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09/20/2023
Directional Source Separation for Robust Speech Recognition on Smart Glasses
Modern smart glasses leverage advanced audio sensing and machine learnin...
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08/01/2023
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment
Video quality assessment (VQA) has attracted growing attention in recent...
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07/31/2023
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment
Video Quality Assessment (VQA), which aims to predict the perceptual qua...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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07/07/2023
Edge Element Approximation for the Spherical Interface Dynamo System
Exploring the origin and properties of magnetic fields is crucial to the...
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07/07/2023
Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network
Recently, the transformation of standard dynamic range TV (SDRTV) to hig...
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04/13/2023
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment
Video quality assessment (VQA) aims to simulate the human perception of ...
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03/01/2023
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Blind image quality assessment (BIQA) aims to automatically evaluate the...
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02/17/2023
Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches
Wake word detection exists in most intelligent homes and portable device...
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11/09/2022
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting
This paper proposes a hardware-efficient architecture, Linearized Convol...
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08/14/2022
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance...
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07/01/2022
SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping
In this work, we address the task of SDR videos to HDR videos(SDRTV-to-H...
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06/27/2022
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework
Acoustic events are sounds with well-defined spectro-temporal characteri...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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03/22/2022
Federated Self-Supervised Learning for Acoustic Event Classification
Standard acoustic event classification (AEC) solutions require large-sca...
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11/27/2021
GATER: Learning Grasp-Action-Target Embeddings and Relations for Task-Specific Grasping
Intelligent service robots require the ability to perform a variety of t...
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08/16/2021
BN-NAS: Neural Architecture Search with Batch Normalization
We present BN-NAS, neural architecture search with Batch Normalization (...
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08/07/2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
In this paper, we observe two levels of redundancies when applying visio...
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07/07/2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
We introduce the first Neural Architecture Search (NAS) method to find a...
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05/28/2021
AutoSampling: Search for Effective Data Sampling Schedules
Data sampling acts as a pivotal role in training deep learning models. H...
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05/19/2021
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight
Transfer learning can boost the performance on the targettask by leverag...
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02/05/2021
Multi-Task Self-Supervised Pre-Training for Music Classification
Deep learning is very data hungry, and supervised learning especially re...
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12/25/2020
Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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12/12/2020
DETR for Pedestrian Detection
Pedestrian detection in crowd scenes poses a challenging problem due to ...
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11/22/2020
Evolving Search Space for Neural Architecture Search
The automation of neural architecture design has been a coveted alternat...
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10/21/2020
Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
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10/09/2020
Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
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09/30/2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
The recent progress on automatically searching augmentation policies has...
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09/03/2020
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging
Knowledge Distillation (KD) is a popular area of research for reducing t...
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08/07/2020
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling
This paper proposes a network architecture mainly designed for audio tag...
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05/21/2020
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
One-shot NAS method has attracted much interest from the research commun...
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05/18/2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Training with more data has always been the most stable and effective wa...
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02/21/2020
Few-shot acoustic event detection via meta-learning
We study few-shot acoustic event detection (AED) in this paper. Few-shot...
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02/14/2020
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification
Acoustic event classification (AEC) and acoustic event detection (AED) r...
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12/24/2019
Computation Reallocation for Object Detection
The allocation of computation resources in the backbone is a crucial iss...
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10/06/2019
Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
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09/16/2019
Acoustic scene analysis with multi-head attention networks
Acoustic Scene Classification (ASC) is a challenging task, as a single s...
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09/05/2019
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Recently, Neural Architecture Search has achieved great success in large...
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09/05/2019
POD: Practical Object Detection with Scale-Sensitive Network
Scale-sensitive object detection remains a challenging task, where most ...
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07/02/2019
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification
This paper proposes a Sub-band Convolutional Neural Network for spoken t...
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07/01/2019
Compression of Acoustic Event Detection Models With Quantized Distillation
Acoustic Event Detection (AED), aiming at detecting categories of events...
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05/02/2019
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training
In this paper, we present a compression approach based on the combinatio...
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04/29/2019
Semi-supervised Acoustic Event Detection based on tri-training
This paper presents our work of training acoustic event detection (AED) ...
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01/27/2019
Secrecy Outage Analysis of Non-Orthogonal Spectrum Sharing for Heterogeneous Cellular Networks
In this paper, we investigate physical-layer security for a heterogeneou...
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10/31/2018
Compact Generalized Non-local Network
The non-local module is designed for capturing long-range spatio-tempora...
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10/19/2018
Security-Reliability Tradeoff for Distributed Antenna Systems in Heterogeneous Cellular Networks
In this paper, we investigate physical-layer security for a spectrum-sha...
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08/20/2018
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection
This paper proposes a Region-based Convolutional Recurrent Neural Networ...
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06/14/2018
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
Attention-based learning for fine-grained image recognition remains a ch...
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05/05/2017
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
We propose a max-pooling based loss function for training Long Short-Ter...
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02/05/2017