b'Dongdong Chen'

research

∙ 08/20/2023

Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting

In this paper, we investigate the adversarial robustness of vision trans...

0 Qidong Huang, et al. ∙

research

∙ 06/08/2023

HQ-50K: A Large-scale, High-quality Dataset for Image Restoration

This paper introduces a new large-scale image restoration dataset, calle...

0 Qinhong Yang, et al. ∙

research

∙ 06/07/2023

Designing a Better Asymmetric VQGAN for StableDiffusion

StableDiffusion is a revolutionary text-to-image generator that is causi...

0 Zixin Zhu, et al. ∙

research

∙ 05/25/2023

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Text-to-Image diffusion models have made tremendous progress over the pa...

0 Shihao Zhao, et al. ∙

research

∙ 05/25/2023

Image is First-order Norm+Linear Autoregressive

This paper reveals that every image can be understood as a first-order n...

0 Yinpeng Chen, et al. ∙

research

∙ 05/22/2023

Album Storytelling with Iterative Story-aware Captioning and Large Language Models

This work studies how to transform an album to vivid and coherent storie...

0 Munan Ning, et al. ∙

research

∙ 05/21/2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

The convergence of text, visual, and audio data is a key step towards hu...

0 ZiYi Yang, et al. ∙

research

∙ 05/19/2023

Equivariant Multi-Modality Image Fusion

Multi-modality image fusion is a technique used to combine information f...

0 Zixiang Zhao, et al. ∙

research

∙ 04/27/2023

ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System

Existing deep video models are limited by specific tasks, fixed input-ou...

0 Junke Wang, et al. ∙

research

∙ 04/20/2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning

Mammographic image analysis is a fundamental problem in the computer-aid...

0 Zheren Li, et al. ∙

research

∙ 03/30/2023

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Neural implicit fields are powerful for representing 3D scenes and gener...

0 Ruixiang Jiang, et al. ∙

research

∙ 03/30/2023

Streaming Video Model

Video understanding tasks have traditionally been modeled by two separat...

0 Yucheng Zhao, et al. ∙

research

∙ 03/21/2023

OmniTracker: Unifying Object Tracking by Tracking-with-Detection

Object tracking (OT) aims to estimate the positions of target objects in...

0 Junke Wang, et al. ∙

research

∙ 03/14/2023

Diversity-Aware Meta Visual Prompting

We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient ...

0 Qidong Huang, et al. ∙

research

∙ 02/27/2023

Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations

Recently, both Contrastive Learning (CL) and Mask Image Modeling (MIM) d...

0 Ziyu Jiang, et al. ∙

research

∙ 01/18/2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Unsupervised domain adaption has been widely adopted in tasks with scarc...

0 Munan Ning, et al. ∙

research

∙ 01/05/2023

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching

Graph matching can be formalized as a combinatorial optimization problem...

0 Dongdong Chen, et al. ∙

research

∙ 12/15/2022

NeRF-Art: Text-Driven Neural Radiance Fields Stylization

As a powerful representation of 3D scenes, the neural radiance field (Ne...

0 Can Wang, et al. ∙

research

∙ 12/13/2022

Look Before You Match: Instance Understanding Matters in Video Object Segmentation

Exploring dense matching between the current frame and past frames for l...

0 Junke Wang, et al. ∙

research

∙ 12/12/2022

CLIP Itself is a Strong Fine-tuner: Achieving 85.7 Accuracy with ViT-B and ViT-L on ImageNet

Recent studies have shown that CLIP has achieved remarkable success in p...

0 Xiaoyi Dong, et al. ∙

research

∙ 12/07/2022

X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion

Copy-Paste is a simple and effective data augmentation strategy for inst...

0 Hanqing Zhao, et al. ∙

research

∙ 12/06/2022

Robust Point Cloud Segmentation with Noisy Annotations

Point cloud segmentation is a fundamental task in 3D. Despite recent pro...

0 Shuquan Ye, et al. ∙

research

∙ 11/29/2022

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

This paper focuses on analyzing and improving the commonsense ability of...

0 Shuquan Ye, et al. ∙

research

∙ 11/23/2022

Self-Supervised Learning based on Heat Equation

This paper presents a new perspective of self-supervised learning based ...

0 Yinpeng Chen, et al. ∙

research

∙ 11/22/2022

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

We present SinDiffusion, leveraging denoising diffusion models to captur...

