1 code implementation • 14 Dec 2023 • Chubin Zhang, Juncheng Yan, Yi Wei, Jiaxin Li, Li Liu, Yansong Tang, Yueqi Duan, Jiwen Lu
Moreover, for semantic occupancy prediction, we design several strategies to polish the prompts and filter the outputs of a pretrained open-vocabulary 2D segmentation model.
1 code implementation • 11 Dec 2023 • Fangfu Liu, Diankun Wu, Yi Wei, Yongming Rao, Yueqi Duan
Instead of retraining a costly viewpoint-aware model, we study how to fully exploit easily accessible coarse 3D knowledge to enhance the prompts and guide 2D lifting optimization for refinement.
no code implementations • 28 Oct 2023 • Xuan Qi, Yi Wei
For ReLU (Rectified Linear Unit) networks with piecewise linear activations, the number of linear convex regions serves as a natural metric to gauge the network's expressivity.
no code implementations • 25 May 2023 • Zheng Sun, Yi Wei, Wenxiao Jia, Long Yu
With the development of transformer-based methods, the performance of multivariate long-term time series forecasting has been significantly improved, however, the study of spatial features extracting in transformer-based model is rare and the consistency of different prediction periods is unsatisfactory due to the large span.
2 code implementations • ICCV 2023 • Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie zhou, Jiwen Lu
Towards a more comprehensive perception of a 3D scene, in this paper, we propose a SurroundOcc method to predict the 3D occupancy with multi-camera images.
1 code implementation • ICCV 2023 • XiaoFeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang
Towards a comprehensive benchmarking of surrounding perception algorithms, we propose OpenOccupancy, which is the first surrounding semantic occupancy perception benchmark.
no code implementations • 21 Dec 2022 • Yi Wei, Marcos M. Vasconcelos
Coordination is a desirable feature in multi-agent systems, allowing the execution of tasks that would be impossible by individual agents.
1 code implementation • 23 Oct 2022 • Yi Wei, Zixin Zhong, Vincent Y. F. Tan
The beam alignment (BA) problem consists in accurately aligning the transmitter and receiver beams to establish a reliable communication link in wireless communication systems.
1 code implementation • 7 Apr 2022 • Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie zhou
In this paper, we propose a SurroundDepth method to incorporate the information from multiple surrounding views to predict depth maps across cameras.
1 code implementation • 28 Mar 2022 • Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie zhou, Jiwen Lu
In this paper, we propose the LiDAR Distillation to bridge the domain gap induced by different LiDAR beams for 3D object detection.
no code implementations • 11 Mar 2022 • Yi Wei, Ming-Min Zhao, An Liu, Min-Jian Zhao
Based on the proposed transmission protocol, we propose a two-stage channel tracking and prediction (2SCTP) scheme to obtain the direct and reflected channels with low channel training overhead, which is achieved by exploiting the temporal correlation of the time-varying channels.
1 code implementation • ICCV 2021 • Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu
Experimental results on ScanNet and RGB-D Scenes V2 demonstrate state-of-the-art performance of the proposed deep MVS system on multi-view depth estimation, with our proposed solver consistently improving the depth quality over both conventional and deep learning based MVS pipelines.
no code implementations • 27 Dec 2021 • Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
The proposed model encodes the textual information in queries, documents and the KG with multilingual BERT, and incorporates the KG information in the query-document matching process with a hierarchical information fusion mechanism.
1 code implementation • ICCV 2021 • Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie zhou
In this work, we present a new multi-view depth estimation method that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radiance fields (NeRF).
2 code implementations • ICCV 2021 • Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie zhou
In particular, we propose to generate random layouts of a scene by making use of the objects in the synthetic CAD dataset and learn the 3D scene representation by applying object-level contrastive learning on two random scenes generated from the same set of synthetic objects.
1 code implementation • 17 May 2021 • Yi Wei, Shang Su, Jiwen Lu, Jie zhou
To tackle this problem, we propose frustum-aware geometric reasoning (FGR) to detect vehicles in point clouds without any 3D annotations.
no code implementations • 1 Mar 2021 • Yi Wei, Xue Mei, Xin Liu, Pengxiang Xu
In this paper, we propose a Data Selection and joint Training (DST) method to automatically select training samples with accurate annotations.
