Search Results for author: Yi Jiang

Found 28 papers, 13 papers with code

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data

no code implementations28 Jul 2022 Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang

In addition, Subtype-Former also achieved outstanding results in pan-cancer subtyping, which can help analyze the commonalities and differences across various cancer types at the molecular level.

Survival Analysis

In Defense of Online Models for Video Instance Segmentation

1 code implementation21 Jul 2022 Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai

In recent years, video instance segmentation (VIS) has been largely advanced by offline models, while online models gradually attracted less attention possibly due to their inferior performance.

Contrastive Learning Instance Segmentation +4

Towards Grand Unification of Object Tracking

1 code implementation14 Jul 2022 Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu

We present a unified method, termed Unicorn, that can simultaneously solve four tracking problems (SOT, MOT, VOS, MOTS) with a single network using the same model parameters.

Multi-Object Tracking Multi-Object Tracking and Segmentation +2

Physics-Inspired Unsupervised Classification for Region of Interest in X-Ray Ptychography

no code implementations29 Jun 2022 Dergan Lin, Yi Jiang, Junjing Deng, Zichao Wendy Di

X-ray ptychography allows for large fields to be imaged at high resolution at the cost of additional computational expense due to the large volume of data.

Constructions of Polyphase Golay Complementary Arrays

no code implementations20 Apr 2022 Cheng Du, Yi Jiang

For the binary GCM quads, we conjecture that the feasible sizes are arbitrary, and verify for sizes within 78 $\times$ 78 and other less densely distributed sizes.

Nonlinear Kalman Filter Using Cramer Rao Bound

no code implementations7 Apr 2022 Xin Liang, Yi Jiang

This paper studies the optimal state estimation for a dynamic system, whose transfer function can be nonlinear and the input noise can be of arbitrary distribution.

Autonomous Driving

MetaFormer: A Unified Meta Framework for Fine-Grained Recognition

2 code implementations5 Mar 2022 Qishuai Diao, Yi Jiang, Bin Wen, Jia Sun, Zehuan Yuan

Fine-Grained Visual Classification(FGVC) is the task that requires recognizing the objects belonging to multiple subordinate categories of a super-category.

 Ranked #1 on Image Classification on iNaturalist 2018 (using extra training data)

Fine-Grained Image Classification

Online Learning of Trellis Diagram Using Neural Network for Robust Detection and Decoding

no code implementations22 Feb 2022 Jie Yang, Qinghe Du, Yi Jiang

As an interesting by-product, we propose an enhancement to the BLE standard by introducing a bit interleaver to its physical layer; the resultant improvement of the receiver sensitivity can make it a better fit for some Internet of Things (IoT) communications.

online learning

Model-Based Neural Network and Its Application to Line Spectral Estimation

no code implementations14 Feb 2022 Yi Jiang, Tianyi Zhang, Wei zhang

Owing to the same layered form as an ANN, a MNN can also be optimized using the back-propagation (BP) algorithm.

Language as Queries for Referring Video Object Segmentation

1 code implementation CVPR 2022 Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo

Referring video object segmentation (R-VOS) is an emerging cross-modal task that aims to segment the target object referred by a language expression in all video frames.

Object Tracking Referring Expression Segmentation +4

SeqFormer: Sequential Transformer for Video Instance Segmentation

2 code implementations15 Dec 2021 Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai

Nevertheless, we observe that a stand-alone instance query suffices for capturing a time sequence of instances in a video, but attention mechanisms shall be done with each frame independently.

Ranked #4 on Video Instance Segmentation on YouTube-VIS validation (using extra training data)

Instance Segmentation Semantic Segmentation +1

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

3 code implementations CVPR 2022 Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo

A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID) for object association.

Multi-Object Tracking object-detection +2

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation

1 code implementation10 Nov 2021 Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan

Vision-and-Language Navigation (VLN) is a task that an agent is required to follow a language instruction to navigate to the goal position, which relies on the ongoing interactions with the environment during moving.

