46 citations · 47 across the 3 of their papers we have counts for
4 papers
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
Bofeng Wu, Guocheng Niu, Jun Yu +3
This paper proposes an approach to Dense Video Captioning (DVC) without pairwise event-sentence annotation. First, we adopt the knowledge distilled from relevant and well solved ta…
Local Deep-Feature Alignment for Unsupervised Dimension Reduction
Jian Zhang, Jun Yu, Dacheng Tao
This paper presents an unsupervised deep-learning framework named Local Deep-Feature Alignment (LDFA) for dimension reduction. We construct neighbourhood for each data sample and l…
Deep Reinforcement Learning for Image Hashing
Yuxin Peng, Jian Zhang, Zhaoda Ye
Deep hashing methods have received much attention recently, which achieve promising results by taking advantage of the strong representation power of deep networks. However, most e…
Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning
Chaoqun Hong, Jun Yu
Human face pose estimation aims at estimating the gazing direction or head postures with 2D images. It gives some very important information such as communicative gestures, salienc…