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08/24/2023
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
Semantic segmentation is a computer vision task that associates a label ...
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08/21/2023
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Submodular maximization has found extensive applications in various doma...
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08/18/2023
Guide3D: Create 3D Avatars from Text and Image Guidance
Recently, text-to-image generation has exhibited remarkable advancements...
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06/26/2023
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
The large-scale visual pretraining has significantly improve the perform...
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06/05/2023
HeadSculpt: Crafting 3D Head Avatars with Text
Recently, text-guided 3D generative methods have made remarkable advance...
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06/01/2023
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
Personalized text-to-image generation using diffusion models has recentl...
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06/01/2023
Can Large Pre-trained Models Help Vision Models on Perception Tasks?
The recent upsurge in pre-trained large models (e.g. GPT-4) has swept ac...
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05/30/2023
GPT4GEO: How a Language Model Sees the World's Geography
Large language models (LLMs) have shown remarkable capabilities across a...
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05/25/2023
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale
The tremendous success of large models trained on extensive datasets dem...
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05/03/2023
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
We propose SimSC, a remarkably simple framework, to address the problem ...
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04/23/2023
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
Interpreting remote sensing imagery enables numerous downstream applicat...
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04/14/2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
We tackle the issue of generalized category discovery (GCD). GCD conside...
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04/05/2023
What's in a Name? Beyond Class Indices for Image Recognition
Existing machine learning models demonstrate excellent performance in im...
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04/03/2023
Zero-Shot Semantic Segmentation with Decoupled One-Pass Network
Recently, the zero-shot semantic segmentation problem has attracted incr...
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04/03/2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
We present DreamAvatar, a text-and-shape guided framework for generating...
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04/01/2023
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
We address the problem of clothed human reconstruction from a single ima...
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03/27/2023
Learning Attention as Disentangler for Compositional Zero-shot Learning
Compositional zero-shot learning (CZSL) aims at learning visual concepts...
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03/21/2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method ...
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03/09/2023
Masked Image Modeling with Local Multi-Scale Reconstruction
Masked Image Modeling (MIM) achieves outstanding success in self-supervi...
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12/20/2022
Redistribution of Weights and Activations for AdderNet Quantization
Adder Neural Network (AdderNet) provides a new way for developing energy...
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12/13/2022
FastMIM: Expediting Masked Image Modeling Pre-training for Vision
The combination of transformers and masked image modeling (MIM) pre-trai...
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11/23/2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention
Light-weight convolutional neural networks (CNNs) are specially designed...
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07/21/2022
Novel Class Discovery without Forgetting
Humans possess an innate ability to identify and differentiate instances...
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06/01/2022
Vision GNN: An Image is Worth Graph of Nodes
Network architecture plays a key role in the deep learning-based compute...
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04/22/2022
Spacing Loss for Discovering Novel Categories
Novel Class Discovery (NCD) is a learning paradigm, where a machine lear...
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04/22/2022
JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction
This paper addresses the problem of single view 3D human reconstruction....
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03/24/2022
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
Excellent performance has been achieved on instance segmentation but the...
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01/10/2022
GhostNets on Heterogeneous Devices via Cheap Operations
Deploying convolutional neural networks (CNNs) on mobile devices is diff...
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01/07/2022
Generalized Category Discovery
In this paper, we consider a highly general image recognition setting wh...
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01/04/2022
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture
Transformer networks have achieved great progress for computer vision ta...
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11/24/2021
An Image Patch is a Wave: Phase-Aware Vision MLP
Different from traditional convolutional neural network (CNN) and vision...
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10/12/2021
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
The ability to identify whether or not a test sample belongs to one of t...
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10/11/2021
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images
Quantitative estimation of the acute ischemic infarct is crucial to impr...
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09/20/2021
Learning Versatile Convolution Filters for Efficient Visual Recognition
This paper introduces versatile filters to construct efficient convoluti...
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08/30/2021
Hire-MLP: Vision MLP via Hierarchical Rearrangement
This paper presents Hire-MLP, a simple yet competitive vision MLP archit...
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07/31/2021
Greedy Network Enlarging
Recent studies on deep convolutional neural networks present a simple pa...
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07/27/2021
Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
The combination of a small unmanned ground vehicle (UGV) and a large unm...
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07/13/2021
CMT: Convolutional Neural Networks Meet Vision Transformers
Vision transformers have been successfully applied to image recognition ...
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07/11/2021
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising
We consider the revenue maximization problem in social advertising, wher...
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07/07/2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
In this paper, we tackle the problem of novel visual category discovery,...
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07/03/2021
Efficient Vision Transformers via Fine-Grained Manifold Distillation
This paper studies the model compression problem of vision transformers....
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06/30/2021
Augmented Shortcuts for Vision Transformers
Transformer models have achieved great progress on computer vision tasks...
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06/29/2021
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
We tackle the problem of discovering novel classes in an image collectio...
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06/27/2021
Post-Training Quantization for Vision Transformer
Recently, transformer has achieved remarkable performance on a variety o...
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06/14/2021
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization
Submodular optimization has numerous applications such as crowdsourcing ...
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06/05/2021
Dynamic Resolution Network
Deep convolutional neural networks (CNNs) are often of sophisticated des...
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06/05/2021
Patch Slimming for Efficient Vision Transformers
This paper studies the efficiency problem for visual transformers by exc...
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05/20/2021
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
This paper addresses the problem of reconstructing the surface shape of ...
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04/26/2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
This paper studies the problem of novel category discovery on single- an...
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04/17/2021
