b'Alan Yuille'

research

∙ 08/19/2023

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation

Regression-based methods for 3D human pose estimation directly predict t...

0 Yi Zhang, et al. ∙

research

∙ 08/06/2023

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis

Early detection and localization of pancreatic cancer can increase the 5...

0 Bowen Li, et al. ∙

research

∙ 06/13/2023

Adding 3D Geometry Control to Diffusion Models

Diffusion models have emerged as a powerful method of generative modelin...

0 Wufei Ma, et al. ∙

research

∙ 06/12/2023

Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation

In this work, we present a robust approach for joint part and object seg...

0 Ju He, et al. ∙

research

∙ 06/01/2023

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

The ability to dynamically extend a model to new data and classes is cri...

0 Yixiao Zhang, et al. ∙

research

∙ 06/01/2023

Intriguing Properties of Text-guided Diffusion Models

Text-guided diffusion models (TDMs) are widely applied but can fail unex...

0 Qihao Liu, et al. ∙

research

∙ 05/31/2023

Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis

Human vision demonstrates higher robustness than current AI algorithms u...

0 Angtian Wang, et al. ∙

research

∙ 05/25/2023

Robust Category-Level 3D Pose Estimation from Synthetic Data

Obtaining accurate 3D object poses is vital for numerous computer vision...

0 Jiahao Yang, et al. ∙

research

∙ 05/24/2023

Robust 3D-aware Object Classification via Discriminative Render-and-Compare

In real-world applications, it is essential to jointly estimate the 3D o...

0 Artur Jesslen, et al. ∙

research

∙ 05/16/2023

Annotating 8,000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks

Annotating medical images, particularly for organ segmentation, is labor...

0 Chongyu Qu, et al. ∙

research

∙ 04/17/2023

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

Enhancing the robustness of vision algorithms in real-world scenarios is...

0 Bingchen Zhao, et al. ∙

research

∙ 04/06/2023

Diffusion Models as Masked Autoencoders

There has been a longstanding belief that generation can facilitate a tr...

0 Chen Wei, et al. ∙

research

∙ 03/27/2023

Label-Free Liver Tumor Segmentation

We demonstrate that AI models can accurately segment liver tumors withou...

0 Qixin Hu, et al. ∙

research

∙ 03/14/2023

InstMove: Instance Motion for Object-centric Video Segmentation

Despite significant efforts, cutting-edge video segmentation methods sti...

0 Qihao Liu, et al. ∙

research

∙ 03/13/2023

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation

Human pose and shape (HPS) estimation methods achieve remarkable results...

0 Qihao Liu, et al. ∙

research

∙ 01/28/2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Human readers or radiologists routinely perform full-body multi-organ mu...

0 Jieneng Chen, et al. ∙

research

∙ 01/02/2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

An increasing number of public datasets have shown a marked clinical imp...

0 Jie Liu, et al. ∙

research

∙ 01/02/2023

Learning Road Scene-level Representations via Semantic Region Prediction

In this work, we tackle two vital tasks in automated driving systems, i....

0 Zihao Xiao, et al. ∙

research

∙ 12/20/2022

Unleashing the Power of Visual Prompting At the Pixel Level

This paper presents a simple and effective visual prompting method for a...

0 Junyang Wu, et al. ∙

research

∙ 12/07/2022

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation

The weakly supervised instance segmentation is a challenging task. The e...

7 Siwei Yang, et al. ∙

research

∙ 12/01/2022

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?

Despite the superior performance brought by vision-and-language pretrain...

0 Zhuowan Li, et al. ∙

research

∙ 12/01/2022

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning

Visual Question Answering (VQA) models often perform poorly on out-of-di...

0 Zhuowan Li, et al. ∙

research

∙ 11/29/2022

LUMix: Improving Mixup by Better Modelling Label Uncertainty

Modern deep networks can be better generalized when trained with noisy s...

0 Shuyang Sun, et al. ∙

research

∙ 11/21/2022

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training

Video-language pre-training is crucial for learning powerful multi-modal...

0 Yuanze Lin, et al. ∙

research

∙ 10/26/2022

Synthetic Tumors Make AI Segment Tumors Better

We develop a novel strategy to generate synthetic tumors. Unlike existin...

