b'Kai Han'

research

∙ 08/24/2023

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings

Semantic segmentation is a computer vision task that associates a label ...

0 Yuhe Liu, et al. ∙

research

∙ 08/21/2023

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

Submodular maximization has found extensive applications in various doma...

0 Shuang Cui, et al. ∙

research

∙ 08/18/2023

Guide3D: Create 3D Avatars from Text and Image Guidance

Recently, text-to-image generation has exhibited remarkable advancements...

0 Yukang Cao, et al. ∙

research

∙ 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...

0 Kai Han, et al. ∙

research

∙ 06/05/2023

HeadSculpt: Crafting 3D Head Avatars with Text

Recently, text-guided 3D generative methods have made remarkable advance...

0 Xiao Han, et al. ∙

research

∙ 06/01/2023

ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation

Personalized text-to-image generation using diffusion models has recentl...

0 Shaozhe Hao, et al. ∙

research

∙ 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...

0 Ning Ding, et al. ∙

research

∙ 05/30/2023

GPT4GEO: How a Language Model Sees the World's Geography

Large language models (LLMs) have shown remarkable capabilities across a...

0 Jonathan Roberts, et al. ∙

research

∙ 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...

0 Zhiwei Hao, et al. ∙

research

∙ 05/03/2023

SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning

We propose SimSC, a remarkably simple framework, to address the problem ...

6 Xinghui Li, et al. ∙

research

∙ 04/23/2023

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models

Interpreting remote sensing imagery enables numerous downstream applicat...

0 Jonathan Roberts, et al. ∙

research

∙ 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...

0 Shaozhe Hao, et al. ∙

research

∙ 04/05/2023

What's in a Name? Beyond Class Indices for Image Recognition

Existing machine learning models demonstrate excellent performance in im...

0 Kai Han, et al. ∙

research

∙ 04/03/2023

Zero-Shot Semantic Segmentation with Decoupled One-Pass Network

Recently, the zero-shot semantic segmentation problem has attracted incr...

0 Cong Han, et al. ∙

research

∙ 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...

0 Yukang Cao, et al. ∙

research

∙ 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...

0 Yukang Cao, et al. ∙

research

∙ 03/27/2023

Learning Attention as Disentangler for Compositional Zero-shot Learning

Compositional zero-shot learning (CZSL) aims at learning visual concepts...

0 Shaozhe Hao, et al. ∙

research

∙ 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 ...

0 Wenkang Shan, et al. ∙

research

∙ 03/09/2023

Masked Image Modeling with Local Multi-Scale Reconstruction

Masked Image Modeling (MIM) achieves outstanding success in self-supervi...

0 Haoqing Wang, et al. ∙

research

∙ 12/20/2022

Redistribution of Weights and Activations for AdderNet Quantization

Adder Neural Network (AdderNet) provides a new way for developing energy...

0 Ying Nie, et al. ∙

research

∙ 12/13/2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision

The combination of transformers and masked image modeling (MIM) pre-trai...

0 Jianyuan Guo, et al. ∙

research

∙ 11/23/2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

Light-weight convolutional neural networks (CNNs) are specially designed...

0 Yehui Tang, et al. ∙

research

∙ 07/21/2022

Novel Class Discovery without Forgetting

Humans possess an innate ability to identify and differentiate instances...

5 K J Joseph, et al. ∙

research

∙ 06/01/2022

Vision GNN: An Image is Worth Graph of Nodes

Network architecture plays a key role in the deep learning-based compute...

0 Kai Han, et al. ∙

research

∙ 04/22/2022

Spacing Loss for Discovering Novel Categories

Novel Class Discovery (NCD) is a learning paradigm, where a machine lear...

11 K J Joseph, et al. ∙

research

∙ 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....

0 Yukang Cao, et al. ∙

research

∙ 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...

0 Chenming Zhu, et al. ∙

research

∙ 01/10/2022

GhostNets on Heterogeneous Devices via Cheap Operations

Deploying convolutional neural networks (CNNs) on mobile devices is diff...

2 Kai Han, et al. ∙

research

∙ 01/07/2022

Generalized Category Discovery

In this paper, we consider a highly general image recognition setting wh...

17 Sagar Vaze, et al. ∙

research

∙ 01/04/2022

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture

Transformer networks have achieved great progress for computer vision ta...

0 Kai Han, et al. ∙

research

∙ 11/24/2021

An Image Patch is a Wave: Phase-Aware Vision MLP

Different from traditional convolutional neural network (CNN) and vision...

0 Yehui Tang, et al. ∙

research

∙ 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...

2 Sagar Vaze, et al. ∙

research

∙ 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...

5 Kongming Liang, et al. ∙

research

∙ 09/20/2021

Learning Versatile Convolution Filters for Efficient Visual Recognition

This paper introduces versatile filters to construct efficient convoluti...

0 Kai Han, et al. ∙

research

∙ 08/30/2021

Hire-MLP: Vision MLP via Hierarchical Rearrangement

This paper presents Hire-MLP, a simple yet competitive vision MLP archit...

0 Jianyuan Guo, et al. ∙

research

∙ 07/31/2021

Greedy Network Enlarging

Recent studies on deep convolutional neural networks present a simple pa...

10 Chuanjian Liu, et al. ∙

research

∙ 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...

6 Jie Li, et al. ∙

research

∙ 07/13/2021

CMT: Convolutional Neural Networks Meet Vision Transformers

Vision transformers have been successfully applied to image recognition ...

0 Jianyuan Guo, et al. ∙

research

∙ 07/11/2021

Efficient and Effective Algorithms for Revenue Maximization in Social Advertising

We consider the revenue maximization problem in social advertising, wher...

0 Kai Han, et al. ∙

research

∙ 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,...

0 Bingchen Zhao, et al. ∙

research

∙ 07/03/2021

Efficient Vision Transformers via Fine-Grained Manifold Distillation

This paper studies the model compression problem of vision transformers....

0 Ding Jia, et al. ∙

research

∙ 06/30/2021

Augmented Shortcuts for Vision Transformers

Transformer models have achieved great progress on computer vision tasks...

0 Yehui Tang, et al. ∙

research

∙ 06/29/2021

AutoNovel: Automatically Discovering and Learning Novel Visual Categories

We tackle the problem of discovering novel classes in an image collectio...

1 Kai Han, et al. ∙

research

∙ 06/27/2021

Post-Training Quantization for Vision Transformer

Recently, transformer has achieved remarkable performance on a variety o...

0 Zhenhua Liu, et al. ∙

research

∙ 06/14/2021

The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization

Submodular optimization has numerous applications such as crowdsourcing ...

0 Kai Han, et al. ∙

research

∙ 06/05/2021

Dynamic Resolution Network

Deep convolutional neural networks (CNNs) are often of sophisticated des...

0 Mingjian Zhu, et al. ∙

research

∙ 06/05/2021

Patch Slimming for Efficient Vision Transformers

This paper studies the efficiency problem for visual transformers by exc...

0 Yehui Tang, et al. ∙

research

∙ 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 ...

0 Kai Han, et al. ∙

research

∙ 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...

0 Xuhui Jia, et al. ∙

research

∙ 04/17/2021

Visual Transformer Pruning

Visual transformer has achieved competitive performance on a variety of ...

0 Mingjian Zhu, et al. ∙

Kai Han

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