activity
20162023
most citedDeep Reinforcement Learning for Visual Object Tracking in Videos

101 citations · 489 across the 33 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.CV2018★ 34 cited

MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

Da Zhang, Xiyang Dai, Xin Wang +2

This research strives for natural language moment retrieval in long, untrimmed video streams. The problem is not trivial especially when a video contains multiple moments of intere…

cs.CL2018★ 4 cited

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning

Xin Wang, Jiawei Wu, Da Zhang +2

Although promising results have been achieved in video captioning, existing models are limited to the fixed inventory of activities in the training corpus, and do not generalize to…

cs.CV2018★ 37 cited

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Xin Wang, Qiuyuan Huang, Asli Celikyilmaz +5

Vision-language navigation (VLN) is the task of navigating an embodied agent to carry out natural language instructions inside real 3D environments. In this paper, we study how to…

cs.LG2018★ 13 cited

A Variational Dirichlet Framework for Out-of-Distribution Detection

Wenhu Chen, Yilin Shen, Hongxia Jin +1

With the recently rapid development in deep learning, deep neural networks have been widely adopted in many real-life applications. However, deep neural networks are also known to…

cs.CL2018★ 3 cited

XL-NBT: A Cross-lingual Neural Belief Tracking Framework

Wenhu Chen, Jianshu Chen, Yu Su +4

Task-oriented dialog systems are becoming pervasive, and many companies heavily rely on them to complement human agents for customer service in call centers. With globalization, th…

cs.CL2018★ 23 cited

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling

Xin Wang, Wenhu Chen, Yuan-Fang Wang +1

Though impressive results have been achieved in visual captioning, the task of generating abstract stories from photo streams is still a little-tapped problem. Different from capti…