no code implementations • 16 May 2024 • Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li, Xiaolin Hu
In this work, we propose a physical attack method against infrared detectors based on 3D modeling, which is applied to a real car.
1 code implementation • 9 Mar 2024 • Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, Xiaolin Hu
LiDAR-based 3D object detection plays an essential role in autonomous driving.
1 code implementation • 13 Dec 2023 • Ziqi Yuan, Liyuan Wang, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu
A commonly-used strategy for supervised IOD is to encourage the current model (as a student) to mimic the behavior of the old model (as a teacher), but it generally fails in SSIOD because a dominant number of object instances from old and new classes are coexisting and unlabelled, with the teacher only recognizing a fraction of them.
1 code implementation • 6 Nov 2023 • Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
With the success of Neural Radiance Field (NeRF) in 3D-aware portrait editing, a variety of works have achieved promising results regarding both quality and 3D consistency.
1 code implementation • NeurIPS 2023 • Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu
To reduce computational costs, these methods resort to submanifold sparse convolutions, which prevent the information exchange among spatially disconnected features.
no code implementations • 9 Sep 2023 • Daichi Zhang, Zihao Xiao, Jianmin Li, Shiming Ge
In this paper, a Self-supervised Transformer cooperating with Contrastive and Reconstruction learning (CoReST) is proposed, which is first pre-trained only on real face videos in a self-supervised manner, and then fine-tuned a linear head on specific face forgery video datasets.
1 code implementation • CVPR 2023 • Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu
As for imprecise image editing, we attribute the problem to the gap between the latent space of real images and that of generated images.
2 code implementations • 13 Feb 2023 • Gang Zhang, Ziyi Li, Chufeng Tang, Jianmin Li, Xiaolin Hu
A hallmark of CEDNet is its ability to incorporate high-level features from early stages to guide low-level feature learning in subsequent stages, thereby enhancing the effectiveness of multi-scale feature fusion.
no code implementations • 12 May 2022 • Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
We simulated the process from cloth to clothing in the digital world and then designed the adversarial "QR code" pattern.
no code implementations • CVPR 2022 • Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
We simulated the process from cloth to clothing in the digital world and then designed the adversarial "QR code" pattern.
no code implementations • CVPR 2022 • Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu
In this paper, we propose a novel method, AutoLoss-GMS, to search the better loss function in the space of generalized margin-based softmax loss function for person re-identification automatically.
1 code implementation • 19 May 2021 • Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu
In authentication scenarios, applications of practical speaker verification systems usually require a person to read a dynamic authentication text.
Real-World Adversarial Attack Room Impulse Response (RIR) +3
1 code implementation • CVPR 2021 • Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
In this work, we propose a new method called RefineMask for high-quality instance segmentation of objects and scenes, which incorporates fine-grained features during the instance-wise segmenting process in a multi-stage manner.
2 code implementations • CVPR 2021 • Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu
Tremendous efforts have been made on instance segmentation but the mask quality is still not satisfactory.
1 code implementation • 23 Feb 2021 • Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu
A detection model based on the classification model EfficientNet-B7 achieved a top-1 accuracy of 53. 95%, surpassing previous state-of-the-art classification models trained on ImageNet, suggesting that accurate localization information can significantly boost the performance of classification models on ImageNet-A.
1 code implementation • 12 Feb 2021 • Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu
We cleaned the MSR-VTT annotations by removing these problems, then tested several typical video captioning models on the cleaned dataset.
no code implementations • 20 Jan 2021 • Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu
By using a combination method, we successfully hide from the visible light and infrared object detection systems at the same time.
no code implementations • 13 Nov 2020 • Jiajun Zhang, Pengyuan Ren, Jianmin Li
Pedestrian Attribute Recognition (PAR) has aroused extensive attention due to its important role in video surveillance scenarios.
no code implementations • 27 Oct 2020 • Jingjun Wen, Daowei Dou, Jinfu Zhu, Zhi Zeng, Tao Xue, Jianmin Li, Junli Li, Yinong Liu
This paper describes a FADC Readout system developed for the tap water $\alpha/\beta$ dose monitoring system which is based on EJ444 phoswich scintillation detector and wavelength shifting fiber readout.
Instrumentation and Detectors
1 code implementation • 16 Jan 2020 • Haoran Chen, Jianmin Li, Xiaolin Hu
Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence.
no code implementations • 2 Feb 2019 • Shifeng Zhang, Jianmin Li, Bo Zhang
Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrieval speed.
no code implementations • 20 Nov 2018 • Pengyuan Ren, Jianmin Li
Person re-identification (ReID) is aimed at identifying the same person across videos captured from different cameras.
1 code implementation • 15 May 2018 • Shifeng Zhang, Jianmin Li, Bo Zhang
The resultant hashcodes form several compact clusters, which means hashcodes in the same cluster have similar semantic information.
no code implementations • 28 Sep 2016 • Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang
Hashing method maps similar data to binary hashcodes with smaller hamming distance, and it has received a broad attention due to its low storage cost and fast retrieval speed.
no code implementations • 4 Sep 2015 • Jinma Guo, Jianmin Li
Along with data on the web increasing dramatically, hashing is becoming more and more popular as a method of approximate nearest neighbor search.
no code implementations • NeurIPS 2012 • Jianqiu Ji, Jianmin Li, Shuicheng Yan, Bo Zhang, Qi Tian
Sign-random-projection locality-sensitive hashing (SRP-LSH) is a probabilistic dimension reduction method which provides an unbiased estimate of angular similarity, yet suffers from the large variance of its estimation.