b'Chun Yuan'

research

∙ 07/29/2023

Effective Whole-body Pose Estimation with Two-stages Distillation

Whole-body pose estimation localizes the human body, hand, face, and foo...

0 Zhendong Yang, et al. ∙

research

∙ 06/29/2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

This paper introduces DreamDiffusion, a novel method for generating high...

0 Yunpeng Bai, et al. ∙

research

∙ 06/17/2023

MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images

We address the problem of photorealistic 3D face avatar synthesis from s...

0 Weichen Zhang, et al. ∙

research

∙ 05/28/2023

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

Data-free meta-learning (DFML) aims to enable efficient learning of new ...

0 Zixuan Hu, et al. ∙

research

∙ 05/28/2023

Neural Machine Translation with Dynamic Graph Convolutional Decoder

Existing wisdom demonstrates the significance of syntactic knowledge for...

0 Lei Li, et al. ∙

research

∙ 05/27/2023

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers

Vision-language models have achieved tremendous progress far beyond what...

0 Dachuan Shi, et al. ∙

research

∙ 05/16/2023

Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation

It has been commonly observed that a teacher model with superior perform...

2 Yuxin Ren, et al. ∙

research

∙ 05/05/2023

Towards Effective Collaborative Learning in Long-Tailed Recognition

Real-world data usually suffers from severe class imbalance and long-tai...

0 Zhengzhuo Xu, et al. ∙

research

∙ 03/22/2023

Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding

3D GAN inversion aims to achieve high reconstruction fidelity and reason...

0 Ziyang Yuan, et al. ∙

research

∙ 03/20/2023

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning

The goal of data-free meta-learning is to learn useful prior knowledge f...

0 Zixuan Hu, et al. ∙

research

∙ 03/20/2023

HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting

We present a simple yet effective method for skeleton-free motion retarg...

0 Haoyu Wang, et al. ∙

research

∙ 02/28/2023

TextIR: A Simple Framework for Text-based Editable Image Restoration

Most existing image restoration methods use neural networks to learn str...

0 Yunpeng Bai, et al. ∙

research

∙ 02/28/2023

Rethink Long-tailed Recognition with Vision Transforms

In the real world, data tends to follow long-tailed distributions w.r.t....

0 Zhengzhuo Xu, et al. ∙

research

∙ 01/31/2023

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

Real-world data contains a vast amount of multimodal information, among ...

0 Dachuan Shi, et al. ∙

research

∙ 01/26/2023

ITstyler: Image-optimized Text-based Style Transfer

Text-based style transfer is a newly-emerging research topic that uses t...

0 Yunpeng Bai, et al. ∙

research

∙ 01/25/2023

Towards Arbitrary Text-driven Image Manipulation via Space Alignment

The recent GAN inversion methods have been able to successfully invert t...

0 Yunpeng Bai, 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

∙ 12/05/2022

Learning Imbalanced Data with Vision Transformers

The real-world data tends to be heavily imbalanced and severely skew the...

0 Zhengzhuo Xu, 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...

0 Yunpeng Bai, et al. ∙

research

∙ 11/17/2022

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Despite the remarkable success of foundation models, their task-specific...

30 Hao Li, et al. ∙

research

∙ 10/13/2022

Darwinian Model Upgrades: Model Evolving with Selective Compatibility

The traditional model upgrading paradigm for retrieval requires recomput...

12 Binjie Zhang, et al. ∙

research

∙ 10/11/2022

Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration

Instance-dependent label noise is realistic but rather challenging, wher...

0 Manyi Zhang, et al. ∙

research

∙ 10/09/2022

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

Rendering high-resolution (HR) graphics brings substantial computational...

11 Jinjin Gu, et al. ∙

research

∙ 09/28/2022

DeViT: Deformed Vision Transformers in Video Inpainting

This paper proposes a novel video inpainting method. We make three main ...

13 Jiayin Cai, et al. ∙

research

∙ 09/27/2022

DCE: Offline Reinforcement Learning With Double Conservative Estimates

Offline Reinforcement Learning has attracted much interest in solving th...

