Computer Vision and Pattern Recognition

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1,741 to 1,800 of 18,848

Photorealistic Image Synthesis for Object Instance Detection
Tomas Hodan, Vibhav Vineet, Ran Gal +6
cs.CVcs.AIcs.ROarXiv:1902.03334v12019
Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition
Peng Wang, Yuanzhouhan Cao, Chunhua Shen +2
cs.CVarXiv:1503.01224v22015
Controlling Vision-Language Models for Multi-Task Image Restoration
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2
cs.CVarXiv:2310.01018v22023
Active Learning for Deep Detection Neural Networks
Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer +1
cs.CVcs.LGarXiv:1911.09168v12019
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
Junlin Yang, Nicha C. Dvornek, Fan Zhang +3
eess.IVcs.CVarXiv:1907.13590v22019
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari +1
cs.CVarXiv:1511.04048v12015
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
Jay M. Wong, Vincent Kee, Tiffany Le +10
cs.ROcs.CVarXiv:1703.01661v22017
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Jianwen Xie, Zilong Zheng, Ruiqi Gao +3
cs.CVarXiv:1804.00586v12018
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama +1
physics.data-ancs.CVcs.LGarXiv:1902.07987v22019
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang, Qingcheng Liao, Le Ding +1
eess.IVcs.CVarXiv:2010.06163v22020
Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li, Mingzhe Hu, Xiaofeng Yang
eess.IVcs.CVarXiv:2305.00293v12023
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
cs.CVcs.LGarXiv:1702.01334v12017
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian, Yi Jiang, Qishuai Diao +3
cs.CVcs.AIcs.LGarXiv:2301.03580v22023
DF26: We Cannot Tell Fake From Real Anymore
Severyn Shykula, Andrii Yermakov, Ivan Samarskyi +3
cs.CVarXiv:2609.07369v12026
From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques
Bin Hou, Qingjie Liu, Heng Wang +1
cs.CVeess.IVarXiv:2003.06583v12020
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
cs.CVcs.LGcs.NEarXiv:1605.06465v12016
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies
Kehan Qi, Hao Yang, Cheng Li +4
eess.IVcs.CVarXiv:1907.07000v22019
Optimized U-Net for Brain Tumor Segmentation
Michał Futrega, Alexandre Milesi, Michal Marcinkiewicz +1
eess.IVcs.CVcs.LGarXiv:2110.03352v22021
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov, Michael Garland
cs.LGcs.CVcs.DCarXiv:1712.02029v22017
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
Kelly Payette, Priscille de Dumast, Hamza Kebiri +17
eess.IVcs.CVarXiv:2010.15526v42020
Detailed 2D-3D Joint Representation for Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Han Lu +4
cs.CVcs.LGarXiv:2004.08154v22020
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Matias Valdenegro-Toro, Daniel Saromo
cs.LGcs.CVarXiv:2204.09308v12022
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra, Ayush Tewari, Florian Bernard +4
cs.CVcs.GRcs.LGarXiv:2011.14143v12020
Multi-scale Attention Network for Single Image Super-Resolution
Yan Wang, Yusen Li, Gang Wang +1
eess.IVcs.CVarXiv:2209.14145v32022
Augmented LiDAR Simulator for Autonomous Driving
Jin Fang, Dingfu Zhou, Feilong Yan +5
cs.CVarXiv:1811.07112v22018
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
cs.CVcs.AIcs.LGarXiv:1812.02425v22018
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas, Ke Chen
cs.LGcs.AIcs.CVarXiv:2010.08973v12020
3D Neural Scene Representations for Visuomotor Control
Yunzhu Li, Shuang Li, Vincent Sitzmann +2
cs.ROcs.CVcs.LGarXiv:2107.04004v22021
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Shuanglin Yan, Hao Tang, Liyan Zhang +1
cs.CVarXiv:2208.14365v22022
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
Pichao Wang, Wanqing Li, Zhimin Gao +2
cs.CVarXiv:1804.01194v22018
Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction
Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1
cs.LGcs.CVarXiv:2609.09486v12026
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt +1
cs.CVarXiv:2010.12447v22020
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
Yi Yu, Feipeng Da
cs.CVarXiv:2211.06368v22022
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
cs.LGcs.CVeess.IVarXiv:2206.08826v22022
Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Zhuoyan Luo, Fengyuan Shi, Yixiao Ge +3
cs.CVcs.AIarXiv:2409.04410v32024
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
Bo Jiang, Shaoyu Chen, Bencheng Liao +6
cs.CVcs.ROarXiv:2410.22313v12024
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
David Acuna, Amlan Kar, Sanja Fidler
cs.CVcs.AIarXiv:1904.07934v22019
Mining Latent Classes for Few-shot Segmentation
Lihe Yang, Wei Zhuo, Lei Qi +2
cs.CVarXiv:2103.15402v32021
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi +2
cs.CVarXiv:2307.12868v22023
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen +2
cs.CVarXiv:1807.06708v22018
DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Lukas von Stumberg, Daniel Cremers
cs.CVcs.ROarXiv:2201.04114v12022
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming, Ying Fan, Yixuan Li
cs.LGcs.AIcs.CVarXiv:2206.13687v12022
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
cs.LGcs.CVstat.MLarXiv:1812.06190v12018
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
cs.CVarXiv:2108.09274v12021
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
Zhenggang Tang, Yuchen Fan, Dilin Wang +4
cs.CVcs.AIarXiv:2412.06974v12024
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang +1
cs.CVarXiv:2108.07002v32021
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
Yiwen Chen, Tong He, Di Huang +9
cs.CVcs.AIarXiv:2406.10163v22024
Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari
cs.CVcs.LGarXiv:2104.02416v12021
Self-taught Object Localization with Deep Networks
Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov +1
cs.CVarXiv:1409.3964v72014
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen, Yu Tian, Guansong Pang +1
cs.CVarXiv:2101.10043v52021
NAG: Network for Adversary Generation
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg +1
cs.CVcs.AIcs.LGarXiv:1712.03390v22017
Learnable Boundary Guided Adversarial Training
Jiequan Cui, Shu Liu, Liwei Wang +1
cs.CVarXiv:2011.11164v22020
On Learning Disentangled Representations for Gait Recognition
Ziyuan Zhang, Luan Tran, Feng Liu +1
cs.CVarXiv:1909.03051v12019
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
Jianqing Zhu, Huanqiang Zeng, Jingchang Huang +4
cs.CVarXiv:1811.05163v12018
The AVA-Kinetics Localized Human Actions Video Dataset
Ang Li, Meghana Thotakuri, David A. Ross +3
cs.CVcs.LGeess.IVarXiv:2005.00214v22020
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
Angela Dai, Christian Diller, Matthias Nießner
cs.CVarXiv:1912.00036v22019
Neural Head Reenactment with Latent Pose Descriptors
Egor Burkov, Igor Pasechnik, Artur Grigorev +1
cs.CVcs.LGarXiv:2004.12000v22020
Embedded real-time stereo estimation via Semi-Global Matching on the GPU
Daniel Hernandez-Juarez, Alejandro Chacón, Antonio Espinosa +3
cs.CVarXiv:1610.04121v12016
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
Vítor Albiero, Xingyu Chen, Xi Yin +2
cs.CVarXiv:2012.07791v22020
MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta, Stephen Tian, Yunzhi Zhang +3
cs.CVcs.LGcs.ROarXiv:2206.11894v22022

