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.

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14,401 to 14,460 of 18,817

Generative Image Modeling using Style and Structure Adversarial Networks
Xiaolong Wang, Abhinav Gupta
cs.CVarXiv:1603.05631v22016
TractSeg - Fast and accurate white matter tract segmentation
Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
cs.CVeess.IVarXiv:1805.07103v22018
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2
cs.CVcs.AIcs.LGarXiv:2004.05155v12020
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao, Mu Zhou, Dimitris Metaxas
cs.CVarXiv:2107.00781v22021
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein +38
eess.IVcs.CVcs.LGarXiv:1912.01054v22019
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2
cs.CVcs.GRcs.LGarXiv:1710.07480v12017
Cross-view Action Modeling, Learning and Recognition
Jiang wang, Xiaohan Nie, Yin Xia +2
cs.CVarXiv:1405.2941v12014
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
cs.CVcs.CLcs.LGarXiv:1912.08830v32019
Gen2Physics: Grounding Generated 3D Meshes in Physics via Multi-View Material Decomposition
Mauro Comi, Jordi Serrano Berbel, Kevis-Kokitsi Maninis +2
cs.CVarXiv:2608.23869v12026
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
cs.CVcs.AIcs.CLarXiv:1505.01121v32015
ResNet strikes back: An improved training procedure in timm
Ross Wightman, Hugo Touvron, Hervé Jégou
cs.CVcs.LGarXiv:2110.00476v12021
Real-Time User-Guided Image Colorization with Learned Deep Priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola +4
cs.CVcs.GRarXiv:1705.02999v12017
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki +1
cs.CVarXiv:1803.11365v12018
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc, Andrea Vedaldi
cs.CVcs.LGcs.NEarXiv:1411.5908v22014
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen, Jun Gao, Kangxue Yin +2
cs.CVcs.LGarXiv:2111.04276v12021
Learning Enriched Features for Fast Image Restoration and Enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
eess.IVcs.CVarXiv:2205.01649v12022
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen, Xiaojuan Qi, Lequan Yu +1
cs.CVarXiv:1604.02677v12016
Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit, Serge Belongie +1
cs.LGcs.AIcs.CVarXiv:1705.10694v32017
Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
Dexter Wen Jie Teo, Nairouz Shehata, Herve Lombaert
eess.IVcs.CVcs.LGarXiv:2608.23879v12026
GAN Inversion: A Survey
Weihao Xia, Yulun Zhang, Yujiu Yang +3
cs.CVarXiv:2101.05278v52021
P-CNN: Pose-based CNN Features for Action Recognition
Guilhem Chéron, Ivan Laptev, Cordelia Schmid
cs.CVarXiv:1506.03607v22015
Deep Visual Attention Prediction
Wenguan Wang, Jianbing Shen
cs.CVarXiv:1705.02544v32017
Learning to Detect Human-Object Interactions
Yu-Wei Chao, Yunfan Liu, Xieyang Liu +2
cs.CVarXiv:1702.05448v22017
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu, Xiao Ma, Jiawei Ren +2
cs.CVcs.LGcs.ROarXiv:2005.08514v22020
VizAnchor: Decoding Manipulation Intent from Tampering Visualizations via Dual-Anchor Reasoning
Xiaotian Zhang, Huayuan Ye, Haiyang Zhang +3
cs.CVcs.HCarXiv:2608.24535v12026
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang, Qinghao Ye, Jun Xia
cs.AIcs.CVcs.ITarXiv:2102.01998v12021
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu, Yiming Zhou, Yuansheng Xu +1
cs.CVarXiv:2303.15140v22023
A Short Note about Kinetics-600
Joao Carreira, Eric Noland, Andras Banki-Horvath +2
cs.CVarXiv:1808.01340v12018
Medical image denoising using convolutional denoising autoencoders
Lovedeep Gondara
cs.CVstat.MLarXiv:1608.04667v22016
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6
cs.CVcs.LGeess.IVarXiv:1909.11573v52019
Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model
Yi Liu, Chao Pang, Zongqian Zhan +2
cs.CVarXiv:1909.07726v12019
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho, Jie Lei, Hao Tan +1
cs.CLcs.AIcs.CVarXiv:2102.02779v22021
Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation
Dexter Wen Jie Teo, Kumaradevan Punithakumar
eess.IVcs.CVarXiv:2608.23882v12026
Robust Scene Text Recognition with Automatic Rectification
Baoguang Shi, Xinggang Wang, Pengyuan Lyu +2
cs.CVarXiv:1603.03915v22016
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Renrui Zhang, Zhang Wei, Rongyao Fang +5
cs.CVcs.AIcs.CLarXiv:2207.09519v12022
Scaling Reinforcement Learning for Diffusion Models via Velocity Matching
Jaemoo Choi, Wei Guo, Yuchen Zhu +4
cs.CVcs.LGarXiv:2608.23664v12026
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Haowen Deng, Tolga Birdal, Slobodan Ilic
cs.CVcs.AIarXiv:1802.02669v22018
Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng +1
cs.ROcs.AIcs.CLarXiv:2210.05714v42022
CoTracker: It is Better to Track Together
Nikita Karaev, Ignacio Rocco, Benjamin Graham +3
cs.CVarXiv:2307.07635v32023
MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography
Lin Xi, Yingliang Ma
cs.CVarXiv:2608.24783v12026
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xiaolong Wang, Yufei Ye, Abhinav Gupta
cs.CVcs.CLarXiv:1803.08035v22018
SandwichQuant: Which Parameters Matter Before and After Quantization?
Peng Xia, Junbiao Pang
cs.CVarXiv:2608.24173v12026
X-Linear Attention Networks for Image Captioning
Yingwei Pan, Ting Yao, Yehao Li +1
cs.CVarXiv:2003.14080v12020
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni, Adam Polyak, Oron Ashual +3
cs.CVcs.AIcs.CLarXiv:2203.13131v12022
Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery
Hayat Rajani, Nuno Gracias, Rafael Garcia
cs.CVcs.LGarXiv:2608.24756v12026
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
Ajay Jain, Matthew Tancik, Pieter Abbeel
cs.CVcs.AIcs.GRarXiv:2104.00677v12021
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu, Haoyuan Mu, Xiangyu Zhang +4
cs.CVarXiv:1903.10258v32019
RefineRank: Joint Box Refinement and Ranking for Surgical Spatio-Temporal Grounding
Linzhe Jiang, Jiayuan Huang, Changhao Zhang +3
cs.CVcs.AIarXiv:2608.23928v12026
Learning What and Where to Draw
Scott Reed, Zeynep Akata, Santosh Mohan +3
cs.CVcs.NEarXiv:1610.02454v12016
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye, Xu Zhang, Pong C. Yuen +1
cs.CVarXiv:1904.03436v12019
Learning non-maximum suppression
Jan Hosang, Rodrigo Benenson, Bernt Schiele
cs.CVarXiv:1705.02950v22017
HAP: Head-Adaptive Visual Token Pruning via Cross-Modal Alignment
Yuanhao Sun, Huawei Ji, Yuan Jin +3
cs.CVarXiv:2608.23921v12026
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin +6
cs.CVcs.GRarXiv:2101.10994v12021
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis +1
cs.CVarXiv:2012.07657v32020
TEMOS: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J. Black, Gül Varol
cs.CVcs.CLarXiv:2204.14109v22022
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock, Soham De, Samuel L. Smith +1
cs.CVcs.LGstat.MLarXiv:2102.06171v12021
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Simon Meister, Junhwa Hur, Stefan Roth
cs.CVarXiv:1711.07837v12017
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman +1
cs.CVarXiv:2302.08113v12023
Reverse Attention for Salient Object Detection
Shuhan Chen, Xiuli Tan, Ben Wang +1
cs.CVarXiv:1807.09940v22018
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Zhaoshuo Li, Thomas Müller, Alex Evans +4
cs.CVarXiv:2306.03092v22023

