activity
20162022
most citedSCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning

39 citations · 89 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021★ 4 cited

Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs

Kaifeng Gao, Long Chen, Yulei Niu +2

Today's VidSGG models are all proposal-based methods, i.e., they first generate numerous paired subject-object snippets as proposals, and then conduct predicate classification for…

cs.CV2021★ 1 cited

Natural Language Video Localization with Learnable Moment Proposals

Shaoning Xiao, Long Chen, Jian Shao +2

Given an untrimmed video and a natural language query, Natural Language Video Localization (NLVL) aims to identify the video moment described by the query. To address this task, ex…

cs.CV2021★ 9 cited

Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey

Feifei Shao, Long Chen, Jian Shao +5

Weakly-Supervised Object Detection (WSOD) and Localization (WSOL), i.e., detecting multiple and single instances with bounding boxes in an image using image-level labels, are long-…

cs.CV2021

VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching

Chenchi Zhang, Wenbo Ma, Jun Xiao +4

The prevailing framework for matching multimodal inputs is based on a two-stage process: 1) detecting proposals with an object detector and 2) matching text queries with proposals.…

cs.CV2021★ 17 cited

Boundary Proposal Network for Two-Stage Natural Language Video Localization

Shaoning Xiao, Long Chen, Songyang Zhang +4

We aim to address the problem of Natural Language Video Localization (NLVL)-localizing the video segment corresponding to a natural language description in a long and untrimmed vid…

cs.CV2016★ 39 cited

SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning

Long Chen, Hanwang Zhang, Jun Xiao +4

Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering. Existing visual attention models are generally spati…