15 citations · 102 across the 35 of their papers we have counts for
10 papers · 1 filter
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding
Shengkai Sun, Daizong Liu, Jianfeng Dong +5
Unsupervised pre-training has shown great success in skeleton-based action understanding recently. Existing works typically train separate modality-specific models, then integrate…
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
Yunbo Tao, Daizong Liu, Pan Zhou +3
With the maturity of depth sensors, the vulnerability of 3D point cloud models has received increasing attention in various applications such as autonomous driving and robot naviga…
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval
Jianfeng Dong, Xiaoman Peng, Zhe Ma +5
Attribute-specific fashion retrieval (ASFR) is a challenging information retrieval task, which has attracted increasing attention in recent years. Different from traditional fashio…
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Jianfeng Dong +6
This paper addresses the temporal sentence grounding (TSG). Although existing methods have made decent achievements in this task, they not only severely rely on abundant video-quer…
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection
Qianjiang Hu, Daizong Liu, Wei Hu
3D object detection from point clouds is crucial in safety-critical autonomous driving. Although many works have made great efforts and achieved significant progress on this task,…
Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos
Daizong Liu, Pan Zhou
Temporal sentence localization in videos (TSLV) aims to retrieve the most interested segment in an untrimmed video according to a given sentence query. However, almost of existing…
You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
Xiang Fang, Daizong Liu, Pan Zhou +1
Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target moment semantically according to a sentence query. Although previous respectable works have made…
Tracking Objects and Activities with Attention for Temporal Sentence Grounding
Zeyu Xiong, Daizong Liu, Pan Zhou +1
Temporal sentence grounding (TSG) aims to localize the temporal segment which is semantically aligned with a natural language query in an untrimmed video.Most existing methods extr…
Hypotheses Tree Building for One-Shot Temporal Sentence Localization
Daizong Liu, Xiang Fang, Pan Zhou +3
Given an untrimmed video, temporal sentence localization (TSL) aims to localize a specific segment according to a given sentence query. Though respectable works have made decent ac…
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
Jiahao Zhu, Daizong Liu, Pan Zhou +8
Temporal sentence grounding (TSG) aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query. All existing works first utilize a spars…