b'Yong Zhang'

research

∙ 01/16/2023

DPE: Disentanglement of Pose and Expression for General Video Portrait Editing

One-shot video-driven talking face generation aims at producing a synthe...

Youxin Pang, et al. ∙

research

∙ 01/15/2023

T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

In this work, we investigate a simple and must-known conditional generat...

Jianrong Zhang, et al. ∙

research

∙ 12/22/2022

IPProtect: protecting the intellectual property of visual datasets during data valuation

Data trading is essential to accelerate the development of data-driven m...

Gursimran Singh, et al. ∙

research

∙ 11/28/2022

High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors

High-fidelity facial avatar reconstruction from a monocular video is a s...

Yunpeng Bai, et al. ∙

research

∙ 11/27/2022

VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

We present VideoReTalking, a new system to edit the faces of a real-worl...

Kun Cheng, et al. ∙

research

∙ 11/25/2022

Fine-Grained Face Swapping via Regional GAN Inversion

We present a novel paradigm for high-fidelity face swapping that faithfu...

Zhian Liu, et al. ∙

research

∙ 11/22/2022

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

Generating talking head videos through a face image and a piece of speec...

Wenxuan Zhang, et al. ∙

research

∙ 11/21/2022

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

3D-aware generative adversarial networks (GANs) synthesize high-fidelity...

Jingxiang Sun, et al. ∙

research

∙ 11/19/2022

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization

Despite the impressive results of arbitrary image-guided style transfer ...

Nisha Huang, et al. ∙

research

∙ 10/12/2022

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Deep neural networks (DNNs) have been shown to be vulnerable to adversar...

Zeyu Qin, et al. ∙

research

∙ 10/05/2022

Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics

Measuring Sentence Textual Similarity (STS) is a classic task that can b...

Zihao Wang, et al. ∙

research

∙ 09/30/2022

Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

We describe an augmented intelligence system for simplifying and enhanci...

Rindranirina Ramamonjison, et al. ∙

research

∙ 09/26/2022

Routing and QoS Policy Optimization in SD-WAN

In modern SD-WAN networks, a global controller continuously optimizes ap...

Pham Tran Anh Quang, et al. ∙

research

∙ 09/25/2022

On optimal zero-padding of kernel truncation method

The kernel truncation method (KTM) is a commonly-used algorithm to compu...

Xin Liu, et al. ∙

research

∙ 08/16/2022

Knowledge-Injected Federated Learning

Federated learning is an emerging technique for training models from dec...

Zhenan Fan, et al. ∙

research

∙ 08/15/2022

SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding

Data augmentation is an essential technique in improving the generalizat...

Morgan Heisler, et al. ∙

research

∙ 08/03/2022

Estimating Visual Information From Audio Through Manifold Learning

We propose a new framework for extracting visual information about a sce...

Fabrizio Pedersoli, et al. ∙

research

∙ 07/18/2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training

Fast adversarial training (FAT) effectively improves the efficiency of s...

Xiaojun Jia, et al. ∙

research

∙ 07/12/2022

Revealing Unfair Models by Mining Interpretable Evidence

The popularity of machine learning has increased the risk of unfair mode...

Mohit Bajaj, et al. ∙

research

∙ 06/14/2022

Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch

Branch-and-bound is a systematic enumerative method for combinatorial op...

Tianyu Zhang, et al. ∙

research

∙ 06/14/2022

AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data

Semi-supervised learning (SSL) has seen great strides when labeled data ...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 06/13/2022

Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection

Recent high-performing Human-Object Interaction (HOI) detection techniqu...

Yong Zhang, et al. ∙

research

∙ 06/07/2022

Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning

Unsupervised representation learning methods like SwAV are proved to be ...

Mehdi Seyfi, et al. ∙

research

∙ 06/07/2022

Extending Momentum Contrast with Cross Similarity Consistency Regularization

Contrastive self-supervised representation learning methods maximize the...

Mehdi Seyfi, et al. ∙

research

∙ 06/06/2022

Fast Adversarial Training with Adaptive Step Size

While adversarial training and its variants have shown to be the most ef...

Zhichao Huang, et al. ∙

research

∙ 06/02/2022

A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System

In order to find the most likely failure scenarios which may occur under...