0 Qixin Hu, et al. ∙

research

∙ 10/23/2022

1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track

This report describes the winning solution to the semantic segmentation ...

20 Junfei Xiao, et al. ∙

research

∙ 10/23/2022

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification

Vision Transformer (ViT) has become one of the most popular neural archi...

0 Junfei Xiao, et al. ∙

research

∙ 10/21/2022

Context-Enhanced Stereo Transformer

Stereo depth estimation is of great interest for computer vision researc...

20 Weiyu Guo, et al. ∙

research

∙ 10/04/2022

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

This paper presents MOAT, a family of neural networks that build on top ...

4 Chenglin Yang, et al. ∙

research

∙ 09/12/2022

Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features

We consider the problem of category-level 6D pose estimation from a sing...

6 Wufei Ma, et al. ∙

research

∙ 08/25/2022

Masked Autoencoders Enable Efficient Knowledge Distillers

This paper studies the potential of distilling knowledge from pre-traine...

55 Yutong Bai, et al. ∙

research

∙ 07/29/2022

Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation

Occlusion poses a great threat to monocular multi-person 3D human pose e...

0 Qihao Liu, et al. ∙

research

∙ 07/21/2022

In Defense of Online Models for Video Instance Segmentation

In recent years, video instance segmentation (VIS) has been largely adva...

1 Junfeng Wu, et al. ∙

research

∙ 07/08/2022

k-means Mask Transformer

The rise of transformers in vision tasks not only advances network backb...

15 Qihang Yu, et al. ∙

research

∙ 07/06/2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Shape information is a strong and valuable prior in segmenting organs in...

30 Yuan Yao, et al. ∙

research

∙ 06/17/2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation

We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-base...

0 Qihang Yu, et al. ∙

research

∙ 06/15/2022

A Simple Data Mixing Prior for Improving Self-Supervised Learning

Data mixing (e.g., Mixup, Cutmix, ResizeMix) is an essential component f...

19 Sucheng Ren, et al. ∙

research

∙ 05/30/2022

VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis

Differentiable rendering allows the application of computer graphics on ...

4 Angtian Wang, et al. ∙

research

∙ 05/03/2022

In Defense of Image Pre-Training for Spatiotemporal Recognition

Image pre-training, the current de-facto paradigm for a wide range of vi...

6 Xianhang Li, et al. ∙

research

∙ 04/21/2022

Fast AdvProp

Adversarial Propagation (AdvProp) is an effective way to improve recogni...

3 Jieru Mei, et al. ∙

research

∙ 04/05/2022

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering

While Visual Question Answering (VQA) has progressed rapidly, previous w...

11 Vipul Gupta, et al. ∙

research

∙ 03/22/2022

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

Recent advances in self-supervised contrastive learning yield good image...

0 Feng Wang, et al. ∙

research

∙ 02/09/2022

Point-Level Region Contrast for Object Detection Pre-Training

In this work we present point-level region contrast, a self-supervised p...

7 Yutong Bai, et al. ∙

research

∙ 12/20/2021

Lite Vision Transformer with Enhanced Self-Attention

Despite the impressive representation capacity of vision transformer mod...

0 Chenglin Yang, et al. ∙

research

∙ 12/16/2021

Masked Feature Prediction for Self-Supervised Visual Pre-Training

We present Masked Feature Prediction (MaskFeat) for self-supervised pre-...

37 Chen Wei, et al. ∙

research

∙ 12/03/2021

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification

Recent advances in automated skin cancer diagnosis have yielded performa...

0 Jingye Chen, et al. ∙

research

∙ 12/02/2021

PartImageNet: A Large, High-Quality Dataset of Parts

A part-based object understanding facilitates efficient compositional le...

18 Ju He, et al. ∙

research

∙ 11/29/2021

ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts

Enhancing the robustness in real-world scenarios has been proven very ch...

4 Bingchen Zhao, et al. ∙

research

∙ 11/25/2021

Learning from Temporal Gradient for Semi-supervised Action Recognition

Semi-supervised video action recognition tends to enable deep neural net...

5 Junfei Xiao, et al. ∙

research

∙ 11/18/2021

TransMix: Attend to Mix for Vision Transformers

Mixup-based augmentation has been found to be effective for generalizing...

0 Jie-Neng Chen, et al. ∙

Alan Yuille

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