6 citations · 21 across the 7 of their papers we have counts for
9 papers
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Lingtong Kong, Boyuan Jiang, Donghao Luo +5
Prevailing video frame interpolation algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters…
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
Lingtong Kong, Chunhua Shen, Jie Yang
Dense optical flow estimation plays a key role in many robotic vision tasks. In the past few years, with the advent of deep learning, we have witnessed great progress in optical fl…
OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow
Lingtong Kong, Xiaohang Yang, Jie Yang
Optical flow estimation is an essential step for many real-world computer vision tasks. Existing deep networks have achieved satisfactory results by mostly employing a pyramidal co…
Communication and Localization with Extremely Large Lens Antenna Array
Jie Yang, Yong Zeng, Shi Jin +2
Achieving high-rate communication with accurate localization and wireless environment sensing has emerged as an important trend of beyond-fifth and sixth generation cellular system…
Cluster-wise Unsupervised Hashing for Cross-Modal Similarity Search
Lu Wang, Jie Yang
Large-scale cross-modal hashing similarity retrieval has attracted more and more attention in modern search applications such as search engines and autopilot, showing great superio…
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
Fanghui Liu, Xiaolin Huang, Yudong Chen +2
In this paper, we propose a fast surrogate leverage weighted sampling strategy to generate refined random Fourier features for kernel approximation. Compared to the current state-o…