1 code implementation • 12 Feb 2021 • Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
A large number of network embedding methods exist to learn vectorial node representations from general graphs with both homogeneous and heterogeneous node and edge types, including some that can specifically model the distinct properties of bipartite networks.
no code implementations • 22 Jan 2021 • Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang
The majority of current MTL studies adopt the hard parameter sharing structure, where hard layers tend to learn general representations over all tasks and specific layers are prone to learn specific representations for each task.
no code implementations • 10 Jan 2021 • Yi Wei
The results show that the prediction error value only partially reflects the model accuracy of the stock price prediction, and cannot reflect the change in the direction of the model predicted stock price.
no code implementations • 9 Jan 2021 • Yi Wei, Ming-Min Zhao, Min-Jian Zhao, Yunlong Cai
Intelligent reflecting surface (IRS) has emerged as a promising paradigm to improve the capacity and reliability of a wireless communication system by smartly reconfiguring the wireless propagation environment.
1 code implementation • 18 Dec 2020 • An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie zhou
Most existing point cloud instance and semantic segmentation methods rely heavily on strong supervision signals, which require point-level labels for every point in the scene.
1 code implementation • CVPR 2021 • Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie zhou
In this paper, we propose a Point-Voxel Recurrent All-Pairs Field Transforms (PV-RAFT) method to estimate scene flow from point clouds.
no code implementations • 3 Oct 2020 • Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
We present Mask-guided Generative Adversarial Network (MagGAN) for high-resolution face attribute editing, in which semantic facial masks from a pre-trained face parser are used to guide the fine-grained image editing process.
1 code implementation • CIKM 2020 • Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang
Then the Multi-Interest Extractor Layer is applied to extract multiple user interests.
no code implementations • 11 Jun 2020 • Yi Wei, Ming-Min Zhao, Min-Jian Zhao, Ming Lei
Linear Programming (LP) is an important decoding technique for binary linear codes.
3 code implementations • 20 May 2020 • Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang
In this paper, we address the text and image matching in cross-modal retrieval of the fashion industry.
1 code implementation • WS 2020 • Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang
In e-commerce system, category prediction is to automatically predict categories of given texts.
1 code implementation • 1 Apr 2020 • Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin
It has achieved great success on many tasks of network analysis such as link prediction and node classification.
no code implementations • 14 Feb 2020 • Yi Wei, Ming-Min Zhao, Min-Jian Zhao, Ming Lei
Inspired by the recent advances in deep learning (DL), this work presents a deep neural network aided decoding algorithm for binary linear codes.
1 code implementation • 10 Jun 2019 • Yi Wei, Ming-Min Zhao, Mingyi Hong, Min-Jian Zhao, Ming Lei
Furthermore, in order to reduce the memory costs, a novel quantized LcgNet is proposed, where a low-resolution nonuniform quantizer is integrated into the LcgNet to smartly quantize the aforementioned step-sizes.
no code implementations • ICLR 2019 • Wei Gao, Yi Wei, Quanquan Li, Hongwei Qin, Wanli Ouyang, Junjie Yan
Hints can improve the performance of student model by transferring knowledge from teacher model.
no code implementations • CVPR 2019 • Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie zhou
In this paper, we present a new perspective towards image-based shape generation.
no code implementations • ECCV 2018 • Yi Wei, Xinyu Pan, Hongwei Qin, Wanli Ouyang, Junjie Yan
To the best of our knowledge, our method, called Quantization Mimic, is the first one focusing on very tiny networks.
no code implementations • 26 Apr 2018 • Yi Wei, Guijin Wang, Cairong Zhang, Hengkai Guo, Xinghao Chen, Huazhong Yang
Different from previous works, we propose a new framework, named Two-Stream Binocular Network (TSBnet) to detect fingertips from binocular images directly.
1 code implementation • 20 Mar 2018 • Shaohui Liu, Yi Wei, Jiwen Lu, Jie zhou
Unlike most existing evaluation frameworks which transfer the representation of ImageNet inception model to map images onto the feature space, our framework uses a specialized encoder to acquire fine-grained domain-specific representation.
no code implementations • 2014 IEEE International Conference on Data Mining 2015 • Ya Zhang, Yi Wei, Jianbiao Ren
With the ever enhanced capability to tracking advertisement and users' interaction with the advertisement, data-driven multi-touch attribution models, which attempt to infer the contribution from user interaction data, become an important research direction.