activity
20172024
most citedConstruct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention

32 citations · 93 across the 22 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

6 papers · 2 filters

cs.CV2021

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

Honglu Zhou, Asim Kadav, Aviv Shamsian +6

Group Activity Recognition detects the activity collectively performed by a group of actors, which requires compositional reasoning of actors and objects. We approach the task by m…

cs.CV2021

Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach

Xi Peng, Fengchun Qiao, Long Zhao

We are concerned with a worst-case scenario in model generalization, in the sense that a model aims to perform well on many unseen domains while there is only one single domain ava…

cs.CV2021

Improved Transformer for High-Resolution GANs

Long Zhao, Zizhao Zhang, Ting Chen +2

Attention-based models, exemplified by the Transformer, can effectively model long range dependency, but suffer from the quadratic complexity of self-attention operation, making th…

cs.CV2021

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding

Zizhao Zhang, Han Zhang, Long Zhao +3

Hierarchical structures are popular in recent vision transformers, however, they require sophisticated designs and massive datasets to work well. In this paper, we explore the idea…

cs.CV2021

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

Yuxiao Chen, Jianbo Yuan, Long Zhao +4

Cross-modal attention mechanisms have been widely applied to the image-text matching task and have achieved remarkable improvements thanks to its capability of learning fine-graine…

cs.CV2021★ 12 cited

SMIL: Multimodal Learning with Severely Missing Modality

Mengmeng Ma, Jian Ren, Long Zhao +3

A common assumption in multimodal learning is the completeness of training data, i.e., full modalities are available in all training examples. Although there exists research endeav…