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08/26/2023
Graph Edit Distance Learning via Different Attention
Recently, more and more research has focused on using Graph Neural Netwo...
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08/18/2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Large language models (LLMs), such as GPT-4, have shown remarkable perfo...
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05/23/2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Latest diffusion-based methods for many image restoration tasks outperfo...
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05/28/2022
V4D: Voxel for 4D Novel View Synthesis
Neural radiance fields have made a remarkable breakthrough in the novel ...
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04/03/2022
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
In this paper, a computation efficient regression framework is presented...
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09/29/2021
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention
Computed Tomography (CT) plays an important role in monitoring radiation...
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09/15/2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
One-class novelty detection is conducted to identify anomalous instances...
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07/14/2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
One-class novelty detection is to identify anomalous instances that do n...
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01/20/2020
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
Recently, convolutional neural networks (CNNs) have achieved great impro...
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07/31/2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Video Recognition has drawn great research interest and great progress h...
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01/31/2019
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
Convolutional neural networks have been widely used in content-based ima...
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03/12/2018
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
Deep supervised hashing has emerged as an influential solution to large-...
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02/27/2018