| Learning Self-Consistency for Deepfake Detection T Zhao, X Xu, M Xu, H Ding, Y Xiong, W Xia IEEE International Conference on Computer Vision (ICCV), 2021 | 356 | 2021 |
| Temporal Recurrent Networks for Online Action Detection M Xu, M Gao, YT Chen, LS Davis, DJ Crandall IEEE International Conference on Computer Vision (ICCV), 2019 | 222 | 2019 |
| MeMOT: Multi-Object Tracking with Memory J Cai, M Xu, W Li, Y Xiong, W Xia, Z Tu, S Soatto IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 198 | 2022 |
| Unsupervised Traffic Accident Detection in First-Person Videos Y Yao, M Xu, Y Wang, DJ Crandall, EM Atkins IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 190 | 2019 |
| Stepwise Goal-Driven Networks for Trajectory Prediction C Wang, Y Wang, M Xu, DJ Crandall IEEE Robotics and Automation Letters (RA-L), 2022 | 179 | 2022 |
| Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems Y Yao, M Xu, C Choi, DJ Crandall, EM Atkins, B Dariush IEEE International Conference on Robotics and Automation (ICRA), 2019 | 165 | 2019 |
| Long Short-Term Transformer for Online Action Detection M Xu, Y Xiong, H Chen, X Li, W Xia, Z Tu, S Soatto Conference on Neural Information Processing Systems (NeurIPS), 2021 | 148 | 2021 |
| DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos Y Yao, X Wang, M Xu, Z Pu, Y Wang, E Atkins, D Crandall IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 120* | 2023 |
| TubeR: Tubelet Transformer for Video Action Detection J Zhao, Y Zhang, X Li, H Chen, B Shuai, M Xu, C Liu, K Kundu, Y Xiong, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 114 | 2022 |
| Embodied Amodal Recognition: Learning to Move to Perceive Objects J Yang, Z Ren, M Xu, X Chen, DJ Crandall, D Parikh, D Batra IEEE International Conference on Computer Vision (ICCV), 2019 | 100* | 2019 |
| Identifying First-person Camera Wearers in Third-person Videos C Fan, J Lee, M Xu, KK Singh, YJ Lee, DJ Crandall, MS Ryoo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 74 | 2017 |
| Semi-TCL: Semi-supervised track contrastive representation learning W Li, Y Xiong, S Yang, M Xu, Y Wang, W Xia arXiv preprint arXiv:2107.02396, 2021 | 66 | 2021 |
| StartNet: Online Detection of Action Start in Untrimmed Videos M Gao, M Xu, LS Davis, R Socher, C Xiong IEEE International Conference on Computer Vision (ICCV), 2019 | 65 | 2019 |
| Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition M Xu, A Sharghi, X Chen, DJ Crandall IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 | 46 | 2018 |
| Joint Person Segmentation and Identification in Synchronized First-and Third-person Videos M Xu, C Fan, Y Wang, MS Ryoo, DJ Crandall European Conference on Computer Vision (ECCV), 2018 | 44 | 2018 |
| Slowfast-llava: A strong training-free baseline for video large language models M Xu, M Gao, Z Gan, HY Chen, Z Lai, H Gang, K Kang, A Dehghan arXiv preprint arXiv:2407.15841, 2024 | 31 | 2024 |
| Automatic Estimation of Ice Bottom Surfaces from Radar Imagery M Xu, DJ Crandall, GC Fox, JD Paden IEEE International Conference on Image Processing (ICIP), 2017 | 28 | 2017 |
| SkeleTR: Towrads Skeleton-based Action Recognition in the Wild H Duan, M Xu, B Shuai, D Modolo, Z Tu, J Tighe, A Bergamo IEEE International Conference on Computer Vision (ICCV), 2023 | 24 | 2023 |
| Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models F Cheng, M Xu, Y Xiong, H Chen, X Li, W Li, W Xia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 21 | 2022 |
| Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S V Berger, M Xu, M Al-Ibadi, S Chu, D Crandall, J Paden, GC Fox IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 21* | 2019 |
David CrandallProfessor of Computer Science, Indiana UniversityOverená e-mailová adresa na: indiana.edu