no code implementations • 15 Apr 2024 • Genjia Liu, Yue Hu, Chenxin Xu, Weibo Mao, Junhao Ge, Zhengxiang Huang, Yifan Lu, Yinda Xu, Junkai Xia, Yafei Wang, Siheng Chen
This effort necessitates two key foundations: a platform capable of generating data to facilitate the training and testing of V2X-AD, and a comprehensive system that integrates full driving-related functionalities with mechanisms for information sharing.
1 code implementation • 8 Feb 2024 • Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang
Furthermore, to unleash the potential of extensive high-quality digital assets, ChatSim employs a novel multi-camera lighting estimation method to achieve scene-consistent assets' rendering.
1 code implementation • 25 Jan 2024 • Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
In this paper, we introduce a new open heterogeneous problem: how to accommodate continually emerging new heterogeneous agent types into collaborative perception, while ensuring high perception performance and low integration cost?
no code implementations • 25 Dec 2023 • Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Peng Li, Yan Wang, Bing Li, Weiming Hu
Each caption in the set is attached to a concept combination indicating the primary semantic content of the caption and facilitating element alignment in set prediction.
no code implementations • 16 Nov 2023 • Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie
The large language model era urges faster and less costly inference.
no code implementations • 7 Sep 2023 • Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang
In this paper, we propose a novel Model Inversion-based Removal Attack (\textsc{Mira}), which is watermark-agnostic and effective against most of mainstream black-box DNN watermarking schemes.
no code implementations • 17 May 2023 • Hao Lan Zhang, Yun Xue, Yifan Lu, Sanghyuk Lee
Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), digital twin, Metaverse and other related digital technologies have attracted much attention in recent years.
1 code implementation • CVPR 2023 • Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, Yanfeng Wang
Camera-only 3D detection provides an economical solution with a simple configuration for localizing objects in 3D space compared to LiDAR-based detection systems.
no code implementations • 17 Mar 2023 • Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang
In this paper, we propose a novel plug-and-play defensive module which works by side of a trained LiDAR-based object detector to eliminate forged obstacles where a major proportion of local parts have low objectness, i. e., to what degree it belongs to a real object.
1 code implementation • CVPR 2023 • Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang
This enables the application of Gaussian processes to a wide range of real data, which are often large-scale and contaminated by outliers.
1 code implementation • 14 Nov 2022 • Yifan Lu, Quanhao Li, Baoan Liu, Mehrdad Dianati, Chen Feng, Siheng Chen, Yanfeng Wang
Collaborative 3D object detection exploits information exchange among multiple agents to enhance accuracy of object detection in presence of sensor impairments such as occlusion.
1 code implementation • 28 Sep 2022 • Yifan Lu, Gurkirt Singh, Suman Saha, Luc van Gool
We propose a novel domain adaptive action detection approach and a new adaptation protocol that leverages the recent advancements in image-level unsupervised domain adaptation (UDA) techniques and handle vagaries of instance-level video data.
no code implementations • 6 Jul 2022 • Yifan Lu, Ziqi Zhang, Yuxin Chen, Chunfeng Yuan, Bing Li, Weiming Hu
The task of Dense Video Captioning (DVC) aims to generate captions with timestamps for multiple events in one video.
no code implementations • 29 Sep 2021 • Xuanhong Chen, Kairui Feng, Naiyuan Liu, Yifan Lu, Bingbing Ni, Ziang Liu, Maofeng Liu
Spatial precipitation downscaling is one of the most important meteorological problems.
no code implementations • 11 Mar 2021 • Lukas Faber, Yifan Lu, Roger Wattenhofer
We find that for graph classification, a GNN is not more than the sum of its parts.
1 code implementation • 17 Dec 2020 • Xuanhong Chen, Kairui Feng, Naiyuan Liu, Bingbing Ni, Yifan Lu, Zhengyan Tong, Ziang Liu
To alleviate these obstacles, we present the first large-scale spatial precipitation downscaling dataset named RainNet, which contains more than $62, 400$ pairs of high-quality low/high-resolution precipitation maps for over $17$ years, ready to help the evolution of deep learning models in precipitation downscaling.
no code implementations • 12 Jun 2019 • Sheng Chen, Xu Wang, Chao Chen, Yifan Lu, Xijin Zhang, Linfu Wen
In this paper, we pursue very efficient neural network modules which can significantly boost the learning power of deep convolutional neural networks with negligible extra computational cost.