128 citations · 398 across the 20 of their papers we have counts for
6 papers · 1 filter
Similarity R-C3D for Few-shot Temporal Activity Detection
Huijuan Xu, Bingyi Kang, Ximeng Sun +3
Many activities of interest are rare events, with only a few labeled examples available. Therefore models for temporal activity detection which are able to learn from a few example…
Spatio-Temporal Action Graph Networks
Roei Herzig, Elad Levi, Huijuan Xu +5
Events defined by the interaction of objects in a scene are often of critical importance; yet important events may have insufficient labeled examples to train a conventional deep m…
TwoStreamVAN: Improving Motion Modeling in Video Generation
Ximeng Sun, Huijuan Xu, Kate Saenko
Video generation is an inherently challenging task, as it requires modeling realistic temporal dynamics as well as spatial content. Existing methods entangle the two intrinsically…
Multilevel Language and Vision Integration for Text-to-Clip Retrieval
Huijuan Xu, Kun He, Bryan A. Plummer +3
We address the problem of text-based activity retrieval in video. Given a sentence describing an activity, our task is to retrieve matching clips from an untrimmed video. To captur…
Joint Event Detection and Description in Continuous Video Streams
Huijuan Xu, Boyang Li, Vasili Ramanishka +2
Dense video captioning is a fine-grained video understanding task that involves two sub-problems: localizing distinct events in a long video stream, and generating captions for the…
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
Yancheng Bai, Huijuan Xu, Kate Saenko +1
Activity detection is a fundamental problem in computer vision. Detecting activities of different temporal scales is particularly challenging. In this paper, we propose the context…