b'Yi Jiang'

research

∙ 08/19/2023

Software Architecture in Practice: Challenges and Opportunities

Software architecture has been an active research field for nearly four ...

0 Zhiyuan Wan, et al. ∙

research

∙ 08/08/2023

Exploring Transformers for Open-world Instance Segmentation

Open-world instance segmentation is a rising task, which aims to segment...

0 Jiannan Wu, et al. ∙

research

∙ 05/05/2023

Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge

Fine-tuning pre-trained language models (PLMs), e.g., SciBERT, generally...

0 Jiawei Liu, et al. ∙

research

∙ 04/10/2023

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Three-dimensional inspection of nanostructures such as integrated circui...

0 Iksung Kang, et al. ∙

research

∙ 04/04/2023

EGC: Image Generation and Classification via a Single Energy-Based Model

Learning image classification and image generation using the same set of...

9 Qiushan Guo, et al. ∙

research

∙ 04/04/2023

Multi-Level Contrastive Learning for Dense Prediction Task

In this work, we present Multi-Level Contrastive Learning for Dense Pred...

7 Qiushan Guo, et al. ∙

research

∙ 03/14/2023

InstMove: Instance Motion for Object-centric Video Segmentation

Despite significant efforts, cutting-edge video segmentation methods sti...

0 Qihao Liu, et al. ∙

research

∙ 03/12/2023

Universal Instance Perception as Object Discovery and Retrieval

All instance perception tasks aim at finding certain objects specified b...

0 Bin Yan, et al. ∙

research

∙ 01/09/2023

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

We identify and overcome two key obstacles in extending the success of B...

1 Keyu Tian, et al. ∙

research

∙ 12/03/2022

Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery

In this work, we propose MEDICO, a Multi-viEw Deep generative model for ...

0 Chao Pang, et al. ∙

research

∙ 11/29/2022

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

Noninvasive X-ray imaging of nanoscale three-dimensional objects, e.g. i...

0 Iksung Kang, et al. ∙

research

∙ 11/27/2022

Learning Object-Language Alignments for Open-Vocabulary Object Detection

Existing object detection methods are bounded in a fixed-set vocabulary ...

0 Chuang Lin, et al. ∙

research

∙ 11/18/2022

The Runner-up Solution for YouTube-VIS Long Video Challenge 2022

This technical report describes our 2nd-place solution for the ECCV 2022...

0 Junfeng Wu, et al. ∙

research

∙ 10/14/2022

Periodic Artifact Reduction in Fourier transforms of Full Field Atomic Resolution Images

The discrete Fourier transform is among the most routine tools used in h...

1 Robert Hovden, et al. ∙

research

∙ 10/09/2022

Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders

Masked autoencoders (MAEs) have emerged recently as art self-supervised ...

23 Haosen Yang, et al. ∙

research

∙ 10/06/2022

MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning

Leveraging artificial intelligence for automatic retrosynthesis speeds u...

11 Yu Wang, et al. ∙

research

∙ 09/26/2022

Rethinking Resolution in the Context of Efficient Video Recognition

In this paper, we empirically study how to make the most of low-resoluti...

23 Chuofan Ma, et al. ∙

research

∙ 09/20/2022

Deep learning at the edge enables real-time streaming ptychographic imaging

Coherent microscopy techniques provide an unparalleled multi-scale view ...

27 Anakha V Babu, et al. ∙

research

∙ 07/21/2022

In Defense of Online Models for Video Instance Segmentation

In recent years, video instance segmentation (VIS) has been largely adva...

1 Junfeng Wu, et al. ∙

research

∙ 07/14/2022

Towards Grand Unification of Object Tracking

We present a unified method, termed Unicorn, that can simultaneously sol...

10 Bin Yan, et al. ∙

research

∙ 03/05/2022

MetaFormer: A Unified Meta Framework for Fine-Grained Recognition

Fine-Grained Visual Classification(FGVC) is the task that requires recog...

0 Qishuai Diao, et al. ∙

research

∙ 02/21/2022

Channel Estimation and Projection for RIS-assisted MIMO Using Zadoff-Chu Sequences

The reconfigurable intelligent surface (RIS) technology is a promising e...

0 Xuemeng Zhou, et al. ∙

research

∙ 01/07/2022

A Direct Parallel-in-Time Quasi-Boundary Value Method for Inverse Space-Dependent Source Problems

Inverse source problems arise often in real-world applications, such as ...

0 Yi Jiang, et al. ∙

research

∙ 01/03/2022

Language as Queries for Referring Video Object Segmentation

Referring video object segmentation (R-VOS) is an emerging cross-modal t...

5 Jiannan Wu, et al. ∙

research

∙ 12/15/2021

SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation

In this work, we present SeqFormer, a frustratingly simple model for vid...

16 Junfeng Wu, et al. ∙

research

∙ 11/29/2021

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

A typical pipeline for multi-object tracking (MOT) is to use a detector ...

11 Peize Sun, et al. ∙

research

∙ 11/10/2021

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

Vision-and-Language Navigation (VLN) is a task that an agent is required...

0 Chuang Lin, et al. ∙

research

∙ 10/13/2021

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Multi-object tracking (MOT) aims at estimating bounding boxes and identi...

0 Yifu Zhang, et al. ∙

research

∙ 10/06/2021

Objects in Semantic Topology

A more realistic object detection paradigm, Open-World Object Detection,...

0 Shuo Yang, et al. ∙

research

∙ 03/29/2021

Hybrid Beamforming Optimization for DOA Estimation Based on the CRB Analysis

Direction-of-arrival (DOA) estimation is one of the most demanding tasks...

0 Tian Lin, et al. ∙

research

∙ 12/31/2020

TransTrack: Multiple-Object Tracking with Transformer

Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...

20 Peize Sun, et al. ∙

research

∙ 12/10/2020

OneNet: Towards End-to-End One-Stage Object Detection

End-to-end one-stage object detection trailed thus far. This paper disco...

0 Peize Sun, et al. ∙

research

∙ 11/25/2020

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

We present Sparse R-CNN, a purely sparse method for object detection in ...

0 Peize Sun, et al. ∙

research

∙ 09/15/2020

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

In the last two decades, scholars have designed various types of bibliog...

0 Guoqiang Liang, et al. ∙

research

∙ 05/04/2020

Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction

Electron tomography has achieved higher resolution and quality at reduce...

0 Jonathan Schwartz, et al. ∙

research

∙ 04/02/2020

Learning to Segment the Tail

Real-world visual recognition requires handling the extreme sample imbal...

1 Xinting Hu, et al. ∙

research

∙ 04/04/2019

Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions

Electron tomography (ET) has become a standard technique for 3D characte...

0 Yi Jiang, et al. ∙

research

∙ 03/14/2019

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

Object detection and instance recognition play a central role in many AI...

0 Yuntao Chen, et al. ∙

research

∙ 01/23/2019

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

Highly-directional image artifacts such as ion mill curtaining, mechanic...

8 Jonathan Schwartz, et al. ∙

Yi Jiang

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