39 citations · 89 across the 9 of their papers we have counts for
9 papers
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph
Chang Zong, Yueting Zhuang, Weiming Lu +2
Predicting the impact of publications in science and technology has become an important research area, which is useful in various real world scenarios such as technology investment…
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…
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…
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Jiahui Li, Kun Kuang, Lin Li +4
Deep neural networks have demonstrated remarkable performance in many data-driven and prediction-oriented applications, and sometimes even perform better than humans. However, thei…
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Tao Chen, Haochen Shi, Liyuan Liu +4
With recent advances in distantly supervised (DS) relation extraction (RE), considerable attention is attracted to leverage multi-instance learning (MIL) to distill high-quality su…
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-…
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.…
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…
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…