b'Xiaokang Yang'

research

∙ 06/06/2023

Vid2Act: Activate Offline Videos for Visual RL

Pretraining RL models on offline video datasets is a promising way to im...

0 Minting Pan, et al. ∙

research

∙ 05/31/2023

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Reconstructing deformable tissues from endoscopic stereo videos in robot...

0 Chen Yang, et al. ∙

research

∙ 05/24/2023

Collaborative World Models: An Online-Offline Transfer RL Approach

Training visual reinforcement learning (RL) models in offline datasets i...

0 Qi Wang, et al. ∙

research

∙ 04/30/2023

Object-Centric Voxelization of Dynamic Scenes via Inverse Neural Rendering

Understanding the compositional dynamics of the world in unsupervised 3D...

0 Siyu Gao, et al. ∙

research

∙ 04/13/2023

NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds

We present NeRFVS, a novel neural radiance fields (NeRF) based method to...

0 Chen Yang, et al. ∙

research

∙ 04/06/2023

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

We present FengWu, an advanced data-driven global medium-range weather f...

0 Kang Chen, et al. ∙

research

∙ 04/05/2023

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images

Computer-assisted automatic analysis of diabetic retinopathy (DR) is of ...

5 Bo Qian, et al. ∙

research

∙ 03/28/2023

Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation

Head generation with diverse identities is an important task in computer...

0 Yuhao Cheng, et al. ∙

research

∙ 03/27/2023

Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

We aim at advancing blind image quality assessment (BIQA), which predict...

0 Weixia Zhang, et al. ∙

research

∙ 03/27/2023

Model-Based Reinforcement Learning with Isolated Imaginations

World models learn the consequences of actions in vision-based interacti...

0 Minting Pan, et al. ∙

research

∙ 03/25/2023

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

Given the large-scale data and the high annotation cost, pretraining-fin...

0 Yichen Xie, et al. ∙

research

∙ 03/22/2023

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning

Dynamic graphs arise in various real-world applications, and it is often...

0 Chao Chen, et al. ∙

research

∙ 03/12/2023

Improving Masked Autoencoders by Learning Where to Mask

Masked image modeling is a promising self-supervised learning method for...

0 Haijian Chen, et al. ∙

research

∙ 03/12/2023

Predictive Experience Replay for Continual Visual Control and Forecasting

Learning physical dynamics in a series of non-stationary environments is...

0 Wendong Zhang, et al. ∙

research

∙ 03/11/2023

Xformer: Hybrid X-Shaped Transformer for Image Denoising

In this paper, we present a hybrid X-shaped vision Transformer, named Xf...

0 Jiale Zhang, et al. ∙

research

∙ 03/11/2023

Recursive Generalization Transformer for Image Super-Resolution

Transformer architectures have exhibited remarkable performance in image...

0 Zheng Chen, et al. ∙

research

∙ 02/08/2023

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution

Inductive one-bit matrix completion is motivated by modern applications ...

0 Chao Chen, et al. ∙

research

∙ 12/06/2022

A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting

Multivariate time series forecasting (MTSF) is a fundamental problem in ...

0 Zanwei Zhou, et al. ∙

research

∙ 10/13/2022

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

Deep learning models have shown their vulnerability when dealing with ad...

0 Shuai Jia, et al. ∙

research

∙ 10/03/2022

Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop

No-reference image quality assessment (NR-IQA) aims to quantify how huma...

0 Weixia Zhang, et al. ∙

research

∙ 07/06/2022

Perceptual Quality Assessment of Omnidirectional Images

Omnidirectional images and videos can provide immersive experience of re...

0 Huiyu Duan, et al. ∙

research

∙ 07/04/2022

A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

The rapid development of deep learning has made a great progress in segm...

10 Wei Shen, et al. ∙

research

∙ 05/27/2022

Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models

World models learn the consequences of actions in vision-based interacti...

0 Minting Pan, et al. ∙

research

∙ 04/28/2022

DOTIN: Dropping Task-Irrelevant Nodes for GNNs

Scalability is an important consideration for deep graph neural networks...

0 Shaofeng Zhang, et al. ∙

research

∙ 04/12/2022

Continual Predictive Learning from Videos

Predictive learning ideally builds the world model of physical processes...

0 Geng Chen, et al. ∙

research

∙ 04/11/2022

Confusing Image Quality Assessment: Towards Better Augmented Reality Experience

With the development of multimedia technology, Augmented Reality (AR) ha...

