Computer Vision and Pattern Recognition

Papers filed under cs.CV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

Search paper metadata (including unsummarized papers)

10,081 to 10,140 of 18,848

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
cs.LGcs.CVcs.NEarXiv:1711.01239v22017
What is YOLOv5: A deep look into the internal features of the popular object detector
Rahima Khanam, Muhammad Hussain
cs.CVarXiv:2407.20892v12024
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
Xiaopei Wu, Liang Peng, Honghui Yang +5
cs.CVarXiv:2203.09780v22022
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang, Chen Chen, Surui Li +4
cs.CVarXiv:2111.12525v52021
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam +4
cs.CVarXiv:2201.08383v22022
EPOS: Estimating 6D Pose of Objects with Symmetries
Tomas Hodan, Daniel Barath, Jiri Matas
cs.CVcs.LGcs.ROarXiv:2004.00605v12020
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li, Songyang Zhang, Bo Wan +1
cs.CVcs.AIarXiv:2104.00308v22021
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
Mei Wang, Weihong Deng
cs.CVarXiv:1911.10692v12019
Sapiens: Foundation for Human Vision Models
Rawal Khirodkar, Timur Bagautdinov, Julieta Martinez +5
cs.CVarXiv:2408.12569v32024
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Ali Bou Nassif, Manar Abu Talib, Qassim Nasir +2
eess.IVcs.AIcs.CVarXiv:2203.04308v12022
Structured Prediction of 3D Human Pose with Deep Neural Networks
Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann +2
cs.CVarXiv:1605.05180v12016
DetNet: A Backbone network for Object Detection
Zeming Li, Chao Peng, Gang Yu +3
cs.CVarXiv:1804.06215v22018
Dissecting Person Re-identification from the Viewpoint of Viewpoint
Xiaoxiao Sun, Liang Zheng
cs.CVarXiv:1812.02162v62018
Occluded Person Re-identification
Jiaxuan Zhuo, Zeyu Chen, Jianhuang Lai +1
cs.CVcs.AIcs.MMarXiv:1804.02792v32018
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki
cs.CVarXiv:2204.04153v22022
M-LVC: Multiple Frames Prediction for Learned Video Compression
Jianping Lin, Dong Liu, Houqiang Li +1
eess.IVcs.CVcs.LGarXiv:2004.10290v12020
Fine-tuned CLIP Models are Efficient Video Learners
Hanoona Rasheed, Muhammad Uzair Khattak, Muhammad Maaz +2
cs.CVcs.AIarXiv:2212.03640v32022
Learning Motion Patterns in Videos
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
cs.CVarXiv:1612.07217v22016
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
Changha Shin, Hae-Gon Jeon, Youngjin Yoon +2
cs.CVarXiv:1804.02379v12018
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Ruining Deng, Can Cui, Quan Liu +13
eess.IVcs.CVarXiv:2304.04155v12023
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine +1
cs.CVarXiv:1511.07404v32015
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie, Ross Girshick, Ali Farhadi
cs.CVarXiv:1604.03650v12016
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Xiaoxiao Li, Ziwei Liu, Ping Luo +2
cs.CVcs.LGarXiv:1704.01344v12017
Smooth PARAFAC Decomposition for Tensor Completion
Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki
cs.CVarXiv:1505.06611v32015
Domain Adaptation via Prompt Learning
Chunjiang Ge, Rui Huang, Mixue Xie +4
cs.CVarXiv:2202.06687v12022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Rame, Corentin Dancette, Matthieu Cord
cs.LGcs.AIcs.CVarXiv:2109.02934v32021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov, Stefan Roth
cs.CVcs.LGarXiv:2105.00097v12021
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan, Dieter Fox
cs.LGcs.AIcs.CVarXiv:1606.02378v32016
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
stat.MLcs.AIcs.CRarXiv:1707.05373v12017
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
Yongchao Xu, Yukang Wang, Wei Zhou +3
cs.CVarXiv:1812.01393v22018
Densely Semantically Aligned Person Re-Identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng +1
cs.CVarXiv:1812.08967v22018
Micro-Net: A unified model for segmentation of various objects in microscopy images
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban +5
cs.CVarXiv:1804.08145v22018
Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri +2
cs.CVcs.LGcs.NEarXiv:1406.2080v42014
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu, Kun Yu, Zhixiang Duan +1
cs.CVarXiv:2007.10603v12020
Physics-Guided Flow Matching for CT Image Reconstruction
Davide Evangelista
cs.AIcs.CVarXiv:2608.28256v12026
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1706.05507v22017
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri +5
cs.LGcs.CVeess.IVarXiv:2001.02407v32020
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei, Boqing Gong, Zixia Liu +2
cs.CVcs.LGstat.MLarXiv:1803.01541v12018
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
Zheng Qin, Hao Yu, Changjian Wang +5
cs.CVarXiv:2308.03768v12023
Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
Ryo Suzuki, Adnan Karim, Tian Xia +2
cs.ROcs.CVcs.HCarXiv:2203.03254v12022
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu, Marco Galindo, Hongxia Xie +4
cs.CVcs.LGarXiv:2404.07236v22024
Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions
Donald Goldfarb, Shiqian Ma, Katya Scheinberg
math.OCcs.CVmath.NAarXiv:0912.4571v22009
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou, Aäron van den Oord, Sander Dieleman +2
cs.CVcs.AIcs.LGarXiv:1506.01911v32015
Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding
Hanoona Rasheed, Haania Siddiqui, Ming-Hsuan Yang +2
cs.CVarXiv:2608.28192v12026
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez +2
cs.CVarXiv:1806.01759v22018
Density Map Guided Object Detection in Aerial Images
Changlin Li, Taojiannan Yang, Sijie Zhu +2
cs.CVarXiv:2004.05520v12020
Cross-domain Detection via Graph-induced Prototype Alignment
Minghao Xu, Hang Wang, Bingbing Ni +2
cs.CVarXiv:2003.12849v12020
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Wenchao Sun, Xuewu Lin, Yining Shi +3
cs.CVarXiv:2405.19620v22024
Person Re-identification by Contour Sketch under Moderate Clothing Change
Qize Yang, Ancong Wu, Wei-Shi Zheng
cs.CVarXiv:2002.02295v12020
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang, Rohit Girdhar, Stella X. Yu +1
cs.CVcs.AIcs.LGarXiv:2301.11320v12023
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
Antoni Rosinol, Arjun Gupta, Marcus Abate +2
cs.ROcs.AIcs.CVarXiv:2002.06289v22020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Yingda Xia, Dong Yang, Zhiding Yu +7
cs.CVarXiv:2006.16806v12020
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu, Shuai Zheng, Junge Zhang +1
cs.CVarXiv:1703.07195v32017
A Survey of Vision-Language Pre-Trained Models
Yifan Du, Zikang Liu, Junyi Li +1
cs.CVcs.CLcs.LGarXiv:2202.10936v22022
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut
Fang Lu, Fa Wu, Peijun Hu +2
cs.CVarXiv:1605.03012v12016
GS-IR: 3D Gaussian Splatting for Inverse Rendering
Zhihao Liang, Qi Zhang, Ying Feng +2
cs.CVarXiv:2311.16473v32023
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee +3
cs.CVcs.AIcs.CLarXiv:2004.14973v22020
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Agata Mosinska, Pablo Marquez-Neila, Mateusz Kozinski +1
cs.CVarXiv:1712.02190v12017
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang +2
cs.CVcs.LGarXiv:2007.13003v32020
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand, Nazanin Mehrasa, Greg Mori
cs.CVarXiv:1902.09720v12019

