1k citations · 1.8k across the 49 of their papers we have counts for
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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
Junwei Liang, Lu Jiang, Kevin Murphy +2
This paper studies the problem of predicting the distribution over multiple possible future paths of people as they move through various visual scenes. We make two main contributio…
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations
Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann
With the aim of promoting and understanding the multilingual version of image search, we leverage visual object detection and propose a model with diverse multi-head attention to l…
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai +3
Tremendous variation in the scale of people/head size is a critical problem for crowd counting. To improve the scale invariance of feature representation, recent works extensively…
Learning Spatial Awareness to Improve Crowd Counting
Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai +2
The aim of crowd counting is to estimate the number of people in images by leveraging the annotation of center positions for pedestrians' heads. Promising progresses have been made…
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps
Shih-Fu Chang, Alex Hauptmann, Louis-Philippe Morency +18
With the transformative technologies and the rapidly changing global R&D landscape, the multimedia and multimodal community is now faced with many new opportunities and uncertainti…
Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos
Shizhe Chen, Yuqing Song, Yida Zhao +5
Contextual reasoning is essential to understand events in long untrimmed videos. In this work, we systematically explore different captioning models with various contexts for the d…
Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data
Shizhe Chen, Qin Jin, Alexander Hauptmann
Bilingual lexicon induction, translating words from the source language to the target language, is a long-standing natural language processing task. Recent endeavors prove that it…
Technical Report of the Video Event Reconstruction and Analysis (VERA) System -- Shooter Localization, Models, Interface, and Beyond
Junwei Liang, Jay D. Aronson, Alexander Hauptmann
Every minute, hundreds of hours of video are uploaded to social media sites and the Internet from around the world. This material creates a visual record of the experiences of a si…
ExCL: Extractive Clip Localization Using Natural Language Descriptions
Soham Ghosh, Anuva Agarwal, Zarana Parekh +1
The task of retrieving clips within videos based on a given natural language query requires cross-modal reasoning over multiple frames. Prior approaches such as sliding window clas…
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang, Lu Jiang, Yi Yang +1
Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while manual annotations are only available in the source domain. Previous methods minimize the do…