71 citations · 163 across the 26 of their papers we have counts for
18 papers · 1 filter
Exploring Motion and Appearance Information for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Pan Zhou +1
This paper addresses temporal sentence grounding. Previous works typically solve this task by learning frame-level video features and align them with the textual information. A maj…
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Pan Zhou
A key solution to temporal sentence grounding (TSG) exists in how to learn effective alignment between vision and language features extracted from an untrimmed video and a sentence…
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
Daizong Liu, Xiaoye Qu, Jianfeng Dong +1
We address the problem of temporal sentence localization in videos (TSLV). Traditional methods follow a top-down framework which localizes the target segment with pre-defined segme…
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
Zhikang Zou, Xiaoye Qu, Pan Zhou +4
Recent deep networks have convincingly demonstrated high capability in crowd counting, which is a critical task attracting widespread attention due to its various industrial applic…
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou, Caiming Xiong, Xiao-Tong Yuan +1
For an image query, unsupervised contrastive learning labels crops of the same image as positives, and other image crops as negatives. Although intuitive, such a native label assig…
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Jianfeng Dong +5
This paper addresses the problem of temporal sentence grounding (TSG), which aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence quer…