29 citations · 130 across the 26 of their papers we have counts for
9 papers · 1 filter
Alignment-guided Temporal Attention for Video Action Recognition
Yizhou Zhao, Zhenyang Li, Xun Guo +1
Temporal modeling is crucial for various video learning tasks. Most recent approaches employ either factorized (2D+1D) or joint (3D) spatial-temporal operations to extract temporal…
Neural Capture of Animatable 3D Human from Monocular Video
Gusi Te, Xiu Li, Xiao Li +3
We present a novel paradigm of building an animatable 3D human representation from a monocular video input, such that it can be rendered in any unseen poses and views. Our method i…
Online Video Instance Segmentation via Robust Context Fusion
Xiang Li, Jinglu Wang, Xiaohao Xu +2
Video instance segmentation (VIS) aims at classifying, segmenting and tracking object instances in video sequences. Recent transformer-based neural networks have demonstrated their…
Towards Robust Video Object Segmentation with Adaptive Object Calibration
Xiaohao Xu, Jinglu Wang, Xiang Ming +1
In the booming video era, video segmentation attracts increasing research attention in the multimedia community. Semi-supervised video object segmentation (VOS) aims at segmenting…
Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensus
Xiang Li, Jinglu Wang, Xiaohao Xu +3
Referring Video Object Segmentation (R-VOS) is a challenging task that aims to segment an object in a video based on a linguistic expression. Most existing R-VOS methods have a cri…
Rethinking Minimal Sufficient Representation in Contrastive Learning
Haoqing Wang, Xun Guo, Zhi-Hong Deng +1
Contrastive learning between different views of the data achieves outstanding success in the field of self-supervised representation learning and the learned representations are us…