no code implementations • 10 Jan 2025 • You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun
The recent advancement of Multimodal Large Language Models (MLLMs) has significantly improved their fine-grained perception of single images and general comprehension across multiple images.
no code implementations • 24 Nov 2024 • You Li, Fan Ma, Yi Yang
In this paper, we introduce Imagined Proxy for CIR (IP-CIR), a training-free method that creates a proxy image aligned with the query image and text description, enhancing query representation in the retrieval process.
Ranked #1 on
Zero-Shot Composed Image Retrieval (ZS-CIR)
on CIRR
no code implementations • 24 Nov 2024 • You Li, Fan Ma, Yi Yang
A Uni-Controlled Image Generation Module is then developed to create high-quality synthetic images that are controllable and based on the generated layouts.
1 code implementation • 6 Oct 2024 • Xinyu Feng, Yuming Lin, Lihua He, You Li, Liang Chang, Ya Zhou
Multimodal Sentiment Analysis (MSA) utilizes multimodal data to infer the users' sentiment.
no code implementations • 25 Sep 2024 • Mengwen Ye, Yingzi Huangfu, You Li, Zekuan Yu
Fundus image classification is crucial in the computer aided diagnosis tasks, but label noise significantly impairs the performance of deep neural networks.
no code implementations • 11 Jul 2024 • Delong Wu, Hao Zhu, Qi Zhang, You Li, Zhan Ma, Xun Cao
To tackle this issue, we introduce the Neural Poisson Solver, a plug-and-play and universally applicable framework across different signal dimensions for blending visual signals represented by INRs.
1 code implementation • 2 Jul 2024 • Dewei Zhou, You Li, Fan Ma, Zongxin Yang, Yi Yang
Lastly, we introduced the Consistent-MIG algorithm to enhance the iterative MIG ability of MIGC and MIGC++.
no code implementations • 31 May 2024 • You Li, Guannan Zhao, Shuyu Kong, Yunqi He, Hai Zhou
This paper presents a systematic and efficient method to evaluate and verify global robustness for deep neural networks, leveraging the PAC verification framework for solid guarantees on verification results.
1 code implementation • 17 May 2024 • Kaiyu Huang, Fengran Mo, Xinyu Zhang, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, Jian-Yun Nie, Yang Liu
The survey aims to help the research community address multilingual problems and provide a comprehensive understanding of the core concepts, key techniques, and latest developments in multilingual natural language processing based on LLMs.
no code implementations • 14 Mar 2024 • Ning Cheng, You Li, Jing Gao, Bin Fang, Jinan Xu, Wenjuan Han
Tactility provides crucial support and enhancement for the perception and interaction capabilities of both humans and robots.
no code implementations • 28 Feb 2024 • Xi Wang, Xiaotong Zhao, Juncheng Wang, You Li, Qingjiang Shi
We then propose a joint beamforming and linear stream allocation algorithm, termed as RWMMSE-LSA, which yields closed-form updates with linear stream allocation complexity and is guaranteed to converge to the stationary points of the original joint optimization problem.
1 code implementation • CVPR 2024 • Dewei Zhou, You Li, Fan Ma, Xiaoting Zhang, Yi Yang
Lastly, we aggregate all the shaded instances to provide the necessary information for accurately generating multiple instances in stable diffusion (SD).
Ranked #1 on
Conditional Text-to-Image Synthesis
on COCO-MIG
no code implementations • 27 Jan 2024 • Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu
In this paper, we present a comprehensive empirical study on the accuracy and robustness of LLMs in the context of the Chinese industrial production area.
1 code implementation • 19 Oct 2023 • You Li, Jinhui Yin, Yuming Lin
We have specifically designed a family of metrics along this line of investigation, and the model used to compute these metrics is referred to as the tree topological probe.
no code implementations • 2 Jul 2023 • Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
A timely detection of seizures for newborn infants with electroencephalogram (EEG) has been a common yet life-saving practice in the Neonatal Intensive Care Unit (NICU).
no code implementations • 9 Jun 2023 • Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li
The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world.
1 code implementation • 15 Apr 2023 • Bei Lin, You Li, Ning Gui, Zhuopeng Xu, Zhiwu Yu
However, partially due to the irregular non-Euclidean data in graphs, the pretext tasks are generally designed under homophily assumptions and cornered in the low-frequency signals, which results in significant loss of other signals, especially high-frequency signals widespread in graphs with heterophily.
