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08/28/2023
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction
Segment Anything Model (SAM) has received remarkable attention as it off...
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08/07/2023
Dual Aggregation Transformer for Image Super-Resolution
Transformer has recently gained considerable popularity in low-level vis...
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06/06/2023
Vid2Act: Activate Offline Videos for Visual RL
Pretraining RL models on offline video datasets is a promising way to im...
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05/31/2023
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Reconstructing deformable tissues from endoscopic stereo videos in robot...
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05/24/2023
Collaborative World Models: An Online-Offline Transfer RL Approach
Training visual reinforcement learning (RL) models in offline datasets i...
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04/30/2023
Object-Centric Voxelization of Dynamic Scenes via Inverse Neural Rendering
Understanding the compositional dynamics of the world in unsupervised 3D...
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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...
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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...
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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 ...
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03/28/2023
Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation
Head generation with diverse identities is an important task in computer...
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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...
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03/27/2023
Model-Based Reinforcement Learning with Isolated Imaginations
World models learn the consequences of actions in vision-based interacti...
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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...
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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...
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03/12/2023
Improving Masked Autoencoders by Learning Where to Mask
Masked image modeling is a promising self-supervised learning method for...
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03/12/2023
Predictive Experience Replay for Continual Visual Control and Forecasting
Learning physical dynamics in a series of non-stationary environments is...
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03/11/2023
Xformer: Hybrid X-Shaped Transformer for Image Denoising
In this paper, we present a hybrid X-shaped vision Transformer, named Xf...
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03/11/2023
Recursive Generalization Transformer for Image Super-Resolution
Transformer architectures have exhibited remarkable performance in image...
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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 ...
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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 ...
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10/13/2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Deep learning models have shown their vulnerability when dealing with ad...
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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...
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07/06/2022
Perceptual Quality Assessment of Omnidirectional Images
Omnidirectional images and videos can provide immersive experience of re...
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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...
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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...
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04/28/2022
DOTIN: Dropping Task-Irrelevant Nodes for GNNs
Scalability is an important consideration for deep graph neural networks...
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04/12/2022
Continual Predictive Learning from Videos
Predictive learning ideally builds the world model of physical processes...
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04/11/2022
Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
With the development of multimedia technology, Augmented Reality (AR) ha...
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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...
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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...
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03/29/2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Various facial manipulation techniques have drawn serious public concern...
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03/21/2022
EAutoDet: Efficient Architecture Search for Object Detection
Training CNN for detection is time-consuming due to the large dataset an...
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03/15/2022
DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation
Conversation is an essential component of virtual avatar activities in t...
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03/03/2022
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Deep learning has shown great potential for modeling the physical dynami...
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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...
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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...
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12/28/2021
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization
Combinatorial optimization (CO) is a long-standing challenging task not ...
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12/08/2021
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
Restoring reasonable and realistic content for arbitrary missing regions...
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11/29/2021
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
Domain generalizable person re-identification aims to apply a trained mo...
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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 ...
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10/10/2021
ZARTS: On Zero-order Optimization for Neural Architecture Search
Differentiable architecture search (DARTS) has been a popular one-shot p...
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09/30/2021
DAAS: Differentiable Architecture and Augmentation Policy Search
Neural architecture search (NAS) has been an active direction of automat...
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09/01/2021
Efficient Person Search: An Anchor-Free Approach
Person search aims to simultaneously localize and identify a query perso...
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08/28/2021
Learning to Track Objects from Unlabeled Videos
In this paper, we propose to learn an Unsupervised Single Object Tracker...
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07/28/2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
The computational vision community has recently paid attention to contin...
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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...
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07/10/2021
Local-to-Global Self-Attention in Vision Transformers
Transformers have demonstrated great potential in computer vision tasks....
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06/19/2021
Exploring Visual Context for Weakly Supervised Person Search
Person search has recently emerged as a challenging task that jointly ad...
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06/14/2021
Context-Aware Image Inpainting with Learned Semantic Priors
Recent advances in image inpainting have shown impressive results for ge...
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06/09/2021