Search Results for author: Yi Wei

Found 37 papers, 20 papers with code

OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields

1 code implementation14 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.

Autonomous Driving Depth Estimation +1

Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior

1 code implementation11 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.

Text to 3D

The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks

no code implementations28 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.

Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting

no code implementations25 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.

Time Series Time Series Forecasting +1

SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

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.

3D Object Detection Autonomous Driving +2

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

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.

Autonomous Driving Benchmarking

Strategic multi-task coordination over regular networks of robots with limited computation and communication capabilities

no code implementations21 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.

Fast Beam Alignment via Pure Exploration in Multi-armed Bandits

1 code implementation23 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.

Multi-Armed Bandits

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

1 code implementation7 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.

Autonomous Driving Monocular Depth Estimation

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

1 code implementation28 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.

3D Object Detection object-detection

Channel Tracking and Prediction for IRS-aided Wireless Communications

no code implementations11 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.

A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo

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.

Depth Estimation

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement

no code implementations27 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.

Cross-Lingual Information Retrieval Retrieval

NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

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).

Depth Estimation

RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection

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.

3D Object Detection Contrastive Learning +3

FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection

1 code implementation17 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.

3D Object Detection object-detection

DST: Data Selection and joint Training for Learning with Noisy Labels

no code implementations1 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.

Learning with noisy labels

Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks

1 code implementation12 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.

Link Prediction Network Embedding +1

Network Clustering for Multi-task Learning

no code implementations22 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.

Clustering Document Classification +1

Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction

no code implementations10 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.

Stock Price Prediction

Channel Estimation for IRS-aided Multiuser Communications with Reduced Error Propagation

no code implementations9 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.

SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation

1 code implementation18 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.

3D Instance Segmentation 3D Semantic Segmentation +1

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

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.

Scene Flow Estimation

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network

no code implementations3 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.

Attribute Generative Adversarial Network +1

A PDD Decoder for Binary Linear Codes With Neural Check Polytope Projection

no code implementations11 Jun 2020 Yi Wei, Ming-Min Zhao, Min-Jian Zhao, Ming Lei

Linear Programming (LP) is an important decoding technique for binary linear codes.

ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning

no code implementations14 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.

Learned Conjugate Gradient Descent Network for Massive MIMO Detection

1 code implementation10 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.

Quantization Mimic: Towards Very Tiny CNN for Object Detection

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.

Object object-detection +2

Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images

no code implementations26 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.

Fingertip Detection Hand Pose Estimation

An Improved Evaluation Framework for Generative Adversarial Networks

1 code implementation20 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.

Multi-Touch Attribution in Online Advertising with Survival Theory

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.

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