most citedVideo Corpus Moment Retrieval with Contrastive Learning

89 citations · 217 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 6 cited

Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model

En Yen Puang, Hao Zhang, Hongyuan Zhu +1

In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point cloud data. The propose…

cs.CV2022★ 74 cited

Temporal Sentence Grounding in Videos: A Survey and Future Directions

Hao Zhang, Aixin Sun, Wei Jing +1

Temporal sentence grounding in videos (TSGV), \aka natural language video localization (NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that semantically…

cs.CV2021★ 6 cited

Towards Debiasing Temporal Sentence Grounding in Video

Hao Zhang, Aixin Sun, Wei Jing +1

The temporal sentence grounding in video (TSGV) task is to locate a temporal moment from an untrimmed video, to match a language query, i.e., a sentence. Without considering bias i…

cs.CL2021★ 42 cited

Parallel Attention Network with Sequence Matching for Video Grounding

Hao Zhang, Aixin Sun, Wei Jing +3

Given a video, video grounding aims to retrieve a temporal moment that semantically corresponds to a language query. In this work, we propose a Parallel Attention Network with Sequ…

cs.CL2021★ 89 cited

Video Corpus Moment Retrieval with Contrastive Learning

Hao Zhang, Aixin Sun, Wei Jing +4

Given a collection of untrimmed and unsegmented videos, video corpus moment retrieval (VCMR) is to retrieve a temporal moment (i.e., a fraction of a video) that semantically corres…