5 Chen Zhao, et al. ∙

research

∙ 08/22/2022

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization

Matching-based methods, especially those based on space-time memory, are...

6 Zhihui Lin, 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

∙ 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

∙ 04/29/2022

Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval

The task of privacy-preserving model upgrades in image retrieval desires...

5 Shupeng Su, et al. ∙

research

∙ 03/18/2022

REALY: Rethinking the Evaluation of 3D Face Reconstruction

The evaluation of 3D face reconstruction results typically relies on a r...

0 Zenghao Chai, et al. ∙

research

∙ 03/03/2022

Towards Universal Backward-Compatible Representation Learning

Conventional model upgrades for visual search systems require offline re...

6 Binjie Zhang, et al. ∙

research

∙ 01/24/2022

Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval

The task of hot-refresh model upgrades of image retrieval systems plays ...

3 Binjie Zhang, et al. ∙

research

∙ 12/04/2021

HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval

Deep hashing has shown promising performance in large-scale image retrie...

17 Chengyin Xu, et al. ∙

research

∙ 12/02/2021

Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization

Exemplar-based colorization approaches rely on reference image to provid...

0 Yunpeng Bai, et al. ∙

research

∙ 11/23/2021

StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks

Scene text detection is still a challenging task, as there may be extrem...

4 Lei Li, et al. ∙

research

∙ 11/06/2021

Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective

Real-world data universally confronts a severe class-imbalance problem a...

13 Zhengzhuo Xu, et al. ∙

research

∙ 10/25/2021

MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning

Spatiotemporal predictive learning (ST-PL) aims at predicting the subseq...

0 Zenghao Chai, et al. ∙

research

∙ 07/19/2021

Deep Open Snake Tracker for Vessel Tracing

Vessel tracing by modeling vascular structures in 3D medical images with...

0 Li Chen, et al. ∙

research

∙ 02/06/2021

CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction

Extracting variation and spatiotemporal features via limited frames rema...

0 Zenghao Chai, et al. ∙

research

∙ 12/02/2020

A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs

Deep neural networks are often not robust to semantically-irrelevant cha...

3 Nikhil Kapoor, et al. ∙

research

∙ 11/02/2020

Reducing the Annotation Effort for Video Object Segmentation Datasets

For further progress in video object segmentation (VOS), larger, more di...

0 Paul Voigtlaender, et al. ∙

research

∙ 09/23/2020

A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention

The task of language-guided video temporal grounding is to localize the ...

1 Binjie Zhang, et al. ∙

research

∙ 08/12/2020

HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation

Scene graph generation aims to produce structured representations for im...

15 Meng Wei, et al. ∙

research

∙ 03/10/2020

Using an ensemble color space model to tackle adversarial examples

Minute pixel changes in an image drastically change the prediction that ...

0 Shreyank N Gowda, et al. ∙

research

∙ 02/06/2020

StegColNet: Steganalysis based on an ensemble colorspace approach

Image steganography refers to the process of hiding information inside i...

0 Shreyank N Gowda, et al. ∙

research

∙ 08/12/2019

Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer

Existing person video generation methods either lack the flexibility in ...

0 Kun Cheng, et al. ∙

research

∙ 03/11/2019

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Many types of 3D acquisition sensors have emerged in recent years and po...

4 Xiaoshui Huang, et al. ∙

research

∙ 02/01/2019

ColorNet: Investigating the importance of color spaces for image classification

Image classification is a fundamental application in computer vision. Re...

0 Shreyank N Gowda, et al. ∙

research

∙ 10/13/2018

Efficient Multi-level Correlating for Visual Tracking

Correlation filter (CF) based tracking algorithms have demonstrated favo...

0 Yipeng Ma, et al. ∙

research

∙ 10/12/2018

FPGA-based Acceleration System for Visual Tracking

Visual tracking is one of the most important application areas of comput...

0 Ke Song, et al. ∙

Chun Yuan

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