b'Jue Wang'

research

∙ 08/24/2023

Motion-Guided Masking for Spatiotemporal Representation Learning

Several recent works have directly extended the image masked autoencoder...

0 David Fan, et al. ∙

research

∙ 07/26/2023

Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

The quality of training data impacts the performance of pre-trained larg...

0 Mayee F. Chen, et al. ∙

research

∙ 06/08/2023

One-step Multi-view Clustering with Diverse Representation

Multi-view clustering has attracted broad attention due to its capacity ...

0 Xinhang Wan, et al. ∙

research

∙ 05/17/2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt

Large Language Models (LLMs), armed with billions of parameters, exhibit...

9 Zhaozhuo Xu, et al. ∙

research

∙ 04/25/2023

Patch-based 3D Natural Scene Generation from a Single Example

We target a 3D generative model for general natural scenes that are typi...

0 Weiyu Li, et al. ∙

research

∙ 04/03/2023

Learning Anchor Transformations for 3D Garment Animation

This paper proposes an anchor-based deformation model, namely AnchorDEF,...

0 Fang Zhao, et al. ∙

research

∙ 04/01/2023

Improving Fast Adversarial Training with Prior-Guided Knowledge

Fast adversarial training (FAT) is an efficient method to improve robust...

0 Xiaojun Jia, et al. ∙

research

∙ 03/25/2023

Selective Structured State-Spaces for Long-Form Video Understanding

Effective modeling of complex spatiotemporal dependencies in long-form v...

9 Jue Wang, et al. ∙

research

∙ 03/15/2023

Skinned Motion Retargeting with Residual Perception of Motion Semantics Geometry

A good motion retargeting cannot be reached without reasonable considera...

0 Jiaxu Zhang, et al. ∙

research

∙ 03/15/2023

CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying

Image inpainting aims to fill the missing hole of the input. It is hard ...

0 Weihuang Liu, et al. ∙

research

∙ 03/10/2023

ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction

Reconstructing two hands from monocular RGB images is challenging due to...

0 Zhengdi Yu, et al. ∙

research

∙ 01/30/2023

Passively Addressed Morphing Surface (PARMS) Based on Machine Learning

Reconfigurable morphing surfaces provide new opportunities for advanced ...

0 Jue Wang, et al. ∙

research

∙ 01/06/2023

CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior

Speech-driven 3D facial animation has been widely studied, yet there is ...

0 Jinbo Xing, et al. ∙

research

∙ 01/03/2023

High-Quality Supersampling via Mask-reinforced Deep Learning for Real-time Rendering

To generate high quality rendering images for real time applications, it...

0 Hongliang Yuan, et al. ∙

research

∙ 12/27/2022

Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos

Learning with noisy label (LNL) is a classic problem that has been exten...

0 Zixiao Wang, et al. ∙

research

∙ 12/14/2022

Rate-Splitting Multiple Access for Uplink Massive MIMO With Electromagnetic Exposure Constraints

Over the past few years, the prevalence of wireless devices has become o...

0 Hanyu Jiang, 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...

0 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...

0 Zhian Liu, et al. ∙

research

∙ 11/16/2022

Holistic Evaluation of Language Models

Language models (LMs) are becoming the foundation for almost all major l...

21 Percy Liang, 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...

14 Zeyu Qin, et al. ∙

research

∙ 10/03/2022

Stability Analysis and Generalization Bounds of Adversarial Training

In adversarial machine learning, deep neural networks can fit the advers...

0 Jiancong Xiao, et al. ∙

research

∙ 10/02/2022

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis

Adversarial Training (AT) has been demonstrated as one of the most effec...

4 Jiancong Xiao, et al. ∙

research

∙ 10/02/2022

Understanding Adversarial Robustness Against On-manifold Adversarial Examples

Deep neural networks (DNNs) are shown to be vulnerable to adversarial ex...

0 Jiancong Xiao, et al. ∙

research

∙ 08/14/2022

HyP^2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval

Image retrieval has become an increasingly appealing technique with broa...

0 Chengyin Xu, et al. ∙

research

∙ 07/21/2022

LocVTP: Video-Text Pre-training for Temporal Localization

Video-Text Pre-training (VTP) aims to learn transferable representations...

5 Meng Cao, et al. ∙

research

∙ 07/18/2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training

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

0 Xiaojun Jia, et al. ∙

research

∙ 07/01/2022

Neural Parameterization for Dynamic Human Head Editing

Implicit radiance functions emerged as a powerful scene representation f...

0 Li Ma, 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...

5 Zhichao Huang, et al. ∙

research

∙ 06/02/2022

Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees

Communication compression is a crucial technique for modern distributed ...

1 Jue Wang, et al. ∙

research

∙ 05/31/2022

IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis

Existing 3D-aware facial generation methods face a dilemma in quality ve...

0 Jingxiang Sun, et al. ∙

research

∙ 05/26/2022

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Although the pre-trained Vision Transformers (ViTs) achieved great succe...

0 Shoufa Chen, et al. ∙

research

∙ 05/24/2022

Improving the Latent Space of Image Style Transfer

Existing neural style transfer researches have studied to match statisti...

0 Yunpeng Bai, et al. ∙

research

∙ 05/10/2022

Hybrid RIS and DMA Assisted Multiuser MIMO Uplink Transmission With Electromagnetic Exposure Constraints

In the fifth-generation and beyond era, reconfigurable intelligent surfa...

0 Hanyu Jiang, et al. ∙

research

∙ 04/17/2022

VDTR: Video Deblurring with Transformer

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

0 Mingdeng Cao, et al. ∙

research

∙ 03/31/2022

Deformable Video Transformer

Video transformers have recently emerged as an effective alternative to ...

0 Jue Wang, et al. ∙

research

∙ 03/27/2022

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Neural volume rendering has been proven to be a promising method for eff...

0 Yue Chen, et al. ∙

research

∙ 03/25/2022

Unsupervised Pre-training for Temporal Action Localization Tasks

Unsupervised video representation learning has made remarkable achieveme...

0 Can Zhang, et al. ∙

research

∙ 03/23/2022

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Pre-training video transformers on extra large-scale datasets is general...

33 Zhan Tong, 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...

0 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 ...

0 Xiaojun Jia, 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...

10 Fei Yin, et al. ∙

research

∙ 02/16/2022

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Vision Transformers (ViTs) take all the image patches as tokens and cons...

9 Youwei Liang, et al. ∙

research

∙ 12/21/2021

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only

Conventional 3D human pose estimation relies on first detecting 2D body ...

2 Jue Wang, et al. ∙

research

∙ 12/10/2021

DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings

Contrastive learning has been proven suitable for learning sentence embe...

0 Xing Wu, et al. ∙

research

∙ 11/30/2021

FENeRF: Face Editing in Neural Radiance Fields

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

0 Jingxiang Sun, et al. ∙

research

∙ 11/30/2021

Hallucinated Neural Radiance Fields in the Wild

Neural Radiance Fields (NeRF) has recently gained popularity for its imp...

7 Xingyu Chen, et al. ∙

research

∙ 11/29/2021

Deblur-NeRF: Neural Radiance Fields from Blurry Images

Neural Radiance Field (NeRF) has gained considerable attention recently ...

0 Li Ma, et al. ∙

research

∙ 10/30/2021

TransAug: Translate as Augmentation for Sentence Embeddings

While contrastive learning greatly advances the representation of senten...

0 Jue Wang, et al. ∙

research

∙ 10/11/2021

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

Studies on self-supervised visual representation learning (SSL) improve ...

0 Chongjian Ge, 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...

7 Xiaojun Jia, et al. ∙

Jue Wang

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