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06/26/2023
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer
In recent years, live streaming platforms have gained immense popularity...
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01/17/2023
Free Lunch for Generating Effective Outlier Supervision
When deployed in practical applications, computer vision systems will en...
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11/19/2022
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset
Video understanding is an important task in short video business platfor...
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07/25/2022
Domain Decorrelation with Potential Energy Ranking
Machine learning systems, especially the methods based on deep learning,...
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05/21/2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks
Recent studies show that the deep neural networks (DNNs) have achieved g...
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12/22/2021
GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples
This paper focuses on the problem of detecting out-of-distribution (ood)...
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08/29/2021
Differentiable Convolution Search for Point Cloud Processing
Exploiting convolutional neural networks for point cloud processing is q...
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08/05/2021
dp-GAN : Alleviating Mode Collapse in GAN via Diversity Penalty Module
The vanilla GAN [5] suffers from mode collapse deeply, which usually man...
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03/29/2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in...
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03/11/2021
Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
The key procedure of haze image translation through adversarial training...
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04/26/2020
Stitcher: Feedback-driven Data Provider for Object Detection
Object detectors commonly vary quality according to scales, where the pe...
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10/28/2019
FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
Chinese character synthesis involves two related aspects, i.e., style ma...
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09/09/2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Point cloud processing is very challenging, as the diverse shapes formed...
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05/15/2019
Joint haze image synthesis and dehazing with mmd-vae losses
Fog and haze are weathers with low visibility which are adversarial to t...
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05/06/2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax
For network architecture search (NAS), it is crucial but challenging to ...
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05/05/2019
Deep Discriminative Clustering Analysis
Traditional clustering methods often perform clustering with low-level i...
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03/26/2019
DetNAS: Neural Architecture Search on Object Detection
Object detectors are usually equipped with networks designed for image c...
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01/17/2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Neural architecture search (NAS) methods have been proposed to release h...
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11/23/2018
Joint Neural Architecture Search and Quantization
Designing neural architectures is a fundamental step in deep learning ap...
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08/01/2018
Reinforced Evolutionary Neural Architecture Search
Neural architecture search (NAS) is an important task in network design,...
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09/02/2014