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08/19/2023
Software Architecture in Practice: Challenges and Opportunities
Software architecture has been an active research field for nearly four ...
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08/08/2023
Exploring Transformers for Open-world Instance Segmentation
Open-world instance segmentation is a rising task, which aims to segment...
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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...
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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...
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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...
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04/04/2023
Multi-Level Contrastive Learning for Dense Prediction Task
In this work, we present Multi-Level Contrastive Learning for Dense Pred...
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03/14/2023
InstMove: Instance Motion for Object-centric Video Segmentation
Despite significant efforts, cutting-edge video segmentation methods sti...
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03/12/2023
Universal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified b...
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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...
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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 ...
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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...
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11/27/2022
Learning Object-Language Alignments for Open-Vocabulary Object Detection
Existing object detection methods are bounded in a fixed-set vocabulary ...
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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...
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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...
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10/09/2022
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders
Masked autoencoders (MAEs) have emerged recently as art self-supervised ...
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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...
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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...
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09/20/2022
Deep learning at the edge enables real-time streaming ptychographic imaging
Coherent microscopy techniques provide an unparalleled multi-scale view ...
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07/21/2022
In Defense of Online Models for Video Instance Segmentation
In recent years, video instance segmentation (VIS) has been largely adva...
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07/14/2022
Towards Grand Unification of Object Tracking
We present a unified method, termed Unicorn, that can simultaneously sol...
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03/05/2022
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Fine-Grained Visual Classification(FGVC) is the task that requires recog...
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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...
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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 ...
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01/03/2022
Language as Queries for Referring Video Object Segmentation
Referring video object segmentation (R-VOS) is an emerging cross-modal t...
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12/15/2021
SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation
In this work, we present SeqFormer, a frustratingly simple model for vid...
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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 ...
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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...
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10/13/2021
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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10/06/2021
Objects in Semantic Topology
A more realistic object detection paradigm, Open-World Object Detection,...
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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...
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12/31/2020
TransTrack: Multiple-Object Tracking with Transformer
Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
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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...
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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 ...
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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...
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05/04/2020
Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction
Electron tomography has achieved higher resolution and quality at reduce...
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04/02/2020
Learning to Segment the Tail
Real-world visual recognition requires handling the extreme sample imbal...
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04/04/2019
Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions
Electron tomography (ET) has become a standard technique for 3D characte...
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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...
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01/23/2019