153 citations · 525 across the 32 of their papers we have counts for
5 papers · 1 filter
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan, Yi Yang
In this paper, we introduce a Point Recurrent Neural Network (PointRNN) for moving point cloud processing. At each time step, PointRNN takes point coordinates $\boldsymbol{P} \in \…
Attract or Distract: Exploit the Margin of Open Set
Qianyu Feng, Guoliang Kang, Hehe Fan +1
Open set domain adaptation aims to diminish the domain shift across domains, with partially shared classes. There exist unknown target samples out of the knowledge of source domain…
Cascaded Revision Network for Novel Object Captioning
Qianyu Feng, Yu Wu, Hehe Fan +2
Image captioning, a challenging task where the machine automatically describes an image by sentences, has drawn significant attention in recent years. Despite the remarkable improv…
Adaptive Exploration for Unsupervised Person Re-Identification
Yuhang Ding, Hehe Fan, Mingliang Xu +1
Due to domain bias, directly deploying a deep person re-identification (re-ID) model trained on one dataset often achieves considerably poor accuracy on another dataset. In this pa…
Cubic LSTMs for Video Prediction
Hehe Fan, Linchao Zhu, Yi Yang
Predicting future frames in videos has become a promising direction of research for both computer vision and robot learning communities. The core of this problem involves moving ob…