1 code implementation • ICCV 2023 • Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang
For example, when we learn mathematics at school, we build upon our knowledge of addition to learn multiplication.
no code implementations • RA-L 2022 • Fuqiang Gu, Yong Lee, Yuan Zhuang, You Li, Jingbin Liu, Fangwen Yu, Ruiyuan Li, Chao Chen
Event-based sensors (e. g., DVS cameras) are capable of higher dynamic range, higher temporal resolution, lower time latency, and better power efficiency compared to conventional devices (e. g., RGB cameras).
1 code implementation • 15 Jun 2022 • Spandan Madan, You Li, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman
We present a new perspective on bridging the generalization gap between biological and computer vision -- mimicking the human visual diet.
no code implementations • 22 May 2022 • Shuyu Kong, You Li, Hai Zhou
We theoretically prove that clients will use as much data as they can possibly possess to participate in federated learning under certain conditions with our incentive mechanism
no code implementations • 19 May 2022 • You Li, Julien Moreau, Javier Ibanez-Guzman
Cameras are essential for perception systems due to the advantages of object detection and recognition provided by modern computer vision algorithms, comparing to other sensors, such as LiDARs and radars.
1 code implementation • 3 Mar 2022 • You Li, Bei Lin, Binli Luo, Ning Gui
Unsupervised graph representation learning aims to distill various graph information into a downstream task-agnostic dense vector embedding.
no code implementations • 4 Nov 2021 • Yiran Luo, You Li, Jin Wang, Naser El-Sheimy
A Doppler value is predicted based on an integrated extended Kalman filter (EKF) navigator where the pseudorange-state-based measurements of GNSS and INS are fused.
no code implementations • 6 Oct 2021 • Weiran Li, Zhenbo Li, Fei Li, Meng Yuan, Chaojun Cen, Yanyu Qi, Qiannan Guo, You Li
Fish tracking is a key technology for obtaining movement trajectories and identifying abnormal behavior.
no code implementations • 7 Sep 2021 • Hailiang Tang, Xiaoji Niu, Tisheng Zhang, You Li, Jingnan Liu
The results indicate that the IMU individuality, the vehicle loads, and the road conditions have little impact on the robustness and precision of the OdoNet, while the IMU biases and the mounting angles may notably ruin the OdoNet.
no code implementations • 5 Feb 2021 • Edouard Capellier, Franck Davoine, Veronique Cherfaoui, You Li
So as to reach satisfactory results, the system fuses road detection results obtained from three variants of RoadSeg, processing different LIDAR features.
no code implementations • 11 Dec 2020 • You Li, Binli Luo, Ning Gui
Low-dimension graph embeddings have proved extremely useful in various downstream tasks in large graphs, e. g., link-related content recommendation and node classification tasks, etc.
no code implementations • 8 Dec 2020 • Shuyu Kong, You Li, Jia Wang, Amin Rezaei, Hai Zhou
Inspired by the robustness of K-Nearest Neighbors (KNN) against data noise, in this work, we propose to apply deep KNN for label cleanup.
no code implementations • 10 Aug 2020 • Abdelhak Loukkal, Yves GRANDVALET, Tom Drummond, You Li
Camera-based end-to-end driving neural networks bring the promise of a low-cost system that maps camera images to driving control commands.
no code implementations • 13 Jul 2020 • You Li, Ruizhi Chen, Xiaoji Niu, Yuan Zhuang, Zhouzheng Gao, Xin Hu, Naser El-Sheimy
Recently, the emergence of chip-level inertial sensors has expanded the relevant applications from positioning, navigation, and mobile mapping to location-based services, unmanned systems, and transportation big data.
no code implementations • 6 Jun 2020 • Xin Hu, Zhijun Liu, You Li, Lexi Xu, Sun Zhang, Qinlong Li, Jia Hu, WenHua Chen, Weidong Wang, Mohamed Helaoui, Fadhel M. Ghannouchi
In this work, a low complexity, general architecture based on the deep real-valued convolutional neural network (DRVCNN) is proposed to build the nonlinear behavior of the power amplifier.
no code implementations • 9 Apr 2020 • You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy
However, it is challenging to use low-cost IoT devices for robust unsupervised localization (i. e., localization without training data that have known location labels).
no code implementations • 7 Apr 2020 • You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei, Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen, John Thompson, Fadhel Ghannouchi, Naser El-Sheimy
Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges.
Networking and Internet Architecture Signal Processing
no code implementations • 14 Mar 2020 • You Li, Pierre Duthon, Michèle Colomb, Javier Ibanez-Guzman
This article focuses on analyzing the performance of a typical time-of-flight (ToF) LiDAR under fog environment.
no code implementations • 19 May 2013 • You Li
Random mismatch errors in the resistor networks are one of the dominant nonlinearity sources for high resolution and high accuracy resistor DACs.