Computer Vision and Pattern Recognition

Generative Image Modeling using Style and Structure Adversarial Networks

TractSeg - Fast and accurate white matter tract segmentation

Learning to Explore using Active Neural SLAM

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

HDR image reconstruction from a single exposure using deep CNNs

Cross-view Action Modeling, Learning and Recognition

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Gen2Physics: Grounding Generated 3D Meshes in Physics via Multi-View Material Decomposition

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

ResNet strikes back: An improved training procedure in timm

Real-Time User-Guided Image Colorization with Learned Deep Priors

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

Understanding image representations by measuring their equivariance and equivalence

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis

Learning Enriched Features for Fast Image Restoration and Enhancement

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Deep Learning is Robust to Massive Label Noise

Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

GAN Inversion: A Survey

P-CNN: Pose-based CNN Features for Action Recognition

Deep Visual Attention Prediction

Learning to Detect Human-Object Interactions

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

VizAnchor: Decoding Manipulation Intent from Tampering Visualizations via Dual-Anchor Reasoning

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

SimpleNet: A Simple Network for Image Anomaly Detection and Localization

A Short Note about Kinetics-600

Medical image denoising using convolutional denoising autoencoders

Deep Learning for Deepfakes Creation and Detection: A Survey

Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model

Unifying Vision-and-Language Tasks via Text Generation

Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation

Robust Scene Text Recognition with Automatic Rectification

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Scaling Reinforcement Learning for Diffusion Models via Velocity Matching

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching

Visual Language Maps for Robot Navigation

CoTracker: It is Better to Track Together

MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography

Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs

SandwichQuant: Which Parameters Matter Before and After Quantization?

X-Linear Attention Networks for Image Captioning

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

RefineRank: Joint Box Refinement and Ranking for Surgical Spatio-Temporal Grounding

Learning What and Where to Draw

Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

Learning non-maximum suppression

HAP: Head-Adaptive Visual Token Pruning via Cross-Modal Alignment

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

TEMOS: Generating diverse human motions from textual descriptions

High-Performance Large-Scale Image Recognition Without Normalization

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Reverse Attention for Salient Object Detection

Neuralangelo: High-Fidelity Neural Surface Reconstruction