Yizhou Xie, et al. ∙

research

∙ 05/18/2022

Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling

Facial Action Unit (AU) detection is a crucial task for emotion analysis...

Jiyuan Cao, et al. ∙

research

∙ 05/04/2022

Performance evaluations on the parallel CHAracteristic-Spectral-Mixed (CHASM) scheme

Performance evaluations on the deterministic algorithms for 6-D problems...

Yunfeng Xiong, et al. ∙

research

∙ 04/17/2022

VDTR: Video Deblurring with Transformer

Video deblurring is still an unsolved problem due to the challenging spa...

Mingdeng Cao, et al. ∙

research

∙ 03/29/2022

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning

Hierarchical multi-agent reinforcement learning (MARL) has shown a signi...

Xubo Lyu, et al. ∙

research

∙ 03/23/2022

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Recent studies in deepfake detection have yielded promising results when...

Liang Chen, et al. ∙

research

∙ 03/13/2022

LAS-AT: Adversarial Training with Learnable Attack Strategy

Adversarial training (AT) is always formulated as a minimax problem, of ...

Xiaojun Jia, et al. ∙

research

∙ 03/10/2022

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation

Image-to-image translation models are shown to be vulnerable to the Memb...

Saeed Ranjbar Alvar, et al. ∙

research

∙ 03/08/2022

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pretrained StyleGAN

One-shot talking face generation aims at synthesizing a high-quality tal...

Fei Yin, et al. ∙

research

∙ 03/05/2022

Cosine Model Watermarking Against Ensemble Distillation

Many model watermarking methods have been developed to prevent valuable ...

Laurent Charette, et al. ∙

research

∙ 03/01/2022

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models

Building huge and highly capable language models has been a trend in the...

Mohammad Akbari, et al. ∙

research

∙ 02/28/2022

How and what to learn:The modes of machine learning

We proposal a new approach, namely the weight pathway analysis (WPA), to...

Sihan Feng, et al. ∙

research

∙ 02/24/2022

Self-Attention for Incomplete Utterance Rewriting

Incomplete utterance rewriting (IUR) has recently become an essential ta...

Yong Zhang, et al. ∙

research

∙ 02/17/2022

EBHI:A New Enteroscope Biopsy Histopathological H E Image Dataset for Image Classification Evaluation

Background and purpose: Colorectal cancer has become the third most comm...

Weiming Hu, et al. ∙

research

∙ 01/25/2022

Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment

Entity alignment aims at integrating heterogeneous knowledge from differ...

Xinhang Li, et al. ∙

research

∙ 01/07/2022

Fair and efficient contribution valuation for vertical federated learning

Federated learning is a popular technology for training machine learning...

Zhenan Fan, et al. ∙

research

∙ 12/22/2021

ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate

The 2021 NeurIPS Machine Learning for Combinatorial Optimization (ML4CO)...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 12/15/2021

Mining Minority-class Examples With Uncertainty Estimates

In the real world, the frequency of occurrence of objects is naturally s...

Gursimran Singh, et al. ∙

research

∙ 11/30/2021

FENeRF: Face Editing in Neural Radiance Fields

Previous portrait image generation methods roughly fall into two categor...

Jingxiang Sun, et al. ∙

research

∙ 11/01/2021

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

Mobile network traffic forecasting is one of the key functions in daily ...

Xing Wang, et al. ∙

research

∙ 10/20/2021

Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

The diversity of deep learning applications, datasets, and neural networ...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 10/20/2021

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples

Convolutional Neural Networks (CNNs) for visual tasks are believed to le...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 10/20/2021

EBJR: Energy-Based Joint Reasoning for Adaptive Inference

State-of-the-art deep learning models have achieved significant performa...

Mohammad Akbari, et al. ∙

research

∙ 10/11/2021

Boosting Fast Adversarial Training with Learnable Adversarial Initialization

Adversarial training (AT) has been demonstrated to be effective in impro...

Xiaojun Jia, et al. ∙

research

∙ 09/20/2021

Robust Physical-World Attacks on Face Recognition

Face recognition has been greatly facilitated by the development of deep...

Xin Zheng, et al. ∙

Yong Zhang

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