0 Huiyu Duan, et al. ∙

research

∙ 04/02/2022

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

Capturing the dynamics in user preference is crucial to better predict u...

5 Chao Chen, et al. ∙

research

∙ 03/30/2022

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation

User interests are usually dynamic in the real world, which poses both t...

0 Chao Chen, et al. ∙

research

∙ 03/29/2022

Exploring Frequency Adversarial Attacks for Face Forgery Detection

Various facial manipulation techniques have drawn serious public concern...

0 Shuai Jia, et al. ∙

research

∙ 03/21/2022

EAutoDet: Efficient Architecture Search for Object Detection

Training CNN for detection is time-consuming due to the large dataset an...

0 Xiaoxing Wang, et al. ∙

research

∙ 03/15/2022

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation

Conversation is an essential component of virtual avatar activities in t...

10 Zanwei Zhou, et al. ∙

research

∙ 03/03/2022

NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields

Deep learning has shown great potential for modeling the physical dynami...

0 Shanyan Guan, et al. ∙

research

∙ 02/28/2022

A GNSS Aided Initial Alignment Method for MEMS-IMU Based on Backtracking Algorithm and Backward Filtering

To obtain a high-accuracy position with SINS(Strapdown Inertial Navigati...

0 Xiaokang Yang, et al. ∙

research

∙ 01/03/2022

DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering

While recent advances in deep neural networks have made it possible to r...

7 Shunyu Yao, et al. ∙

research

∙ 12/28/2021

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization

Combinatorial optimization (CO) is a long-standing challenging task not ...

0 Han Lu, et al. ∙

research

∙ 12/08/2021

Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid

Restoring reasonable and realistic content for arbitrary missing regions...

3 Wendong Zhang, et al. ∙

research

∙ 11/29/2021

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification

Domain generalizable person re-identification aims to apply a trained mo...

0 Yichao Yan, et al. ∙

research

∙ 11/07/2021

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

We consider a new problem of adapting a human mesh reconstruction model ...

4 Shanyan Guan, et al. ∙

research

∙ 10/10/2021

ZARTS: On Zero-order Optimization for Neural Architecture Search

Differentiable architecture search (DARTS) has been a popular one-shot p...

0 Xiaoxing Wang, et al. ∙

research

∙ 09/30/2021

DAAS: Differentiable Architecture and Augmentation Policy Search

Neural architecture search (NAS) has been an active direction of automat...

0 Xiaoxing Wang, et al. ∙

research

∙ 09/01/2021

Efficient Person Search: An Anchor-Free Approach

Person search aims to simultaneously localize and identify a query perso...

11 Yichao Yan, et al. ∙

research

∙ 08/28/2021

Learning to Track Objects from Unlabeled Videos

In this paper, we propose to learn an Unsupervised Single Object Tracker...

0 Jilai Zheng, et al. ∙

research

∙ 07/28/2021

Task-Specific Normalization for Continual Learning of Blind Image Quality Models

The computational vision community has recently paid attention to contin...

0 Weixia Zhang, et al. ∙

research

∙ 07/27/2021

Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach

For people who ardently love painting but unfortunately have visual impa...

0 Hang Liu, et al. ∙

research

∙ 07/10/2021

Local-to-Global Self-Attention in Vision Transformers

Transformers have demonstrated great potential in computer vision tasks....

0 Jinpeng Li, et al. ∙

research

∙ 06/19/2021

Exploring Visual Context for Weakly Supervised Person Search

Person search has recently emerged as a challenging task that jointly ad...

0 Yichao Yan, et al. ∙

research

∙ 06/14/2021

Context-Aware Image Inpainting with Learned Semantic Priors

Recent advances in image inpainting have shown impressive results for ge...

0 Wendong Zhang, et al. ∙

research

∙ 06/09/2021

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs

Combinatorial Optimization (CO) has been a long-standing challenging res...

0 Runzhong Wang, et al. ∙

research

∙ 06/05/2021

Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning

In this paper, we propose a generic model transfer scheme to make Convlu...

0 Yilin Wang, et al. ∙

research

∙ 04/29/2021

Learning Multi-Attention Context Graph for Group-Based Re-Identification

Learning to re-identify or retrieve a group of people across non-overlap...

6 Yichao Yan, et al. ∙

Xiaokang Yang

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