a pressing need of enabling real-time neural network (NN) inference on small embedded devices, but deploying NNs and achieving high performance of NN inference on these small devices is challenging due to their extremely weak capabilities.
1 code implementation • 13 Dec 2023 • Kai Huang, Boyuan Yang, Wei Gao
Large Language Models (LLMs) are capable of reasoning over diverse input data modalities through pre-trained encoders.
no code implementations • 20 Nov 2023 • Zixuan Xie, Rengan Xie, Rong Li, Kai Huang, Pengju Qiao, Jingsen Zhu, Xu Yin, Qi Ye, Wei Hua, Yuchi Huo, Hujun Bao
In this work, we use multi-view aerial images to reconstruct the geometry, lighting, and material of facades using neural signed distance fields (SDFs).
no code implementations • 15 Nov 2023 • Junjie Yang, Zhihao Zhao, Siyuan Shen, Daniel Zapp, Mathias Maier, Kai Huang, Nassir Navab, M. Ali Nasseri
Robotic ophthalmic surgery is an emerging technology to facilitate high-precision interventions such as retina penetration in subretinal injection and removal of floating tissues in retinal detachment depending on the input imaging modalities such as microscopy and intraoperative OCT (iOCT).
1 code implementation • 22 Sep 2023 • Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but intensively performed LLM fine-tuning worldwide could result in significantly high energy consumption and carbon footprint, which may bring large environmental impact.
no code implementations • ICCV 2023 • Kai Huang, Feigege Wang, Ye Xi, Yutao Gao
Then, we explore to merge the prototypical learning to the update of base-class kernels, which is consistent with the prototype knowledge aggregation of few-shot novel classes.
no code implementations • 30 May 2023 • Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll
In this evaluation, we set up ten tasks and achieved an average 30% improvement in our approach compared to the current state-of-the-art approach, demonstrating a high generalization capability in both simulated environments and the real world.
1 code implementation • 23 May 2023 • Zhenshan Bing, Yuan Meng, Yuqi Yun, Hang Su, Xiaojie Su, Kai Huang, Alois Knoll
Generative model-based deep clustering frameworks excel in classifying complex data, but are limited in handling dynamic and complex features because they require prior knowledge of the number of clusters.
no code implementations • 29 Apr 2023 • Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Hang Su, Chenguang Yang, Kai Huang, Alois Knoll
On MuJoCo and Meta-World benchmarks, MoSS outperforms prior works in terms of asymptotic performance, sample efficiency (3-50x faster), adaptation efficiency, and generalization robustness on broad and diverse task distributions.
no code implementations • 24 Apr 2023 • Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Li Ding, Liang Chen, Kai Huang
In this paper, we propose a fast and structure-aware halftoning method via a data-driven approach.
1 code implementation • Conference 2023 • Yuning Cui, Yi Tao, Zhenshan Bing, Wenqi Ren, Xinwei Gao, Xiaochun Cao, Kai Huang, Alois Knoll
Image restoration aims to reconstruct the latent sharp image from its corrupted counterpart.
Ranked #1 on Deblurring on RSBlur
no code implementations • 12 Apr 2023 • Xiaohan Li, Gaowei Zhang, Kai Huang, Zhaofeng He
Sea surface temperature (SST) is uniquely important to the Earth's atmosphere since its dynamics are a major force in shaping local and global climate and profoundly affect our ecosystems.
1 code implementation • 6 Dec 2022 • Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku
The present study tested whether the AI driver could create a human-like ride experience for passengers based on 69 participants' feedback in a real-road scenario.
no code implementations • 2 Nov 2022 • Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen
Few-shot segmentation (FSS) aims to segment objects of unseen classes given only a few annotated support images.
no code implementations • 21 Sep 2022 • Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, KeJia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll
We propose a dual-MDP meta-reinforcement learning method that enables learning new tasks efficiently with symmetrical behaviors and language instructions.
no code implementations • 27 Jul 2022 • Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
E-commerce has gone a long way in empowering merchants through the internet.
no code implementations • 23 Jul 2022 • Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Aiguo Yin, Li Ding, Kai Huang
Deep neural networks have recently succeeded in digital halftoning using vanilla convolutional layers with high parallelism.
no code implementations • 26 Apr 2022 • Kai Huang, Prajnan Das, Adenike M. Olanrewaju, Carlos Cardenas, David Fuentes, Lifei Zhang, Donald Hancock, Hannah Simonds, Dong Joo Rhee, Sam Beddar, Tina Marie Briere, Laurence Court
A planning algorithm was then developed to create a homogeneous dose using a combination of wedges and subfields.
no code implementations • 21 Apr 2022 • Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou
In this paper, we propose a novel indexing approach called LIMS that uses data clustering, pivot-based data transformation techniques and learned indexes to support efficient similarity query processing in metric spaces.
