activity
20192023
most citedTowards Interpretable and Robust Hand Detection via Pixel-wise Prediction

21 citations · 80 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Local Compressed Video Stream Learning for Generic Event Boundary Detection

Libo Zhang, Xin Gu, Congcong Li +2

Generic event boundary detection aims to localize the generic, taxonomy-free event boundaries that segment videos into chunks. Existing methods typically require video frames to be…

cs.CV2023★ 8 cited

Collaborative Three-Stream Transformers for Video Captioning

Hao Wang, Libo Zhang, Heng Fan +1

As the most critical components in a sentence, subject, predicate and object require special attention in the video captioning task. To implement this idea, we design a novel frame…

cs.CV2023★ 1 cited

Unsupervised Domain Adaptive Detection with Network Stability Analysis

Wenzhang Zhou, Heng Fan, Tiejian Luo +1

Domain adaptive detection aims to improve the generality of a detector, learned from the labeled source domain, on the unlabeled target domain. In this work, drawing inspiration fr…

cs.CV2023★ 2 cited

MaGIC: Multi-modality Guided Image Completion

Yongsheng Yu, Hao Wang, Tiejian Luo +2

Vanilla image completion approaches exhibit sensitivity to large missing regions, attributed to the limited availability of reference information for plausible generation. To mitig…

cs.CV2023★ 6 cited

Text with Knowledge Graph Augmented Transformer for Video Captioning

Xin Gu, Guang Chen, Yufei Wang +3

Video captioning aims to describe the content of videos using natural language. Although significant progress has been made, there is still much room to improve the performance for…

cs.CV2023★ 2 cited

Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment

Libo Zhang, Wenzhang Zhou, Heng Fan +2

Domain adaptive detection aims to improve the generalization of detectors on target domain. To reduce discrepancy in feature distributions between two domains, recent approaches ac…