Navigate Vision and Language Navigation

Objects in Semantic Topology

no code implementations ICLR 2022 Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu

A more realistic object detection paradigm, Open-World Object Detection, has arisen increasing research interests in the community recently.

Incremental Learning Language Modelling +2

Hybrid Interference Mitigation Using Analog Prewhitening

no code implementations4 Mar 2021 Wei zhang, Yi Jiang, Bin Zhou, Die Hu

This paper proposes a novel scheme for mitigating strong interferences, which is applicable to various wireless scenarios, including full-duplex wireless communications and uncoordinated heterogenous networks.

Robust Output Regulation and Reinforcement Learning-based Output Tracking Design for Unknown Linear Discrete-Time Systems

no code implementations21 Jan 2021 Ci Chen, Lihua Xie, Yi Jiang, Kan Xie, Shengli Xie

To remove such a requirement, an off-policy reinforcement learning algorithm is proposed using only the measured output data along the trajectories of the system and the reference output.

Dynamical Systems

Optimising SARS-CoV-2 pooled testing strategies on social networks for low-resource settings

no code implementations31 Dec 2020 Karina I Mazzitello, Yi Jiang, Constancio M Arizmendi

We propose a network approach to determine the optimal low resources setting oriented pool testing strategies that identifies infected individuals in a small number of tests and few rounds of testing, at low prevalence of the virus.

Physics and Society Social and Information Networks

What Makes for End-to-End Object Detection?

1 code implementation10 Dec 2020 Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo

We identify that classification cost in matching cost is the main ingredient: (1) previous detectors only consider location cost, (2) by additionally introducing classification cost, previous detectors immediately produce one-to-one prediction during inference.

General Classification object-detection +1

Transferring Orbital Angular Momentum to an Electron Beam Reveals Toroidal and Chiral Order

no code implementations8 Dec 2020 Kayla X. Nguyen, Yi Jiang, Michael C. Cao, Prafull Purohit, Ajay K. Yadav, Pablo García-Fernández, Mark W. Tate, Celesta S. Chang, Pablo Aguado-Puente, Jorge Íñiguez, Fernando Gomez-Ortiz, Sol M. Gruner, Javier Junquera, Lane W. Martin, Ramamoorthy Ramesh, D. A. Muller

We find that the presence of an electric toroidal moment in a ferro-rotational phase transfers a measurable torque and orbital angular momentum to the electron beam.

Materials Science Applied Physics

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

6 code implementations CVPR 2021 Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei LI, Zehuan Yuan, Changhu Wang, Ping Luo

In our method, however, a fixed sparse set of learned object proposals, total length of $N$, are provided to object recognition head to perform classification and location.

object-detection Object Detection +1

Same data may bring conflict results: a caution to use the disruptive index

no code implementations15 Sep 2020 Guoqiang Liang, Yi Jiang, Haiyan Hou

In the last two decades, scholars have designed various types of bibliographic related indicators to identify breakthrough-class academic achievements.

Learning to Segment the Tail

1 code implementation CVPR 2020 Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang

Real-world visual recognition requires handling the extreme sample imbalance in large-scale long-tailed data.

Few-Shot Learning Incremental Learning

Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions

no code implementations4 Apr 2019 Yi Jiang, Elliot Padgett, Robert Hovden, David A. Muller

Popularized by compressed sensing, sparsity-exploiting algorithms have been applied to experimental ET data and show promise for improving reconstruction quality or reducing the total beam dose applied to a specimen.

Electron Tomography

Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing

no code implementations23 Jan 2019 Jonathan Schwartz, Yi Jiang, Yongjie Wang, Anthony Aiello, Pallab Bhattacharya, Hui Yuan, Zetian Mi, Nabil Bassim, Robert Hovden

Highly-directional image artifacts such as ion mill curtaining, mechanical scratches, or image striping from beam instability degrade the interpretability of micrographs.

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