0 Weilun Wang, et al. ∙

research

∙ 09/16/2022

PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition

Notwithstanding the prominent performance achieved in various applicatio...

7 Qidong Huang, et al. ∙

research

∙ 09/15/2022

OmniVL:One Foundation Model for Image-Language and Video-Language Tasks

This paper presents OmniVL, a new foundation model to support both image...

27 Junke Wang, et al. ∙

research

∙ 09/05/2022

Imaging with Equivariant Deep Learning

From early image processing to modern computational imaging, successful ...

21 Dongdong Chen, et al. ∙

research

∙ 08/29/2022

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Diffusion models (DMs) have shown great potential for high-quality image...

15 Wan-Cyuan Fan, et al. ∙

research

∙ 08/25/2022

MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining

This paper presents a simple yet effective framework MaskCLIP, which inc...

18 Xiaoyi Dong, et al. ∙

research

∙ 07/14/2022

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...

21 Xiaoyi Dong, et al. ∙

research

∙ 07/07/2022

Should All Proposals be Treated Equally in Object Detection?

The complexity-precision trade-off of an object detector is a critical p...

9 Yunsheng Li, et al. ∙

research

∙ 06/30/2022

Semantic Image Synthesis via Diffusion Models

Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkabl...

6 Weilun Wang, et al. ∙

research

∙ 06/07/2022

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding

Leveraging large-scale data can introduce performance gains on many comp...

9 Lingchen Meng, et al. ∙

research

∙ 06/02/2022

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering

This paper revisits visual representation in knowledge-based visual ques...

5 Yuanze Lin, et al. ∙

research

∙ 05/10/2022

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

Transformers have achieved great success in pluralistic image inpainting...

10 Qiankun Liu, et al. ∙

research

∙ 05/03/2022

i-Code: An Integrative and Composable Multimodal Learning Framework

Human intelligence is multimodal; we integrate visual, linguistic, and a...

1 ZiYi Yang, et al. ∙

research

∙ 04/20/2022

Residual Mixture of Experts

Mixture of Experts (MoE) is able to scale up vision transformers effecti...

3 Lemeng Wu, et al. ∙

research

∙ 03/31/2022

Bringing Old Films Back to Life

We present a learning-based framework, recurrent transformer network (RT...

8 Ziyu Wan, et al. ∙

research

∙ 03/30/2022

Large-Scale Pre-training for Person Re-identification with Noisy Labels

This paper aims to address the problem of pre-training for person re-ide...

4 Dengpan Fu, et al. ∙

research

∙ 03/23/2022

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems

Solving a linear inverse problem requires knowledge about the underlying...

9 Julián Tachella, et al. ∙

research

∙ 03/08/2022

Shape-invariant 3D Adversarial Point Clouds

Adversary and invisibility are two fundamental but conflict characters o...

13 Qidong Huang, et al. ∙

research

∙ 03/02/2022

Protecting Celebrities with Identity Consistency Transformer

In this work we propose Identity Consistency Transformer, a novel face f...

9 Xiaoyi Dong, et al. ∙

research

∙ 03/02/2022

Self-supervised Transformer for Deepfake Detection

The fast evolution and widespread of deepfake techniques in real-world s...

25 Hanqing Zhao, et al. ∙

research

∙ 01/28/2022

Sampling Theorems for Learning from Incomplete Measurements

In many real-world settings, only incomplete measurement data are availa...

23 Julián Tachella, et al. ∙

research

∙ 01/04/2022

Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation

Occlusion between different objects is a typical challenge in Multi-Obje...

17 Qiankun Liu, et al. ∙

research

∙ 12/15/2021

3D Question Answering

Visual Question Answering (VQA) has witnessed tremendous progress in rec...

10 Shuquan Ye, et al. ∙

research

∙ 12/09/2021

HairCLIP: Design Your Hair by Text and Reference Image

Hair editing is an interesting and challenging problem in computer visio...

5 Tianyi Wei, et al. ∙

research

∙ 12/09/2021

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...

4 Can Wang, et al. ∙

research

∙ 12/06/2021

General Facial Representation Learning in a Visual-Linguistic Manner

How to learn a universal facial representation that boosts all face anal...

7 Yinglin Zheng, et al. ∙

Dongdong Chen

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