activity
20202026
most citedMuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

15 citations · 27 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

Multimodal Label Relevance Ranking via Reinforcement Learning

Taian Guo, Taolin Zhang, Haoqian Wu +3

Conventional multi-label recognition methods often focus on label confidence, frequently overlooking the pivotal role of partial order relations consistent with human preference. T…

cs.CV2023

D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation

Hanjun Li, Xiujun Shu, Sunan He +5

Temporal sentence grounding (TSG) aims to locate a specific moment from an untrimmed video with a given natural language query. Recently, weakly supervised methods still have a lar…

cs.CV2023

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos

Xiujun Shu, Wei Wen, Liangsheng Xu +6

Video temporal character grouping locates appearing moments of major characters within a video according to their identities. To this end, recent works have evolved from unsupervis…

cs.CV2022★ 9 cited

VLMAE: Vision-Language Masked Autoencoder

Sunan He, Taian Guo, Tao Dai +4

Image and language modeling is of crucial importance for vision-language pre-training (VLP), which aims to learn multi-modal representations from large-scale paired image-text data…

cs.CV2022

Exploiting Feature Diversity for Make-up Temporal Video Grounding

Xiujun Shu, Wei Wen, Taian Guo +3

This technical report presents the 3rd winning solution for MTVG, a new task introduced in the 4-th Person in Context (PIC) Challenge at ACM MM 2022. MTVG aims at localizing the te…

cs.CV2022★ 3 cited

Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer

Sunan He, Taian Guo, Tao Dai +3

Real-world recognition system often encounters the challenge of unseen labels. To identify such unseen labels, multi-label zero-shot learning (ML-ZSL) focuses on transferring knowl…

cs.CV2020★ 15 cited

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Wenbo Li, Xin Tao, Taian Guo +3

Video super-resolution (VSR) aims to utilize multiple low-resolution frames to generate a high-resolution prediction for each frame. In this process, inter- and intra-frames are th…