activity
20122022
most citedDecoupled Spatial-Temporal Transformer for Video Inpainting

47 citations · 192 across the 23 of their papers we have counts for

collaborators
Showing cs.CVShow all

10 papers · 1 filter

cs.CV2023

Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision

Yiping Wei, Kunyu Peng, Alina Roitberg +6

Self-supervised representation learning for human action recognition has developed rapidly in recent years. Most of the existing works are based on skeleton data while using a mult…

cs.CV20231 cited

Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments

Ruiping Liu, Jiaming Zhang, Kunyu Peng +5

Grounded Situation Recognition (GSR) is capable of recognizing and interpreting visual scenes in a contextually intuitive way, yielding salient activities (verbs) and the involved…

cs.CV202211 cited

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85

This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…

cs.CV2022

Peng Cheng Object Detection Benchmark for Smart City

Yaowei Wang, Zhouxin Yang, Rui Liu +4

Object detection is an algorithm that recognizes and locates the objects in the image and has a wide range of applications in the visual understanding of complex urban scenes. Exis…

cs.CV20217 cited

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

Rui Liu, Hanming Deng, Yangyi Huang +6

Transformer, as a strong and flexible architecture for modelling long-range relations, has been widely explored in vision tasks. However, when used in video inpainting that require…

cs.CV2021

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

Aming Wu, Rui Liu, Yahong Han +2

To improve the generalization of detectors, for domain adaptive object detection (DAOD), recent advances mainly explore aligning feature-level distributions between the source and…