Search Results Xiangyang Xue

Found 136 papers, 54 papers with code

FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View

no code implementations5 Mar 2024 Jiawei Hou, Xiaoyan Li, Wenhao Guan, Gang Zhang, Di Feng, Yuheng Du, xiangyang xue, Jian Pu

In autonomous driving, 3D occupancy prediction outputs voxel-wise status and semantic labels for more comprehensive understandings of 3D scenes compared with traditional perception tasks, such as 3D object detection and bird's-eye view (BEV) semantic segmentation.

3D Object Detection Autonomous Driving +2

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability

no code implementations19 Feb 2024 Xuelin Qian, Yu Wang, Simian Luo, yinda zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, xiangyang xue, Bo Zhao, Tiejun Huang, Yunsheng Wu, Yanwei Fu

In this paper, we extend auto-regressive models to 3D domains, and seek a stronger ability of 3D shape generation by improving auto-regressive models at capacity and scalability simultaneously.

3D Shape Generation Image Generation +1

Repositioning the Subject within Image

1 code implementation30 Jan 2024 Yikai Wang, Chenjie Cao, Ke Fan, Qiaole Dong, YiFan Li, xiangyang xue, Yanwei Fu

Our research reveals that the fundamental sub-tasks of subject repositioning, which include filling the void left by the repositioned subject, reconstructing obscured portions of the subject and blending the subject to be consistent with surrounding areas, can be effectively reformulated as a unified, prompt-guided inpainting task.

Image Generation Image Manipulation

Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection

no code implementations18 Jan 2024 Fan Shi, Bin Li, xiangyang xue

In the odd-one-out task and two held-out configurations, RAISE can leverage acquired latent concepts and atomic rules to find the rule-breaking image in a matrix and handle problems with unseen combinations of rules and attributes.

Answer Generation Attribute +2

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints

no code implementations3 Jan 2024 Jinyang Yuan, Tonglin Chen, Zhimeng Shen, Bin Li, xiangyang xue

This ability is essential for humans to identify the same object while moving and to learn from vision efficiently.

Object

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection

no code implementations26 Dec 2023 Songmin Dai, Yifan Wu, Xiaoqiang Li, xiangyang xue

Recent unsupervised anomaly detection methods often rely on feature extractors pretrained with auxiliary datasets or on well-crafted anomaly-simulated samples.

Unsupervised Anomaly Detection

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients

1 code implementation19 Nov 2023 Shangchao Su, Bin Li, xiangyang xue

The implementation of FedRA is straightforward and can be seamlessly integrated into any transformer-based model without the need for further modification to the original model.

Federated Learning

One-Shot Federated Learning with Classifier-Guided Diffusion Models

no code implementations15 Nov 2023 Mingzhao Yang, Shangchao Su, Bin Li, xiangyang xue

Leveraging the extensive knowledge stored in the pre-trained diffusion model, the synthetic datasets can assist us in surpassing the knowledge limitations of the client samples, resulting in aggregation models that even outperform the performance ceiling of centralized training in some cases, which is convincingly demonstrated in the sufficient quantification and visualization experiments conducted on three large-scale multi-domain image datasets.

Federated Learning

OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D Data

no code implementations20 Oct 2023 Yijie Zhou, Likun Cai, Xianhui Cheng, Zhongxue Gan, xiangyang xue, Wenchao Ding

In the era of big data and large models, automatic annotating functions for multi-modal data are of great significance for real-world AI-driven applications, such as autonomous driving and embodied AI.

Autonomous Driving