373 citations · 1.3k across the 52 of their papers we have counts for
18 papers · 1 filter
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network
Xinpeng Chen, Lin Ma, Jingyuan Chen +3
In this paper, we propose a novel end-to-end model, namely Single-Stage Grounding network (SSG), to localize the referent given a referring expression within an image. Different fr…
Multi-granularity Generator for Temporal Action Proposal
Yuan Liu, Lin Ma, Yifeng Zhang +2
Temporal action proposal generation is an important task, aiming to localize the video segments containing human actions in an untrimmed video. In this paper, we propose a multi-gr…
Unsupervised Image Captioning
Yang Feng, Lin Ma, Wei Liu +1
Deep neural networks have achieved great successes on the image captioning task. However, most of the existing models depend heavily on paired image-sentence datasets, which are ve…
Non-local NetVLAD Encoding for Video Classification
Yongyi Tang, Xing Zhang, Jingwen Wang +3
This paper describes our solution for the 2 YouTube-8M video understanding challenge organized by Google AI. Unlike the video recognition benchmarks, such as Kinetics a…
Video Re-localization
Yang Feng, Lin Ma, Wei Liu +2
Many methods have been developed to help people find the video contents they want efficiently. However, there are still some unsolved problems in this area. For example, given a qu…
Recurrent Fusion Network for Image Captioning
Wenhao Jiang, Lin Ma, Yu-Gang Jiang +2
Recently, much advance has been made in image captioning, and an encoder-decoder framework has been adopted by all the state-of-the-art models. Under this framework, an input image…