26 citations · 73 across the 17 of their papers we have counts for
17 papers
Dynamic Frame Interpolation in Wavelet Domain
Lingtong Kong, Boyuan Jiang, Donghao Luo +4
Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by em…
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Jie Yang, Soyeon Caren Han, Siqu Long +2
Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an u…
Joint Beam Management and SLAM for mmWave Communication Systems
Hang Que, Jie Yang, Chao-Kai Wen +3
The millimeter-wave (mmWave) communication technology, which employs large-scale antenna arrays, enables inherent sensing capabilities. Simultaneous localization and mapping (SLAM)…
Angle-based SLAM on 5G mmWave Systems: Design, Implementation, and Measurement
Jie Yang, Chao-Kai Wen, Jing Xu +3
Simultaneous localization and mapping (SLAM) is a key technology that provides user equipment (UE) tracking and environment mapping services, enabling the deep integration of sensi…
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering
Yu-Tao Liu, Li Wang, Jie yang +4
Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering. However, existing methods based on signed dis…
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection
Shuhao Shi, Kai Qiao, Jie Yang +3
The presence of a large number of bots in Online Social Networks (OSN) leads to undesirable social effects. Graph neural networks (GNNs) are effective in detecting bots as they uti…
ATCA: an Arc Trajectory Based Model with Curvature Attention for Video Frame Interpolation
Jinfeng Liu, Lingtong Kong, Jie Yang
Video frame interpolation is a classic and challenging low-level computer vision task. Recently, deep learning based methods have achieved impressive results, and it has been prove…
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…
Randomness Quantification for Quantum Random Number Generation Based on Detection of Amplified Spontaneous Emission Noise
Jie Yang, Fan Fan, Jinlu Liu +4
The amplified spontaneous emission (ASE) noise has been extensively studied and employed to build quantum random number generators (QRNGs). While the previous relative works mainly…
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…
Deepening Hidden Representations from Pre-trained Language Models
Junjie Yang, Hai Zhao
Transformer-based pre-trained language models have proven to be effective for learning contextualized language representation. However, current approaches only take advantage of th…
3-D Positioning and Environment Mapping for mmWave Communication Systems
Jie Yang, Shi Jin, Chao-Kai Wen +2
Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new opportunities for accurate cooperative localization, in which large bandwidths, large antenna arrays, and i…
Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image
Siyan Tao, Yao Guo, Chuang Zhu +4
In this paper, we propose a novel method for highly efficient follicular segmentation of thyroid cytopathological WSIs. Firstly, we propose a hybrid segmentation architecture, whic…