CV

Education

• B.S. Computer Engineering, San Jose State University, 2004
• M.S. Computer Science, UNC Chapel Hill, 2010
• Ph.D in Computer Vision, UNC Chapel Hill, 2013

Work experience

• Oct 2020-Present: Sr. Applied Science Manager (L7)
  • AWS AI
• Oct 2015-Oct 2020: Sr. Applied Scientist (L6)
  • Amazon Go and AWS AI
• May 2014-Oct 2015: Applied Scientist (L5)
  • Amazon Go
• Aug 2013 - May 2014: Postdoctoral Research Associate
  • UNC Chapel Hill
• Jan 2005 - Aug 2008: Software Engineer 2
  • Adobe Systems Inc.

Publications

Large scale Real-world Multi-Person Tracking Bing Shuai, Alessandro Bergamo, Uta Buechler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe, ECCV 2022 [pdf]
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, ECCV 2022 [pdf]
MaCLR: Motion-aware contrastive Learning of representations for videos Fanyi Xiao, Joseph Tighe, Davide Modolo, ECCV 2022 [pdf]
SCVRL: Shuffled Contrastive Video Representation Learning Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo, CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding 2022 [pdf]
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, CVPR Oral 2022 [pdf]
Id-free person similarity learning Bing Shuai,  Xinyu Li,  Kaustav Kundu,  Joseph Tighe, CVPR 2022 [pdf]
Hierarchical Self-supervised Representation Learning for Movie Understanding Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo, CVPR 2022 [pdf]
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions ASM Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo, CVPR Oral 2022 [pdf]
Transfer of Representations to Video Label Propagation: Implementation Factors Matter Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik, arXiv preprint 2022 [pdf]
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 Fowlkes, WACV 2022 [pdf]
Nuta: Non-uniform temporal aggregation for action recognition Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe, WACV 2022 [pdf]
Video Contrastive Learning with Global Context Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, oren Schwertfeger, Cyrill Stachniss, Mu Li, ICCV workshop 2021 [pdf]
VidTr: Video Transformer Without Convolutions Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe, ICCV 2021 [pdf]
Single View Physical Distance Estimation using Human Pose Xiaohan Fei, Henry Wang, Xiangyu Zeng, Lin Lee Cheong, Meng Wang, Joseph Tighe, ICCV 2021 [pdf]
Selective Feature Compression for Efficient Activity Recognition Inference Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe, ICCV 2021 [pdf]
MoDist: Motion Distillation for Self-supervised Video Representation Learning Fanyi Xiao, Joseph Tighe, Davide Modolo, arXiv preprint 2021 [pdf]
SiamMOT: Siamese Multi-Object Tracking Bing Shuai, Andrew Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe, CVPR 2021 [pdf]
Understanding the impact of mistakes on background regions in crowd counting Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe, WACV 2021 [pdf]
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, arXiv preprint 2020 [pdf]
Exploiting weakly supervised visual patterns to learn from partial annotations Kaustav Kundu, Erhan Bas, Michael Lam, Hao Chen, Davide Modolo, Joseph Tighe, NeurIPS 2020 [pdf]
Directional temporal modeling for action recognition Xinyu Li, Bing Shuai, Joseph Tighe, ECCV 2020 [pdf]
Rethinking zero-shot video classification: End-to-end training for realistic applications Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka, CVPR 2020 [pdf]
Combining detection and tracking for human pose estimation in videos Manchen Wang, Joseph Tighe, Davide Modolo, CVPR 2020 [pdf]
Multi-object tracking with siamese track-rcnn Bing Shuai, Andrew G Berneshawi, Davide Modolo, Joseph Tighe, arXiv preprint 2020 [pdf]
Action recognition with spatial-temporal discriminative filter banks Brais Martinez, Davide Modolo, Yuanjun Xiong, Joseph Tighe, ICCV 2019 [pdf]
Scale-Aware Attention Network for Crowd Counting Rahul Rama Varior, Bing Shuai, Joseph Tighe, Davide Modolo, arXiv preprint 2019 [pdf]
Scene parsing with object instance inference using regions and per-exemplar detectors Joseph Tighe, Marc Niethammer, Svetlana Lazebnik, IJCV 2014 [pdf]
Scene Parsing with Object Instances and Occlusion Ordering Joseph Tighe, Marc Niethammer, Svetlana Lazebnik, CVPR 2014 [pdf]
Combining semantic scene priors and haze removal for single image depth estimation Ke Wang, Enrique Dunn, Joseph Tighe, Jan-Michael Frahm, WACV 2014 [pdf]
Finding things: Image parsing with regions and per-exemplar detectors Joseph Tighe, Svetlana Lazebnik, CVPR oral 2013 [pdf]
Improved Geometric Verification for Large Scale Landmark Image Collections. Rahul Raguram, Joseph Tighe, Jan-Michael Frahm, BMVC 2012 [pdf]
Understanding scenes on many levels Joseph Tighe, Svetlana Lazebnik, ICCV 2011 [pdf]
Superparsing: scalable nonparametric image parsing with superpixels Joseph Tighe, Svetlana Lazebnik, ECCV 2010 [pdf]

Talks