49 citations · 80 across the 8 of their papers we have counts for
8 papers
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Yimeng Zhang, Xin Chen, Jinghan Jia +2
In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of moments described by a text sentence within a long u…
An Empirical Investigation of Representation Learning for Imitation
Xin Chen, Sam Toyer, Cody Wild +9
Imitation learning often needs a large demonstration set in order to handle the full range of situations that an agent might find itself in during deployment. However, collecting e…
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
Xin Chen, Qingtao Tang, Ke Hu +4
User historical behaviors are proved useful for Click Through Rate (CTR) prediction in online advertising system. In Meituan, one of the largest e-commerce platform in China, an it…
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
Yanjun Gao, Lulu Liu, Jason Wang +3
Temporal grounding aims to predict a time interval of a video clip corresponding to a natural language query input. In this work, we present EVOQUER, a temporal grounding framework…
Attention Distillation for Learning Video Representations
Miao Liu, Xin Chen, Yun Zhang +2
We address the challenging problem of learning motion representations using deep models for video recognition. To this end, we make use of attention modules that learn to highlight…
Unsupervised Domain Adaptation using Generative Models and Self-ensembling
Eman T. Hassan, Xin Chen, David Crandall
Transferring knowledge across different datasets is an important approach to successfully train deep models with a small-scale target dataset or when few labeled instances are avai…