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08/14/2023
CupCleaner: A Data Cleaning Approach for Comment Updating
Recently, deep learning-based techniques have shown promising performanc...
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07/15/2023
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
Learning multi-label image recognition with incomplete annotation is gai...
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06/01/2023
Beamforming Design for IRS-and-UAV-aided Two-way Amplify-and-Forward Relay Networks
As a promising solution to improve communication quality, unmanned aeria...
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04/21/2023
Picking Up Quantization Steps for Compressed Image Classification
The sensitivity of deep neural networks to compressed images hinders the...
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04/12/2023
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
We demonstrate universal polarization transformers based on an engineere...
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04/02/2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) aims at learning to classify...
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03/16/2023
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
Runtime-tunable context-dependent network compression would make mobile ...
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12/28/2022
Parsing Objects at a Finer Granularity: A Survey
Fine-grained visual parsing, including fine-grained part segmentation an...
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12/28/2022
Part-guided Relational Transformers for Fine-grained Visual Recognition
Fine-grained visual recognition is to classify objects with visually sim...
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12/05/2022
Unidirectional Imaging using Deep Learning-Designed Materials
A unidirectional imager would only permit image formation along one dire...
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11/28/2022
GRANDPA: GeneRAtive Network sampling using Degree and Property Augmentation applied to the analysis of partially confidential healthcare networks
Protecting medical privacy can create obstacles in the analysis and dist...
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06/21/2022
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks
Permutation matrices form an important computational building block freq...
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06/15/2022
Super-resolution image display using diffractive decoders
High-resolution synthesis/projection of images over a large field-of-vie...
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05/26/2022
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Privacy protection is a growing concern in the digital era, with machine...
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11/10/2021
A Structure Feature Algorithm for Multi-modal Forearm Registration
Augmented reality technology based on image registration is becoming inc...
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10/10/2021
Transformer-based Dual Relation Graph for Multi-label Image Recognition
The simultaneous recognition of multiple objects in one image remains a ...
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09/16/2021
Heterogeneous Relational Complement for Vehicle Re-identification
The crucial problem in vehicle re-identification is to find the same veh...
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09/08/2021
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
Person Re-Identification (Re-Id) in occlusion scenarios is a challenging...
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09/08/2021
RGB-D Salient Object Detection with Ubiquitous Target Awareness
Conventional RGB-D salient object detection methods aim to leverage dept...
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08/18/2021
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
In this paper, we propose a talking face generation method that takes an...
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08/01/2021
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
Point clouds obtained from 3D sensors are usually sparse. Existing metho...
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07/04/2021
A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries
Code summarization is the task of generating natural language descriptio...
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10/15/2020
Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
Context based API recommendation is an important way to help developers ...
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09/17/2020
DanceIt: Music-inspired Dancing Video Synthesis
Close your eyes and listen to music, one can easily imagine an actor dan...
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08/10/2020
Cooperative Bi-path Metric for Few-shot Learning
Given base classes with sufficient labeled samples, the target of few-sh...
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05/30/2020
Is Depth Really Necessary for Salient Object Detection?
Salient object detection (SOD) is a crucial and preliminary task for man...
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05/23/2020
Misalignment Resilient Diffractive Optical Networks
As an optical machine learning framework, Diffractive Deep Neural Networ...
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04/10/2019