article-journal

Learning Feature Semantic Matching for Spatio-Temporal Video Grounding
Spatio-temporal video grounding (STVG) aims to localize a spatio-temporal tube, including temporal boundaries and object bounding …
Tong Zhang, Hao Fang, Hao Zhang, Jialin Gao, Xiankai Lu, Xiushan Nie, Yilong Yin
Preprint PDF Cite Code DOI 📌TMM'24
Learning Feature Semantic Matching for Spatio-Temporal Video Grounding
Relational Network via Cascade CRF for Video Language Grounding
Video Language Grounding is one of the most challenging cross-modal video understanding tasks. This task aims to localize a target …
Tong Zhang, Xiankai Lu, Hao Zhang, Xiushan Nie, Yilong Yin, Jianbing Shen
PDF Cite DOI 📌TMM'23
Relational Network via Cascade CRF for Video Language Grounding
Temporal Sentence Grounding in Videos: A Survey and Future Directions
Temporal sentence grounding in videos (TSGV), a.k.a., natural language video localization (NLVL) or video moment retrieval (VMR), aims …
Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou
Preprint PDF Cite DOI 📌TPAMI'23
Temporal Sentence Grounding in Videos: A Survey and Future Directions
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
Natural Language Video Localization (NLVL) aims to locate a target moment from an untrimmed video that semantically corresponds to a …
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Preprint PDF Cite DOI 📌TPAMI'22
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model
In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for …
En Yen Puang, Hao Zhang, Hongyuan Zhu, Wei Jing
Preprint PDF Cite DOI 📌RA-L'22
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model
Dual Adversarial Transfer for Sequence Labeling
We propose a new architecture for addressing sequence labeling, termed Dual Adversarial Transfer Network (DATNet). Specifically, the …
Joey Tianyi Zhou, Hao Zhang, Di Jing, Xi Peng
Preprint PDF Cite Code DOI 📌TPAMI'21
Dual Adversarial Transfer for Sequence Labeling
RoSeq: Robust Sequence Labeling
In this paper, we mainly investigate two issues for sequence labeling, namely label imbalance and noisy data which are commonly seen in …
Joey Tianyi Zhou, Hao Zhang, Di Jing, Xi Peng, Yang Xiao, Zhiguo Cao
Preprint PDF Cite Code DOI 📌TNNLS'19
RoSeq: Robust Sequence Labeling
Learning With Annotation of Various Degrees
In this paper, we study a new problem in the scenario of sequences labeling. To be exact, we consider that the training data are with …
Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh
Preprint PDF Cite Code DOI 📌TNNLS'19
Learning With Annotation of Various Degrees