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08/18/2023
Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning
With the success of self-supervised learning, multimodal foundation mode...
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08/11/2023
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts
Teaching assistants have played essential roles in the long history of e...
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07/26/2023
LOIS: Looking Out of Instance Semantics for Visual Question Answering
Visual question answering (VQA) has been intensively studied as a multim...
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10/07/2022
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
Controllable text generation has taken a gigantic step forward these day...
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05/24/2022
OnePose: One-Shot Object Pose Estimation without CAD Models
We propose a new method named OnePose for object pose estimation. Unlike...
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05/12/2022
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Variational Auto-Encoder (VAE) has become the de-facto learning paradigm...
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02/27/2022
An Efficient End-to-End 3D Model Reconstruction based on Neural Architecture Search
Using neural networks to represent 3D objects has become popular. Howeve...
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01/19/2022
High-fidelity 3D Model Compression based on Key Spheres
In recent years, neural signed distance function (SDF) has become one of...
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12/21/2021
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models
In this letter, we explored generative image steganography based on auto...
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06/03/2021
Provably Secure Generative Linguistic Steganography
Generative linguistic steganography mainly utilized language models and ...
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05/31/2021
SN-Graph: a Minimalist 3D Object Representation for Classification
Using deep learning techniques to process 3D objects has achieved many s...
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01/11/2021
Spherical Transformer: Adapting Spherical Signal to ConvolutionalNetworks
Convolutional neural networks (CNNs) have been widely used in various vi...
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11/09/2020
Fast Hybrid Cascade for Voxel-based 3D Object Classification
Voxel-based 3D object classification has been frequently studied in rece...
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06/27/2020
PCLNet: A Practical Way for Unsupervised Deep PolSAR Representations and Few-Shot Classification
Deep learning and convolutional neural networks (CNNs) have made progres...
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04/07/2020
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
In this paper, we propose a novel system named Disp R-CNN for 3D object ...
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12/25/2019
InSphereNet: a Concise Representation and Classification Method for 3D Object
In this paper, we present an InSphereNet method for the problem of 3D ob...
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11/16/2019
Optimized CNN for PolSAR Image Classification via Differentiable Neural Architecture Search
Convolutional neural networks (CNNs) realize the automation of feature e...
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11/16/2019
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Convolutional neural networks (CNNs) have shown good performance in pola...
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10/25/2017
