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08/11/2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Current deep networks are very data-hungry and benefit from training on ...
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06/27/2023
DMNER: Biomedical Entity Recognition by Detection and Matching
Biomedical named entity recognition (BNER) serves as the foundation for ...
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05/18/2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
Diffusion models have recently dominated image synthesis and other relat...
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05/03/2023
Experimental Design for Any p-Norm
We consider a general p-norm objective for experimental design problems ...
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03/21/2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
Collecting and annotating images with pixel-wise labels is time-consumin...
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11/18/2022
GoSum: Extractive Summarization of Long Documents by Reinforcement Learning and Graph Organized discourse state
Handling long texts with structural information and excluding redundancy...
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11/14/2022
BiViT: Extremely Compressed Binary Vision Transformer
Model binarization can significantly compress model size, reduce energy ...
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05/16/2022
Binarizing by Classification: Is soft function really necessary?
Binary neural network leverages the Sign function to binarize real value...
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04/08/2022
Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization
Data-free quantization is a task that compresses the neural network to l...
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03/20/2022
End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipe...
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12/01/2021
Broadband beam steering for misaligned multi-mode OAM communication systems
Orbital angular momentum (OAM) at radio frequency (RF) has attracted mor...
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07/28/2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Reconstruction-based methods play an important role in unsupervised anom...
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11/26/2020
SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training
Although a polygon is a more accurate representation than an upright bou...
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10/29/2020
A Local Search Framework for Experimental Design
We present a local search framework to design and analyze both combinato...
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03/17/2020
A Spectral Approach to Network Design
We present a spectral approach to design approximation algorithms for ne...
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04/22/2019
TextCohesion: Detecting Text for Arbitrary Shapes
In this paper, we propose a pixel-wise detector named TextCohesion for s...
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04/05/2019
Network design for s-t effective resistance
We consider a new problem of designing a network with small s-t effectiv...
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12/25/2017
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss
As a basic task in computer vision, semantic segmentation can provide fu...
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11/13/2017