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)

6,301 to 6,360 of 18,866

Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Lei Shi, Yifan Zhang, Jian Cheng +1
cs.CVarXiv:1912.06971v12019
General $E(2)$-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
cs.CVcs.LGeess.IVarXiv:1911.08251v22019
Grape detection, segmentation and tracking using deep neural networks and three-dimensional association
Thiago T. Santos, Leonardo L. de Souza, Andreza A. dos Santos +1
cs.CVarXiv:1907.11819v32019
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
Rui Yang, Hanyang Chen, Junyu Zhang +10
cs.AIcs.CLcs.CVarXiv:2502.09560v32025
VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
Dominic Maggio, Hyungtae Lim, Luca Carlone
cs.CVarXiv:2505.12549v22025
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
Yongkang Li, Kaixin Xiong, Xiangyu Guo +12
cs.CVcs.ROarXiv:2506.08052v22025
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
Zechuan Zhang, Ji Xie, Yu Lu +2
cs.CVarXiv:2504.20690v32025
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
Yawei Luo, Ping Liu, Tao Guan +2
cs.CVcs.AIcs.LGarXiv:1904.00876v12019
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Haoran Song, Wenchao Ding, Yuxuan Chen +3
cs.CVcs.ROarXiv:2003.11476v22020
A new Backdoor Attack in CNNs by training set corruption without label poisoning
Mauro Barni, Kassem Kallas, Benedetta Tondi
cs.CRcs.CVcs.LGarXiv:1902.11237v12019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh
cs.NEcs.ARcs.CVarXiv:1901.00121v12019
Emu3.5: Native Multimodal Models are World Learners
Yufeng Cui, Honghao Chen, Haoge Deng +20
cs.CVarXiv:2510.26583v12025
Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids
Qifeng Chen, Vladlen Koltun
cs.CVarXiv:1604.03513v12016
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
David Tellez, Maschenka Balkenhol, Irene Otte-Holler +10
cs.CVarXiv:1808.05896v12018
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron, Piotr Bojanowski, Armand Joulin +1
cs.CVarXiv:1807.05520v22018
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni, Vincenzo Lomonaco
cs.LGcs.AIcs.CVarXiv:1806.08568v32018
Robust Registration of Calcium Images by Learned Contrast Synthesis
John A. Bogovic, Philipp Hanslovsky, Allan Wong +1
cs.CVarXiv:1511.01154v12015
MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Fanqing Meng, Lingxiao Du, Zongkai Liu +12
cs.CVarXiv:2503.07365v22025
SpatialTracker: Tracking Any 2D Pixels in 3D Space
Yuxi Xiao, Qianqian Wang, Shangzhan Zhang +4
cs.CVarXiv:2404.04319v12024
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu, Kiyoharu Aizawa
cs.CVarXiv:1908.04951v12019
MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
Sihan Yang, Runsen Xu, Yiman Xie +10
cs.CVcs.CLarXiv:2505.23764v32025
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou +2
cs.CVcs.ROarXiv:2110.06607v32021
Object Detection in Videos with Tubelet Proposal Networks
Kai Kang, Hongsheng Li, Tong Xiao +4
cs.CVarXiv:1702.06355v22017
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
Ariel Ephrat, Inbar Mosseri, Oran Lang +5
cs.SDcs.CVeess.ASarXiv:1804.03619v22018
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha +1
cs.CVcs.LGstat.AParXiv:1802.08717v12018
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He, Qile Zhu +1
cs.LGcs.CRcs.CVarXiv:1712.07107v32017
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
Zhen-Hua Feng, Josef Kittler, Muhammad Awais +2
cs.CVarXiv:1711.06753v52017
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2
cs.LGcs.AIcs.CVarXiv:1711.04708v12017
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann, Kyong Hwan Jin, Michael Unser
eess.IVcs.CVarXiv:1710.04011v12017
Machine learning \& artificial intelligence in the quantum domain
Vedran Dunjko, Hans J. Briegel
quant-phcs.AIcs.CVarXiv:1709.02779v12017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1
cs.LGcs.AIcs.CVarXiv:1708.05866v22017
ToxTrac: a fast and robust software for tracking organisms
Alvaro Rodriquez, Hanqing Zhang, Jonatan Klaminder +3
cs.CVarXiv:1706.02577v12017
Deep Learning Microscopy
Yair Rivenson, Zoltan Gorocs, Harun Gunaydin +3
cs.LGcs.CVphysics.opticsarXiv:1705.04709v12017
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Jiazhen Pan, Che Liu, Junde Wu +6
cs.CVcs.AIarXiv:2502.19634v22025
Building Deep Networks on Grassmann Manifolds
Zhiwu Huang, Jiqing Wu, Luc Van Gool
cs.CVarXiv:1611.05742v32016
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Junzhe Li, Yutao Cui, Tao Huang +8
cs.AIcs.CVarXiv:2507.21802v72025
Multi-Label Classification with Label Graph Superimposing
Ya Wang, Dongliang He, Fu Li +4
cs.CVarXiv:1911.09243v12019
RF-DETR: Neural Architecture Search for Real-Time Detection Transformers
Isaac Robinson, Peter Robicheaux, Matvei Popov +2
cs.CVarXiv:2511.09554v22025
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking
Pengyu Zhang, Jie Zhao, Dong Wang +2
cs.CVarXiv:2007.02041v12020
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Chaoyou Fu, Haojia Lin, Xiong Wang +13
cs.CVcs.SDeess.ASarXiv:2501.01957v42025
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Hongkai Wang, Zongwei Zhou, Yingci Li +5
cs.CVphysics.med-pharXiv:1702.02223v12017
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
Haocheng Xi, Shuo Yang, Yilong Zhao +11
cs.CVcs.LGarXiv:2502.01776v22025
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay, Grady Jensen, Patrick van der Smagt
cs.CVarXiv:1701.03056v22017
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Xiangyu Yue, Zangwei Zheng, Shanghang Zhang +4
cs.CVarXiv:2103.16765v12021
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Haoyu Fu, Diankun Zhang, Zongchuang Zhao +7
cs.CVarXiv:2503.19755v12025
Guiding Instruction-based Image Editing via Multimodal Large Language Models
Tsu-Jui Fu, Wenze Hu, Xianzhi Du +3
cs.CVarXiv:2309.17102v22023
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller +2
cs.CVarXiv:1612.01697v22016
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia, Lorenzo Baraldi, Giuseppe Serra +1
cs.CVarXiv:1611.09571v42016
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey +1
cs.CVarXiv:1611.03679v12016
Deep image mining for diabetic retinopathy screening
Gwenolé Quellec, Katia Charrière, Yassine Boudi +2
cs.CVarXiv:1610.07086v32016
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin, Saurabh Gupta, Ross Girshick +2
cs.CVarXiv:1505.04467v12015
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
Yuan Gao, Jiayi Ma, Alan L. Yuille
cs.CVarXiv:1609.03279v22016
Diffusion Based Unpaired Data Learning for Inverse Problems
Chenglong Bao, Yiming Dang, Chenguang Duan +2
cs.CVarXiv:2609.01370v12026
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture
Md Shoaib Ahmed, Tanjim Taharat Aurpa, Md. Abul Kalam Azad
cs.CVcs.LGarXiv:2105.03934v12021
Scene Text Detection via Holistic, Multi-Channel Prediction
Cong Yao, Xiang Bai, Nong Sang +3
cs.CVarXiv:1606.09002v22016
Diversified Visual Attention Networks for Fine-Grained Object Classification
Bo Zhao, Xiao Wu, Jiashi Feng +2
cs.CVarXiv:1606.08572v22016
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Stephen James, Kentaro Wada, Tristan Laidlow +1
cs.ROcs.AIcs.CVarXiv:2106.12534v22021
Context-aware Deep Feature Compression for High-speed Visual Tracking
Jongwon Choi, Hyung Jin Chang, Tobias Fischer +5
cs.CVarXiv:1803.10537v12018
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
Yazhou Yao, Zeren Sun, Chuanyi Zhang +4
cs.CVarXiv:2103.13029v12021
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
Zhihong Chen, Yuhao Du, Jinpeng Hu +4
cs.CVcs.CLarXiv:2209.07098v12022