Computer Vision and Pattern Recognition

Photorealistic Image Synthesis for Object Instance Detection

Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition

Controlling Vision-Language Models for Multi-Task Image Restoration

Active Learning for Deep Detection Neural Networks

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

SegICP: Integrated Deep Semantic Segmentation and Pose Estimation

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions

Polyp-SAM: Transfer SAM for Polyp Segmentation

An Experimental Study of Deep Convolutional Features For Iris Recognition

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

DF26: We Cannot Tell Fake From Real Anymore

From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

Swapout: Learning an ensemble of deep architectures

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

Optimized U-Net for Brain Tumor Segmentation

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

Detailed 2D-3D Joint Representation for Human-Object Interaction

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Multi-scale Attention Network for Single Image Super-Resolution

Augmented LiDAR Simulator for Autonomous Driving

MEAL: Multi-Model Ensemble via Adversarial Learning

Feature Importance Ranking for Deep Learning

3D Neural Scene Representations for Visuomotor Control

Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search

Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration

Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection

Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis

Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations

Mining Latent Classes for Few-shot Segmentation

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

A Modulation Module for Multi-task Learning with Applications in Image Retrieval

DM-VIO: Delayed Marginalization Visual-Inertial Odometry

POEM: Out-of-Distribution Detection with Posterior Sampling

Learning Latent Subspaces in Variational Autoencoders

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Variational Transformer Networks for Layout Generation

Self-taught Object Localization with Deep Networks

Deep One-Class Classification via Interpolated Gaussian Descriptor

NAG: Network for Adversary Generation

Learnable Boundary Guided Adversarial Training

On Learning Disentangled Representations for Gait Recognition

Vehicle Re-identification Using Quadruple Directional Deep Learning Features

The AVA-Kinetics Localized Human Actions Video Dataset

SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

Neural Head Reenactment with Latent Pose Descriptors

Embedded real-time stereo estimation via Semi-Global Matching on the GPU

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

MaskViT: Masked Visual Pre-Training for Video Prediction