Joseph Tighe

According to our database, Joseph Tighe authored at least 48 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Threshold-Consistent Margin Loss for Open-World Deep Metric Learning.

Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning for Transductive Threshold Calibration in Open-World Recognition.

Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity.

Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Early Action Recognition with Action Prototypes.

Guglielmo Camporese, Alessandro Bergamo, Xunyu Lin, Joseph Tighe, Davide Modolo

CoRR, 2023

SkeleTR: Towrads Skeleton-based Action Recognition in the Wild.

Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo

CoRR, 2023

Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness.

Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo

CoRR, 2023

Learning for Open-World Calibration with Graph Neural Networks.

Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

CoRR, 2023

SkeleTR: Towards Skeleton-based Action Recognition in the Wild.

Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ScaleDet: A Scalable Multi-Dataset Object Detector.

Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Transfer of Representations to Video Label Propagation: Implementation Factors Matter.

Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik

CoRR, 2022

SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation.

Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

NUTA: Non-uniform Temporal Aggregation for Action Recognition.

Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

An In-depth Study of Stochastic Backpropagation.

Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MaCLR: Motion-Aware Contrastive Learning of Representations for Videos.

Fanyi Xiao, Joseph Tighe, Davide Modolo

Proceedings of the Computer Vision - ECCV 2022, 2022

Large Scale Real-World Multi-person Tracking.

Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew G. Berneshawi, Alyssa Boden, Joseph Tighe

Proceedings of the Computer Vision - ECCV 2022, 2022

PSS: Progressive Sample Selection for Open-World Visual Representation Learning.

Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe

Proceedings of the Computer Vision - ECCV 2022, 2022

TubeR: Tubelet Transformer for Video Action Detection.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hierarchical Self-supervised Representation Learning for Movie Understanding.

Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Id-Free Person Similarity Learning.

Bing Shuai, Xinyu Li, Kaustav Kundu, Joseph Tighe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions.

A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCVRL: Shuffled Contrastive Video Representation Learning.

Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Multi-Object Tracking with Hallucinated and Unlabeled Videos.

Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe

CoRR, 2021

MoDist: Motion Distillation for Self-supervised Video Representation Learning.

Fanyi Xiao, Joseph Tighe, Davide Modolo

CoRR, 2021

Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing.

Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes

CoRR, 2021

TubeR: Tube-Transformer for Action Detection.

Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe

CoRR, 2021

Understanding the impact of mistakes on background regions in crowd counting.

Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Video Contrastive Learning with Global Context.

Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

VidTr: Video Transformer Without Convolutions.

Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Selective Feature Compression for Efficient Activity Recognition Inference.

Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Single View Physical Distance Estimation using Human Pose.

Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SiamMOT: Siamese Multi-Object Tracking.

Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Comprehensive Study of Deep Video Action Recognition.

Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li

CoRR, 2020

Multi-Object Tracking with Siamese Track-RCNN.

Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe

CoRR, 2020

Exploiting weakly supervised visual patterns to learn from partial annotations.

Kaustav Kundu, Joseph Tighe

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset.

Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Directional Temporal Modeling for Action Recognition.

Xinyu Li, Bing Shuai, Joseph Tighe

Proceedings of the Computer Vision - ECCV 2020, 2020

Combining Detection and Tracking for Human Pose Estimation in Videos.

Manchen Wang, Joseph Tighe, Davide Modolo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications.

Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Action Recognition With Spatial-Temporal Discriminative Filter Banks.

Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2015

Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors.

Joseph Tighe, Marc Niethammer, Svetlana Lazebnik

Int. J. Comput. Vis., 2015

2014

Combining semantic scene priors and haze removal for single image depth estimation.

Ke Wang, Enrique Dunn, Joseph Tighe, Jan-Michael Frahm

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Scene Parsing with Object Instances and Occlusion Ordering.

Joseph Tighe, Marc Niethammer, Svetlana Lazebnik

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Towards open-universe image parsing with broad coverage.

Joseph Tighe

PhD thesis, 2013

Superparsing - Scalable Nonparametric Image Parsing with Superpixels.

Joseph Tighe, Svetlana Lazebnik

Int. J. Comput. Vis., 2013

Towards Open-Universe Image Parsing with Broad Coverage.

Svetlana Lazebnik, Joseph Tighe

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors.

Joseph Tighe, Svetlana Lazebnik

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Improved Geometric Verification for Large Scale Landmark Image Collections.

Rahul Raguram, Joseph Tighe, Jan-Michael Frahm

Proceedings of the British Machine Vision Conference, 2012

2011

Understanding scenes on many levels.

Joseph Tighe, Svetlana Lazebnik

Proceedings of the IEEE International Conference on Computer Vision, 2011