429 citations · 1.7k across the 34 of their papers we have counts for
34 papers
Category Query Learning for Human-Object Interaction Classification
Chi Xie, Fangao Zeng, Yue Hu +2
Unlike most previous HOI methods that focus on learning better human-object features, we propose a novel and complementary approach called category query learning. Such queries are…
SOLQ: Segmenting Objects by Learning Queries
Bin Dong, Fangao Zeng, Tiancai Wang +2
In this paper, we propose an end-to-end framework for instance segmentation. Based on the recently introduced DETR [1], our method, termed SOLQ, segments objects by learning unifie…
MOTR: End-to-End Multiple-Object Tracking with Transformer
Fangao Zeng, Bin Dong, Yuang Zhang +3
Temporal modeling of objects is a key challenge in multiple object tracking (MOT). Existing methods track by associating detections through motion-based and appearance-based simila…
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Yifan Sun, Yuke Zhu, Yuhan Zhang +4
This paper introduces a new fundamental characteristic, \ie, the dynamic range, from real-world metric tools to deep visual recognition. In metrology, the dynamic range is a basic…
End-to-End Human Object Interaction Detection with HOI Transformer
Cheng Zou, Bohan Wang, Yue Hu +8
We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-end manner. Current approaches either decouple HOI task into separated stages of object d…
Spherical Feature Transform for Deep Metric Learning
Yuke Zhu, Yan Bai, Yichen Wei
Data augmentation in feature space is effective to increase data diversity. Previous methods assume that different classes have the same covariance in their feature distributions.…