1.9k citations · 4.3k across the 23 of their papers we have counts for
24 papers
Coarse-to-Fine Amodal Segmentation with Shape Prior
Jianxiong Gao, Xuelin Qian, Yikai Wang +4
Amodal object segmentation is a challenging task that involves segmenting both visible and occluded parts of an object. In this paper, we propose a novel approach, called Coarse-to…
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
Han Gao, Huiyuan Luo, Fei Shen +1
One-class classification (OCC) is a longstanding method for anomaly detection. With the powerful representation capability of the pre-trained backbone, OCC methods have witnessed s…
Distributionally Robust Circuit Design Optimization under Variation Shifts
Yifan Pan, Zichang He, Nanlin Guo +1
Due to the significant process variations, designers have to optimize the statistical performance distribution of nano-scale IC design in most cases. This problem has been investig…
Distributionally Robust Variational Quantum Algorithms with Shifted Noise
Zichang He, Bo Peng, Yuri Alexeev +1
Given their potential to demonstrate near-term quantum advantage, variational quantum algorithms (VQAs) have been extensively studied. Although numerous techniques have been develo…
Cross-CBAM: A Lightweight network for Scene Segmentation
Zhengbin Zhang, Zhenhao Xu, Xingsheng Gu +1
Scene parsing is a great challenge for real-time semantic segmentation. Although traditional semantic segmentation networks have made remarkable leap-forwards in semantic accuracy,…
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code Representation
Dongyue Guo, Zheng Zhang, Zhen Yan +2
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers in managing airspace more safely and efficiently. Exi…
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
Ziyue Liu, Yixing Li, Jing Hu +5
Thermal issue is a major concern in 3D integrated circuit (IC) design. Thermal optimization of 3D IC often requires massive expensive PDE simulations. Neural network-based thermal…
Apples and Oranges? Assessing Image Quality over Content Recognition
Junyong You, Zheng Zhang
Image recognition and quality assessment are two important viewing tasks, while potentially following different visual mechanisms. This paper investigates if the two tasks can be p…
Electromagnetic Environment Analysis of High-Power Wireless Charging Device
Zhengyang Zhang, Zhihui Liu, Wenjin Zhang +2
Objective Aiming at the problems of many interference factors in the electromagnetic radiation simulation of electric vehicles, a field measurement scheme for charging devices is d…
Research on Early Warning and NB-IoT Real-time Monitoring System for Radiation Source Shedding of Gamma Flaw Detection Machine
Zheng-yang Zhang, Zhi-hui Liu, Rui Zhang +2
The system takes the embedded system single chip as the core, and organizes the gamma ray induction module, keying switch, radiation source braid locking mechanism, on-site alarm e…
An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator
Kun Liu, Huiyuan Fu, Zheng Zhang +1
This paper provides a brief overview of our submission to the no interaction track of SAPIEN ManiSkill Challenge 2021. Our approach follows an end-to-end pipeline which mainly cons…
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang, Da Zheng, Zihao Ye +12
Advancing research in the emerging field of deep graph learning requires new tools to support tensor computation over graphs. In this paper, we present the design principles and im…
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming
Zichang He, Weilong Cui, Chunfeng Cui +2
The post-Moore era casts a shadow of uncertainty on many aspects of computer system design. Managing that uncertainty requires new algorithmic tools to make quantitative assessment…
Loss Functions for Multiset Prediction
Sean Welleck, Zixin Yao, Yu Gai +3
We study the problem of multiset prediction. The goal of multiset prediction is to train a predictor that maps an input to a multiset consisting of multiple items. Unlike existing…
Discriminative Block-Diagonal Representation Learning for Image Recognition
Zheng Zhang, Yong Xu, Ling Shao +1
Existing block-diagonal representation researches mainly focuses on casting block-diagonal regularization on training data, while only little attention is dedicated to concurrently…
Local Multiple Directional Pattern of Palmprint Image
Lunke Fei, Jie Wen, Zheng Zhang +2
Lines are the most essential and discriminative features of palmprint images, which motivate researches to propose various line direction based methods for palmprint recognition. C…
Natural Scene Character Recognition Using Robust PCA and Sparse Representation
Zheng Zhang, Yong Xu, Cheng-Lin Liu
Natural scene character recognition is challenging due to the cluttered background, which is hard to separate from text. In this paper, we propose a novel method for robust scene c…
Multi-Oriented Text Detection with Fully Convolutional Networks
Zheng Zhang, Chengquan Zhang, Wei Shen +3
In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine p…
A survey of sparse representation: algorithms and applications
Zheng Zhang, Yong Xu, Jian Yang +2
Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision and pattern recognition. Sparse representation…
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen, Mu Li, Yutian Li +7
MXNet is a multi-language machine learning (ML) library to ease the development of ML algorithms, especially for deep neural networks. Embedded in the host language, it blends decl…
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks
Quan Gan, Qipeng Guo, Zheng Zhang +1
In this paper, we propose and study a novel visual object tracking approach based on convolutional networks and recurrent networks. The proposed approach is distinct from the exist…
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao, Yichong Xu, Kuiyuan Yang +3
Fine-grained classification is challenging because categories can only be discriminated by subtle and local differences. Variances in the pose, scale or rotation usually make the p…
Scale-Invariant Convolutional Neural Networks
Yichong Xu, Tianjun Xiao, Jiaxing Zhang +2
Even though convolutional neural networks (CNN) has achieved near-human performance in various computer vision tasks, its ability to tolerate scale variations is limited. The popul…
Millimeter-Thick Single-Walled Carbon Nanotube Forests: Hidden Role of Catalyst Support
S. Noda, K. Hasegawa, H. Sugime +4
A parametric study of so-called "super growth" of single-walled carbon nanotubes(SWNTs) was done by using combinatorial libraries of iron/aluminum oxide catalysts. Millimeter-thick…