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09/18/2023
Online Efficient Secure Logistic Regression based on Function Secret Sharing
Logistic regression is an algorithm widely used for binary classificatio...
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09/12/2023
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults
Recent advancements in Automatic Speech Recognition (ASR) systems, exemp...
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09/11/2023
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Personalized text-to-image generation has emerged as a powerful and soug...
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09/08/2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Pre-trained models have achieved success in Chinese Short Text Matching ...
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09/05/2023
Model-agnostic network inference enhancement from noisy measurements via curriculum learning
Noise is a pervasive element within real-world measurement data, signifi...
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08/31/2023
On the Role of Non-Localities in Fundamental Diagram Estimation
We consider the role of non-localities in speed-density data used to fit...
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08/23/2023
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
Automatic detection of facial Action Units (AUs) allows for objective fa...
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08/18/2023
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation
Referring image segmentation aims to segment an object mentioned in natu...
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07/20/2023
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Omnidirectional videos (ODVs) play an increasingly important role in the...
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07/01/2023
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence
In this paper, in order to get a better understanding of the human visua...
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06/30/2023
Stitched ViTs are Flexible Vision Backbones
Large pretrained plain vision Transformers (ViTs) have been the workhors...
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06/15/2023
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Due to the limited scale and quality of video-text training corpus, most...
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05/29/2023
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Vision and text have been fully explored in contemporary video-text foun...
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05/27/2023
Pre-trained transformer for adversarial purification
With more and more deep neural networks being deployed as various daily ...
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05/25/2023
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
Building general-purpose models that can perceive diverse real-world mod...
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05/24/2023
MMNet: Multi-Mask Network for Referring Image Segmentation
Referring image segmentation aims to segment an object referred to by na...
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05/22/2023
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
Large-scale image-text contrastive pre-training models, such as CLIP, ha...
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05/19/2023
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner
Large pre-trained multimodal models have demonstrated significant succes...
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05/18/2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
Diffusion models have recently dominated image synthesis and other relat...
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05/09/2023
Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition
Attention-based contextual biasing approaches have shown significant imp...
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04/30/2023
SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
Industrial image anomaly detection under the setting of one-class classi...
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04/24/2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Learning to optimize (L2O) has emerged as a powerful framework for black...
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04/19/2023
LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy
Evolutionary algorithms (EAs) have emerged as a powerful framework for e...
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04/17/2023
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
In this paper, we propose a Vision-Audio-Language Omni-peRception pretra...
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04/05/2023
Calibrating Cross-modal Feature for Text-Based Person Searching
We present a novel and effective method calibrating cross-modal features...
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04/03/2023
Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition
We present dual-attention neural biasing, an architecture designed to bo...
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03/30/2023
PROCTER: PROnunciation-aware ConTextual adaptER for personalized speech recognition in neural transducers
End-to-End (E2E) automatic speech recognition (ASR) systems used in voic...
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03/29/2023
Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation
As a combination of visual and audio signals, video is inherently multi-...
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03/27/2023
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis
We present OmniAvatar, a novel geometry-guided 3D head synthesis model t...
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03/24/2023
AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning
While substantial progresses have been made in automated 2D portrait sty...
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03/21/2023
Boosting Verified Training for Robust Image Classifications via Abstraction
This paper proposes a novel, abstraction-based, certified training metho...
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03/07/2023
MOSO: Decomposing MOtion, Scene and Object for Video Prediction
Motion, scene and object are three primary visual components of a video....
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02/28/2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Recent studies reveal that various biases exist in different NLP tasks, ...
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02/27/2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph, such as citation networks, social networks, and transportation ne...
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02/23/2023
A novel efficient Multi-view traffic-related object detection framework
With the rapid development of intelligent transportation system applicat...
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02/14/2023
Tag-based annotation creates better avatars
Avatar creation from human images allows users to customize their digita...
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02/02/2023
A Survey on Efficient Training of Transformers
Recent advances in Transformers have come with a huge requirement on com...
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01/25/2023
Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments
Robotic shepherding is a bio-inspired approach to autonomously guiding a...
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01/19/2023
Discover governing differential equations from evolving systems
Discovering the governing equations of evolving systems from available o...
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12/05/2022
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series
The order-preserving pattern mining can be regarded as discovering frequ...
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11/30/2022
Federated deep clustering with GAN-based data synthesis
Clustering has been extensively studied in centralized settings, but rel...
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11/28/2022
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes
Network structure evolves with time in the real world, and the discovery...
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11/15/2022
AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging
Stylized 3D avatars have become increasingly prominent in our modern lif...
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11/01/2022
Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks
As an excellent tool for aiding communication, intelligent reflecting su...
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10/29/2022
Federated clustering with GAN-based data synthesis
Federated clustering is an adaptation of centralized clustering in the f...
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10/09/2022
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning
Multimodal representation learning has shown promising improvements on v...
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09/19/2022
EcoFormer: Energy-Saving Attention with Linear Complexity
Transformer is a transformative framework that models sequential data an...
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08/23/2022
FocusFormer: Focusing on What We Need via Architecture Sampler
Vision Transformers (ViTs) have underpinned the recent breakthroughs in ...
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08/21/2022
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks
The robustness of deep neural networks is crucial to modern AI-enabled s...
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07/28/2022
