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...
share
research
∙
06/29/2023
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
This paper introduces DreamDiffusion, a novel method for generating high...
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...
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 ...
research
∙
05/28/2023
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Existing wisdom demonstrates the significance of syntactic knowledge for...
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...
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...
research
∙
05/05/2023
Towards Effective Collaborative Learning in Long-Tailed Recognition
Real-world data usually suffers from severe class imbalance and long-tai...
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...
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...
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...
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...
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....
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 ...
research
∙
01/26/2023
ITstyler: Image-optimized Text-based Style Transfer
Text-based style transfer is a newly-emerging research topic that uses t...
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...
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...
research
∙
12/05/2022
Learning Imbalanced Data with Vision Transformers
The real-world data tends to be heavily imbalanced and severely skew the...
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...
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...
research
∙
10/13/2022
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
The traditional model upgrading paradigm for retrieval requires recomput...
research
∙
10/11/2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Instance-dependent label noise is realistic but rather challenging, wher...
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...
research
∙
09/28/2022
DeViT: Deformed Vision Transformers in Video Inpainting
This paper proposes a novel video inpainting method. We make three main ...
research
∙
09/27/2022
DCE: Offline Reinforcement Learning With Double Conservative Estimates
Offline Reinforcement Learning has attracted much interest in solving th...
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...
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...
research
∙
05/24/2022
Improving the Latent Space of Image Style Transfer
Existing neural style transfer researches have studied to match statisti...
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...
research
∙
03/18/2022
REALY: Rethinking the Evaluation of 3D Face Reconstruction
The evaluation of 3D face reconstruction results typically relies on a r...
research
∙
03/03/2022
Towards Universal Backward-Compatible Representation Learning
Conventional model upgrades for visual search systems require offline re...
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 ...
research
∙
12/04/2021
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
Deep hashing has shown promising performance in large-scale image retrie...
research
∙
12/02/2021
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
Exemplar-based colorization approaches rely on reference image to provid...
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...
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...
research
∙
10/25/2021
MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
Spatiotemporal predictive learning (ST-PL) aims at predicting the subseq...
research
∙
07/19/2021
Deep Open Snake Tracker for Vessel Tracing
Vessel tracing by modeling vascular structures in 3D medical images with...
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...
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...
research
∙
11/02/2020
Reducing the Annotation Effort for Video Object Segmentation Datasets
For further progress in video object segmentation (VOS), larger, more di...
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 ...
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...
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 ...
research
∙
02/06/2020
StegColNet: Steganalysis based on an ensemble colorspace approach
Image steganography refers to the process of hiding information inside i...
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 ...
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...
research
∙
02/01/2019
ColorNet: Investigating the importance of color spaces for image classification
Image classification is a fundamental application in computer vision. Re...
research
∙
10/13/2018
Efficient Multi-level Correlating for Visual Tracking
Correlation filter (CF) based tracking algorithms have demonstrated favo...
research
∙
10/12/2018