220 citations · 599 across the 51 of their papers we have counts for
16 papers · 1 filter
Compact On-Chip crystalline Resonator Integration with Etching Tapered Fiber Waveguide
Jun Yue, Jiamin Rong, Enbo Xing +5
Whispering-gallery mode crystalline resonators currently maintain the best quality factor (Q) record, however, compact on-chip packaging is still a challenge although various coupl…
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision
Jiawei Zhan, Jun Liu, Wei Tang +8
Multi-label image classification, which can be categorized into label-dependency and region-based methods, is a challenging problem due to the complex underlying object layouts. Al…
High sensitivity magnetic field sensor via sandwich type PDMS resonator
Weikang Xu, Jiamin Rong, Enbo Xing +5
The sandwich structure as the core layer of PDMS resonator is proposed for single-axis magnetic sensor with high sensitivity. The small Young's modulus of flexible material corresp…
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
Ling Sun, Guiqiong Liu, Xunping Jiang +4
With the demand for standardized large-scale livestock farming and the development of artificial intelligence technology, a lot of research in area of animal face recognition were…
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Jinxiang Lai, Siqian Yang, Guannan Jiang +9
Few-shot learning problem focuses on recognizing unseen classes given a few labeled images. In recent effort, more attention is paid to fine-grained feature embedding, ignoring the…
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong, Lin Geng Foo, Zhipeng Fan +3
Monocular 3D human pose estimation is quite challenging due to the inherent ambiguity and occlusion, which often lead to high uncertainty and indeterminacy. On the other hand, diff…
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Tianjiao Li, Lin Geng Foo, Qiuhong Ke +4
The goal of fine-grained action recognition is to successfully discriminate between action categories with subtle differences. To tackle this, we derive inspiration from the human…
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation
Guangchen Shi, Yirui Wu, Jun Liu +3
Incremental few-shot semantic segmentation (IFSS) targets at incrementally expanding model's capacity to segment new class of images supervised by only a few samples. However, feat…
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition
Yunsheng Pang, Qiuhong Ke, Hossein Rahmani +2
Human interaction recognition is very important in many applications. One crucial cue in recognizing an interaction is the interactive body parts. In this work, we propose a novel…
ERA: Expert Retrieval and Assembly for Early Action Prediction
Lin Geng Foo, Tianjiao Li, Hossein Rahmani +2
Early action prediction aims to successfully predict the class label of an action before it is completely performed. This is a challenging task because the beginning stages of diff…
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
Xun Long Ng, Kian Eng Ong, Qichen Zheng +3
Understanding animals' behaviors is significant for a wide range of applications. However, existing animal behavior datasets have limitations in multiple aspects, including limited…
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning
Zhiyu Mou, Jun Liu, Xiang Yun +2
In this paper, we study the cluster head detection problem of a two-level unmanned aerial vehicle (UAV) swarm network (USNET) with multiple UAV clusters, where the inherent follow…
Theoretical Analysis of Deep Neural Networks in Physical Layer Communication
Jun Liu, Haitao Zhao, Dongtang Ma +2
Recently, deep neural network (DNN)-based physical layer communication techniques have attracted considerable interest. Although their potential to enhance communication systems an…
Diffraction properties of lights with transverse orbital angular momentum
Shunlin Huang, Peng Wang, Xiong Shen +2
Spatiotemporal optical vortex (STOV) is a unique optical vortex with phase singularity in the space-time domain and the photons in a STOV can carry transverse orbital angular momen…
Topmetal-M: a novel pixel sensor for compact tracking applications
Weiping Ren, Wei Zhou, Bihui You +22
The Topmetal-M is a large area pixel sensor (18 mm * 23 mm) prototype fabricated in a new 130 nm high-resistivity CMOS process in 2019. It contains 400 rows * 512 columns square pi…
Multistep pulse compressor based on single-pass single-grating-pair main compressor
Shuman Du, Xiong Shen, Wenhai Liang +3
A multistage smoothing multistep pulse compressor (MPC) based on a single-pass single-grating-pair (SSGP) main compressor is proposed to simplify the entire petawatt (PW) compresso…