research
∙
09/06/2023
Self-Supervised Disentanglement of Harmonic and Rhythmic Features in Music Audio Signals
The aim of latent variable disentanglement is to infer the multiple info...
share
research
∙
07/28/2023
Panoptic Scene Graph Generation with Semantics-prototype Learning
Panoptic Scene Graph Generation (PSG) parses objects and predicts their ...
research
∙
07/25/2023
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
Vision-based Bird's Eye View (BEV) representation is an emerging percept...
research
∙
05/21/2022
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning
Towards real-world information extraction scenario, research of relation...
research
∙
05/12/2022
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Formulated as a conditional generation problem, face animation aims at s...
research
∙
05/12/2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
As an important and challenging problem, few-shot image generation aims ...
research
∙
10/12/2021
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
As a challenging task, unsupervised person ReID aims to match the same i...
research
∙
05/14/2020
Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords
This paper describes a statistically-principled semi-supervised method o...
research
∙
03/31/2020
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Panoptic segmentation aims to perform instance segmentation for foregrou...
research
∙
09/05/2019
Adaptive Graph Representation Learning for Video Person Re-identification
Recent years have witnessed a great development of deep learning based v...
research
∙
07/03/2019
An Enhanced Ad Event-Prediction Method Based on Feature Engineering
In digital advertising, Click-Through Rate (CTR) and Conversion Rate (CV...
research
∙
02/02/2019
FDI: Quantifying Feature-based Data Inferability
Motivated by many existing security and privacy applications, e.g., netw...
research
∙
12/21/2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
research
∙
12/09/2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Designing accurate and efficient ConvNets for mobile devices is challeng...
research
∙
11/24/2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
The application of deep learning techniques resulted in remarkable impro...
research
∙
10/06/2018