185 citations · 393 across the 41 of their papers we have counts for
7 papers · 1 filter
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
Yansong Tang, Jinpeng Liu, Aoyang Liu +6
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision. While a variety of new tasks and alg…
Global Spectral Filter Memory Network for Video Object Segmentation
Yong Liu, Ran Yu, Jiahao Wang +4
This paper studies semi-supervised video object segmentation through boosting intra-frame interaction. Recent memory network-based methods focus on exploiting inter-frame temporal…
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
Yansong Tang, Xingyu Liu, Xumin Yu +3
Rapid progress and superior performance have been achieved for skeleton-based action recognition recently. In this article, we investigate this problem under a cross-dataset settin…
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Yongming Rao, Wenliang Zhao, Yansong Tang +3
Recent progress in vision Transformers exhibits great success in various tasks driven by the new spatial modeling mechanism based on dot-product self-attention. In this paper, we s…
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
Wanhua Li, Xiaoke Huang, Zheng Zhu +4
This paper presents a language-powered paradigm for ordinal regression. Existing methods usually treat each rank as a category and employ a set of weights to learn these concepts.…
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion
Kejie Li, Yansong Tang, Victor Adrian Prisacariu +1
Dense 3D reconstruction from a stream of depth images is the key to many mixed reality and robotic applications. Although methods based on Truncated Signed Distance Function (TSDF)…
ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer
Rui Yang, Hailong Ma, Jie Wu +4
The vanilla self-attention mechanism inherently relies on pre-defined and steadfast computational dimensions. Such inflexibility restricts it from possessing context-oriented gener…