1 code implementation • CVPR 2022 • Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song
To address this challenge, we have open sourced BigDL 2. 0 at https://github. com/intel-analytics/BigDL/ under Apache 2. 0 license (combining the original BigDL and Analytics Zoo projects); using BigDL 2. 0, users can simply build conventional Python notebooks on their laptops (with possible AutoML support), which can then be transparently accelerated on a single node (with up-to 9. 6x speedup in our experiments), and seamlessly scaled out to a large cluster (across several hundreds servers in real-world use cases).
no code implementations • 30 Nov 2021 • Shervin Dehghani, Michael Sommersperger, Junjie Yang, Benjamin Busam, Kai Huang, Peter Gehlbach, Iulian Iordachita, Nassir Navab, M. Ali Nasseri
For this purpose, we present a platform for autonomous trocar docking that combines computer vision and a robotic setup.
no code implementations • 20 Oct 2021 • Shibin Zhang, Hongyan Zhou, Pengcheng Zheng, Jinbo Wu, Liping Zhang, Zhongxu Li, Kai Huang, Xin Ou, Xi Wang
Monolithic integration of multiband (1. 4~ 6. 0 GHz) RF acoustic devices were successfully demonstrated within the same process flow by using the lithium niobate (LN) thin film on silicon carbide (LNOSiC) substrate.
no code implementations • 22 Sep 2021 • Zhenshan Bing, Amir EI Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois Knoll
As a vital cognitive function of animals, the navigation skill is first built on the accurate perception of the directional heading in the environment.
1 code implementation • 8 Aug 2021 • Zhenshan Bing, Lukas Knak, Fabrice Oliver Robin, Kai Huang, Alois Knoll
Recent state-of-the-art artificial agents lack the ability to adapt rapidly to new tasks, as they are trained exclusively for specific objectives and require massive amounts of interaction to learn new skills.
no code implementations • 13 Apr 2021 • Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu
The adaptive adjusting term is composed of two complementary factors: 1) quantity factor, which pays more attention to tail classes, and 2) difficulty factor, which adaptively pays more attention to hard instances in the training process.
no code implementations • ICCV 2021 • Kai Huang, Jie Geng, Wen Jiang, Xinyang Deng, Zhe Xu
Most semi-supervised few-shot learning methods select pseudo-labeled data of unlabeled set by task-specific confidence estimation.
no code implementations • 13 Oct 2020 • Luyang Wang, Kai Huang, Jiao Wang, Shengsheng Huang, Jason Dai, Yue Zhuang
Drive-thru is a popular sales channel in the fast food industry where consumers can make food purchases without leaving their cars.
no code implementations • 14 Sep 2020 • Xusen Guo, Jiangfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang
Recent approaches for 3D object detection have made tremendous progresses due to the development of deep learning.
1 code implementation • 27 Jul 2020 • Zhenshan Bing, Matthias Brucker, Fabrice O. Morin, Kai Huang, Alois Knoll
In this paper, we propose graph-based hindsight goal generation (G-HGG), an extension of HGG selecting hindsight goals based on shortest distances in an obstacle-avoiding graph, which is a discrete representation of the environment.
no code implementations • 2 May 2020 • Zebang Zhang, Kui Zhao, Kai Huang, Quanhui Jia, Yanming Fang, Quan Yu
If the uncertainty of an enterprise's revenue forecasting can be estimated, a more proper credit limit can be granted.
no code implementations • 10 Mar 2020 • Zhenshan Bing, Claus Meschede, Guang Chen, Alois Knoll, Kai Huang
Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising potential for accomplishing fast and energy-efficient computing, which is beneficial to mobile robotic applications.
no code implementations • 5 Dec 2019 • Gang Chen, Shengyu He, Haitao Meng, Kai Huang
Over the last years, a great success of deep neural networks (DNNs) has been witnessed in computer vision and other fields.
no code implementations • 17 Aug 2018 • Mingchuan Zhou, Mahdi Hamad, Jakob Weiss, Abouzar Eslami, Kai Huang, Mathias Maier, Chris P. Lohmann, Nassir Navab, Alois Knoll, M. Ali Nasseri
Ophthalmic microsurgery is known to be a challenging operation, which requires very precise and dexterous manipulation.
no code implementations • COLING 2018 • Guolong Wang, Zheng Qin, Kaiping Xu, Kai Huang, Shuxiong Ye
We present a video captioning approach that encodes features by progressively completing syntactic structure (LSTM-CSS).
1 code implementation • 16 Apr 2018 • Jason Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song
This paper presents BigDL (a distributed deep learning framework for Apache Spark), which has been used by a variety of users in the industry for building deep learning applications on production big data platforms.
no code implementations • 30 Mar 2017 • Lei Fan, Ziyu Pan, Long Chen, Kai Huang
Reconstruction based on the stereo camera has received considerable attention recently, but two particular challenges still remain.
no code implementations • Circuits, Systems, and Signal Processing volume 35, pages1795–1805 2015 • Jin Sha, Kai Huang, Wei Shi, Zhongfeng Wangzfwang
Multiple signal classification (MUSIC) algorithm is widely used in measuring the direction of arrival.