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Event-Related Bias Removal for Real-time Disaster Events

Nov 02, 2020
Evangelia Spiliopoulou, Salvador Medina Maza, Eduard Hovy, Alexander Hauptmann

* To appear in EMNLP Findings 2020 

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Support-set bottlenecks for video-text representation learning

Oct 06, 2020
Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, Jo√£o Henriques, Andrea Vedaldi


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Robust Long-Term Object Tracking via Improved Discriminative Model Prediction

Aug 25, 2020
Seokeon Choi, Junhyun Lee, Yunsung Lee, Alexander Hauptmann

* Accepted to ECCV 2020 Workshop 

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From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback

Jul 30, 2020
Xinru Yang, Haozhi Qi, Mingyang Li, Alexander Hauptmann

* The SIGIR 2020 Workshop on Applied Interactive Information Systems 

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MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos

Jun 30, 2020
Xiaoyu Zhu, Junwei Liang, Alexander Hauptmann


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Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting

May 06, 2020
Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander Hauptmann

* Accepted by ACL 2020 

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SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras

Apr 04, 2020
Junwei Liang, Lu Jiang, Alexander Hauptmann


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ZSTAD: Zero-Shot Temporal Activity Detection

Mar 12, 2020
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander Hauptmann


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Gun Source and Muzzle Head Detection

Jan 29, 2020
Zhong Zhou, Isak Czeresnia Etinger, Florian Metze, Alexander Hauptmann, Alexander Waibel

* EI 2020 

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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

Dec 17, 2019
Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann

* Code, models and dataset are available at: https://next.cs.cmu.edu/multiverse/index.html 

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Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations

Sep 30, 2019
Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann

* Accepted at EMNLP 2019 

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Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting

Sep 17, 2019
Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Jun-Yan He, Alexander Hauptmann

* ACM Multimedia 2019 

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Learning Spatial Awareness to Improve Crowd Counting

Sep 16, 2019
Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Alexander Hauptmann

* ICCV 2019 Oral 

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Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos

Jul 11, 2019
Shizhe Chen, Yuqing Song, Yida Zhao, Qin Jin, Zhaoyang Zeng, Bei Liu, Jianlong Fu, Alexander Hauptmann

* Winner solution in CVPR 2019 Activitynet Dense Video Captioning challenge 

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Technical Report of the Video Event Reconstruction and Analysis (VERA) System - Shooter Localization, Models, Interface, and Beyond

Jun 08, 2019
Junwei Liang, Jay D. Aronson, Alexander Hauptmann

* The code and models are available at https://github.com/JunweiLiang/VERA_Shooter_Localization . Our system is live at https://vera.cs.cmu.edu/ 

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Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data

Jun 02, 2019
Shizhe Chen, Qin Jin, Alexander Hauptmann

* Accepted by AAAI 2019 

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Technical Report of the DAISY System -- Shooter Localization, Models, Interface, and Beyond

May 26, 2019
Junwei Liang, Jay D. Aronson, Alexander Hauptmann

* Our system is live at https://daisy.cs.cmu.edu/ 

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ExCL: Extractive Clip Localization Using Natural Language Descriptions

Apr 04, 2019
Soham Ghosh, Anuva Agarwal, Zarana Parekh, Alexander Hauptmann

* Accepted at NAACL 2019, Short Paper 

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Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Mar 25, 2019
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei


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Perceiving Physical Equation by Observing Visual Scenarios

Nov 29, 2018
Siyu Huang, Zhi-Qi Cheng, Xi Li, Xiao Wu, Zhongfei Zhang, Alexander Hauptmann

* NIPS 2018 Workshop on Modeling the Physical World 

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Traffic Danger Recognition With Surveillance Cameras Without Training Data

Nov 29, 2018
Lijun Yu, Dawei Zhang, Xiangqun Chen, Alexander Hauptmann

* To be published in proceedings of Advanced Video and Signal-based Surveillance (AVSS), 2018 15th IEEE International Conference on, pp. 378-383, IEEE 

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Accident Forecasting in CCTV Traffic Camera Videos

Sep 16, 2018
Ankit Shah, Jean Baptiste Lamare, Tuan Nguyen Anh, Alexander Hauptmann

* First three authors contributed equally, 7 pages + 1 References 

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Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset

Sep 13, 2018
Ankit Shah, Harini Kesavamoorthy, Poorva Rane, Pramati Kalwad, Alexander Hauptmann, Florian Metze

* Action recognition submission for Moments in Time Dataset - Improved results over challenge submission 

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Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance

Aug 22, 2018
Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander Hauptmann

* The code is available at http://github.com/siyuhuang/crowdcount-stackpool 

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GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning

Aug 01, 2018
Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander Hauptmann

* ACM MM 2018 (Oral) 

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RUC+CMU: System Report for Dense Captioning Events in Videos

Jun 22, 2018
Shizhe Chen, Yuqing Song, Yida Zhao, Jiarong Qiu, Qin Jin, Alexander Hauptmann

* Winner in ActivityNet 2018 Dense Video Captioning challenge 

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Focal Visual-Text Attention for Visual Question Answering

Jun 05, 2018
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander Hauptmann


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