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Joseph Tighe
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2020 – today
- 2024
- [c35]Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. CVPR Workshops 2024: 1827-1836 - [c34]Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Transductive Threshold Calibration in Open-World Recognition. CVPR 2024: 17097-17106 - [c33]Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning. ICLR 2024 - 2023
- [c32]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR 2023: 7288-7297 - [c31]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV 2023: 13588-13598 - [i28]Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Open-World Calibration with Graph Neural Networks. CoRR abs/2305.12039 (2023) - [i27]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR abs/2306.04849 (2023) - [i26]Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. CoRR abs/2306.16048 (2023) - [i25]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR abs/2309.11445 (2023) - [i24]Guglielmo Camporese, Alessandro Bergamo, Xunyu Lin, Joseph Tighe, Davide Modolo:
Early Action Recognition with Action Prototypes. CoRR abs/2312.06598 (2023) - 2022
- [c30]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops 2022: 4131-4140 - [c29]A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CVPR 2022: 5343-5353 - [c28]Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo:
Hierarchical Self-supervised Representation Learning for Movie Understanding. CVPR 2022: 9717-9726 - [c27]Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tubelet Transformer for Video Action Detection. CVPR 2022: 13588-13597 - [c26]Bing Shuai, Xinyu Li, Kaustav Kundu, Joseph Tighe:
Id-Free Person Similarity Learning. CVPR 2022: 14669-14679 - [c25]Tianyue Cao
, Yongxin Wang
PSS: Progressive Sample Selection for Open-World Visual Representation Learning. ECCV (31) 2022: 278-294 - [c24]Fanyi Xiao
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos. ECCV (35) 2022: 353-370 - [c23]Bing Shuai
Large Scale Real-World Multi-person Tracking. ECCV (8) 2022: 504-521 - [c22]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. NeurIPS 2022 - [c21]Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation. WACV 2022: 175-184 - [c20]Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. WACV 2022: 827-836 - [i23]Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik:
Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR abs/2203.05553 (2022) - [i22]A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CoRR abs/2204.00746 (2022) - [i21]Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo:
Hierarchical Self-supervised Representation Learning for Movie Understanding. CoRR abs/2204.03101 (2022) - [i20]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CoRR abs/2205.11710 (2022) - [i19]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. CoRR abs/2210.00129 (2022) - [i18]Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew G. Berneshawi, Alyssa Boden, Joseph Tighe:
Large Scale Real-World Multi-Person Tracking. CoRR abs/2211.02175 (2022) - 2021
- [c19]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CVPR 2021: 12372-12382 - [c18]Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe:
Single View Physical Distance Estimation using Human Pose. ICCV 2021: 12386-12396 - [c17]Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. ICCV 2021: 13557-13567 - [c16]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. ICCV 2021: 13608-13617 - [c15]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss
Video Contrastive Learning with Global Context. ICCVW 2021: 3188 - [c14]Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. WACV 2021: 1649-1658 - [i17]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. CoRR abs/2104.00179 (2021) - [i16]Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tube-Transformer for Action Detection. CoRR abs/2104.00969 (2021) - [i15]Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. CoRR abs/2104.11746 (2021) - [i14]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CoRR abs/2105.11595 (2021) - [i13]Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing. CoRR abs/2105.14158 (2021) - [i12]Fanyi Xiao, Joseph Tighe, Davide Modolo:
MoDist: Motion Distillation for Self-supervised Video Representation Learning. CoRR abs/2106.09703 (2021) - [i11]Xiaohan Fei, Henry Wang, Xiangyu Zeng, Lin Lee Cheong, Meng Wang, Joseph Tighe:
Single View Physical Distance Estimation using Human Pose. CoRR abs/2106.10335 (2021) - [i10]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. CoRR abs/2108.02722 (2021) - [i9]Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe:
Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR abs/2108.08836 (2021) - 2020
- [c13]Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR 2020: 4612-4622 - [c12]Manchen Wang, Joseph Tighe, Davide Modolo:
Combining Detection and Tracking for Human Pose Estimation in Videos. CVPR 2020: 11085-11093 - [c11]Xinyu Li
Directional Temporal Modeling for Action Recognition. ECCV (6) 2020: 275-291 - [c10]Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe:
Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. ACM Multimedia 2020: 4625-4629 - [c9]Kaustav Kundu, Joseph Tighe:
Exploiting weakly supervised visual patterns to learn from partial annotations. NeurIPS 2020 - [i8]Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR abs/2003.01455 (2020) - [i7]Manchen Wang, Joseph Tighe, Davide Modolo:
Combining detection and tracking for human pose estimation in videos. CoRR abs/2003.13743 (2020) - [i6]Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. CoRR abs/2003.13759 (2020) - [i5]Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe:
Multi-Object Tracking with Siamese Track-RCNN. CoRR abs/2004.07786 (2020) - [i4]Xinyu Li, Bing Shuai, Joseph Tighe:
Directional Temporal Modeling for Action Recognition. CoRR abs/2007.11040 (2020) - [i3]Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li:
A Comprehensive Study of Deep Video Action Recognition. CoRR abs/2012.06567 (2020) - [i2]Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. CoRR abs/2012.08041 (2020)
2010 – 2019
- 2019
- [c8]Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe:
Action Recognition With Spatial-Temporal Discriminative Filter Banks. ICCV 2019: 5481-5490 - [i1]Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe:
Action recognition with spatial-temporal discriminative filter banks. CoRR abs/1908.07625 (2019) - 2015
- [j2]Joseph Tighe, Marc Niethammer, Svetlana Lazebnik:
Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. Int. J. Comput. Vis. 112(2): 150-171 (2015) - 2014
- [c7]Joseph Tighe, Marc Niethammer, Svetlana Lazebnik:
Scene Parsing with Object Instances and Occlusion Ordering. CVPR 2014: 3748-3755 - [c6]Ke Wang, Enrique Dunn
Combining semantic scene priors and haze removal for single image depth estimation. WACV 2014: 800-807 - 2013
- [b1]Joseph Tighe:
Towards open-universe image parsing with broad coverage. University of North Carolina, Chapel Hill, USA, 2013 - [j1]Joseph Tighe, Svetlana Lazebnik:
Superparsing - Scalable Nonparametric Image Parsing with Superpixels. Int. J. Comput. Vis. 101(2): 329-349 (2013) - [c5]Joseph Tighe, Svetlana Lazebnik:
Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. CVPR 2013: 3001-3008 - [c4]Svetlana Lazebnik, Joseph Tighe:
Towards Open-Universe Image Parsing with Broad Coverage. MVA 2013: 13-20 - 2012
- [c3]Rahul Raguram, Joseph Tighe, Jan-Michael Frahm:
Improved Geometric Verification for Large Scale Landmark Image Collections. BMVC 2012: 1-11 - 2011
- [c2]Joseph Tighe, Svetlana Lazebnik:
Understanding scenes on many levels. ICCV 2011: 335-342 - 2010
- [c1]Joseph Tighe, Svetlana Lazebnik:
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels. ECCV (5) 2010: 352-365
Coauthor Index
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last updated on 2024-10-11 18:24 CEST by the dblp team
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