Computer Vision and Pattern Recognition

Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks

General $E(2)$-Equivariant Steerable CNNs

Grape detection, segmentation and tracking using deep neural networks and three-dimensional association

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer

Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation

PiP: Planning-informed Trajectory Prediction for Autonomous Driving

A new Backdoor Attack in CNNs by training set corruption without label poisoning

FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review

Emu3.5: Native Multimodal Models are World Learners

Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

Deep Clustering for Unsupervised Learning of Visual Features

Continuous Learning in Single-Incremental-Task Scenarios

Robust Registration of Calcium Images by Learned Contrast Synthesis

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

SpatialTracker: Tracking Any 2D Pixels in 3D Space

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling

Object Detection in Videos with Tubelet Proposal Networks

Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Adversarial Examples: Attacks and Defenses for Deep Learning

Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

Machine Learning for the Geosciences: Challenges and Opportunities

A Review of Convolutional Neural Networks for Inverse Problems in Imaging

Machine learning \& artificial intelligence in the quantum domain

A Brief Survey of Deep Reinforcement Learning

ToxTrac: a fast and robust software for tracking organisms

Deep Learning Microscopy

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Building Deep Networks on Grassmann Manifolds

MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Multi-Label Classification with Label Graph Superimposing

RF-DETR: Neural Architecture Search for Real-Time Detection Transformers

Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

CNN-based Segmentation of Medical Imaging Data

Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Guiding Instruction-based Image Editing via Multimodal Large Language Models

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

Deep Convolutional Neural Network for Inverse Problems in Imaging

Deep image mining for diabetic retinopathy screening

Exploring Nearest Neighbor Approaches for Image Captioning

Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples

Diffusion Based Unpaired Data Learning for Inverse Problems

Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

Scene Text Detection via Holistic, Multi-Channel Prediction

Diversified Visual Attention Networks for Fine-Grained Object Classification

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

Context-aware Deep Feature Compression for High-speed Visual Tracking

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training