Reliable Propagation-Correction Modulation for Video Object Segmentation X Xu, J Wang, X Li, Y Lu AAAI Conference on Artificial Intelligence (AAAI) Oral, 2022 | 56 | 2022 |
Segment Any Anomaly without Training via Hybrid Prompt Regularization Y Cao*, X Xu*, C Sun, Y Cheng, Z Du, L Gao, W Shen arXiv preprint arXiv:2305.10724, 2023 | 44 | 2023 |
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization Y Cao, X Xu, Z Liu, W Shen IEEE Transactions on Industrial Informatics, 2023 | 34 | 2023 |
Robust Referring Video Object Segmentation with Cyclic Structural Consensus X Li, J Wang, X Xu, X Li, B Raj, Y Lu IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 33* | 2023 |
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning X Xu, Y Cao, Y Chen, W Shen, X Huang arXiv preprint arXiv:2403.11083, 2024 | 24* | 2024 |
Towards Robust Video Object Segmentation with Adaptive Object Calibration X Xu, J Wang, X Ming, Y Lu ACM International Conference on Multimedia (ACM MM), 2022 | 22 | 2022 |
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection Y Cao, X Xu, W Shen Pattern Recognition, 2024 | 16 | 2024 |
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect Y Cao*, X Xu*, J Zhang*, Y Cheng, X Huang, G Pang, W Shen arXiv preprint arXiv:2401.16402, 2024 | 15 | 2024 |
Semi-supervised Knowledge Distillation for Tiny Defect Detection Y Cao, Y Song, X Xu, S Li, Y Yu, Y Zhang, W Shen IEEE International Conference on Computer Supported Cooperative Work in …, 2022 | 9 | 2022 |
Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text X Li, J Wang, X Xu, M Yang, F Yang, Y Zhao, R Singh, B Raj Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 | 7 | 2023 |
QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition X Li, J Wang, X Xu, X Peng, R Singh, Y Lu, B Raj IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 6* | 2024 |
Online Video Instance Segmentation via Robust Context Fusion X Li, J Wang, X Xu, B Raj, Y Lu arXiv preprint arXiv:2207.05580, 2022 | 6 | 2022 |
From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking X Xu, T Zhang, S Wang, X Li, Y Chen, Y Li, B Raj, M Johnson-Roberson, ... arXiv preprint arXiv:2406.16850, 2024 | 5* | 2024 |
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization Y Cao, X Xu, C Sun, L Gao, W Shen IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 5 | 2024 |
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network W Li, X Xu, Y Gu, B Zheng, S Gao, Y Wu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 3 | 2024 |
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation H Zhang, X Wang, X Xu, Z Qing, C Gao, N Sang AAAI Conference on Artificial Intelligence (AAAI), 2024 | 2 | 2024 |
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation S Yan, X Xu, R Zhang, L Hong, W Chen, W Zhang, W Zhang European Conference on Computer Vision (ECCV), 2024 | 2 | 2024 |
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving Y Li, H Hu, Z Liu, X Xu, X Huang, D Zhao IEEE International Conference on Robotics and Automation (ICRA), 2024 | 2 | 2024 |
Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions Y Li, L Kong, H Hu, X Xu, X Huang arXiv preprint arXiv:2403.17009, 2024 | 1 | 2024 |
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection H Zhang, X Wang, X Xu, X Huang, C Han, Y Wang, C Gao, S Zhang, ... arXiv preprint arXiv:2403.06154, 2024 | 1 | 2024 |