Computer Vision and Pattern Recognition

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

What is YOLOv5: A deep look into the internal features of the popular object detector

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

Causality-inspired Single-source Domain Generalization for Medical Image Segmentation

MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition

EPOS: Estimating 6D Pose of Objects with Symmetries

Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning

Sapiens: Foundation for Human Vision Models

Breast cancer detection using artificial intelligence techniques: A systematic literature review

Structured Prediction of 3D Human Pose with Deep Neural Networks

DetNet: A Backbone network for Object Detection

Dissecting Person Re-identification from the Viewpoint of Viewpoint

Occluded Person Re-identification

Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories

M-LVC: Multiple Frames Prediction for Learned Video Compression

Fine-tuned CLIP Models are Efficient Video Learners

Learning Motion Patterns in Videos

EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Learning Visual Predictive Models of Physics for Playing Billiards

Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade

Smooth PARAFAC Decomposition for Tensor Completion

Domain Adaptation via Prompt Learning

Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

Houdini: Fooling Deep Structured Prediction Models

TextField: Learning A Deep Direction Field for Irregular Scene Text Detection

Densely Semantically Aligned Person Re-Identification

Micro-Net: A unified model for segmentation of various objects in microscopy images

Training Convolutional Networks with Noisy Labels

Feature-metric Loss for Self-supervised Learning of Depth and Egomotion

Physics-Guided Flow Matching for CT Image Reconstruction

Variants of RMSProp and Adagrad with Logarithmic Regret Bounds

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer

Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

Density Map Guided Object Detection in Aerial Images

Cross-domain Detection via Graph-induced Prototype Alignment

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Person Re-identification by Contour Sketch under Moderate Clothing Change

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

GP-GAN: Towards Realistic High-Resolution Image Blending

A Survey of Vision-Language Pre-Trained Models

Automatic 3D liver location and segmentation via convolutional neural networks and graph cut

GS-IR: 3D Gaussian Splatting for Inverse Rendering

Improving Vision-and-Language Navigation with Image-Text Pairs from the Web

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Robust and Generalizable Visual Representation Learning via Random Convolutions

Learning a Deep ConvNet for Multi-label Classification with Partial Labels