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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10,921 to 10,980 of 18,801

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen, Wen Li, Luc Van Gool
cs.CVarXiv:1711.11556v22017
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic +1
cs.LGcs.CVarXiv:2206.09012v32022
Universal Adversarial Perturbations Against Semantic Image Segmentation
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox +1
stat.MLcs.AIcs.CVarXiv:1704.05712v32017
Do Convnets Learn Correspondence?
Jonathan Long, Ning Zhang, Trevor Darrell
cs.CVcs.LGcs.NEarXiv:1411.1091v12014
Auxiliary Tasks in Multi-task Learning
Lukas Liebel, Marco Körner
cs.CVcs.LGarXiv:1805.06334v22018
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang, Siyi Li, Abhinav Gupta +1
cs.CVcs.NEarXiv:1501.04587v22015
Loss Functions for Neural Networks for Image Processing
Hang Zhao, Orazio Gallo, Iuri Frosio +1
cs.CVarXiv:1511.08861v32015
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su, Frank Yu, Michael Zollhoefer +1
cs.CVcs.GRarXiv:2102.06199v32021
Projected GANs Converge Faster
Axel Sauer, Kashyap Chitta, Jens Müller +1
cs.CVcs.LGarXiv:2111.01007v12021
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Wenqiang Zhang, Zilong Huang, Guozhong Luo +5
cs.CVarXiv:2204.05525v12022
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata Vaswani, Thierry Bouwmans, Sajid Javed +1
cs.ITcs.CVstat.MEarXiv:1711.09492v42017
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon +13
cs.ROcs.CLcs.CVarXiv:2410.11758v22024
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Hongkai Chen, Zixin Luo, Lei Zhou +6
cs.CVarXiv:2208.14201v12022
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel +2
cs.CVcs.LGstat.MLarXiv:2004.09576v12020
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
Tao Chen, Damian Borth, Trevor Darrell +1
cs.CVcs.LGcs.MMarXiv:1410.8586v12014
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang +4
cs.ROcs.AIcs.CVarXiv:2309.05665v22023
Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin +3
cs.CLcs.AIcs.CVarXiv:1603.06059v32016
Single Shot Text Detector with Regional Attention
Pan He, Weilin Huang, Tong He +3
cs.CVarXiv:1709.00138v12017
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou, Yukun Ma, Junnan Zhu +5
cs.CVcs.ARarXiv:2102.04010v22021
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang, Shuyang Gu, Chen Li +5
cs.CVarXiv:2303.09556v32023
End-to-end Audio-visual Speech Recognition with Conformers
Pingchuan Ma, Stavros Petridis, Maja Pantic
cs.CVeess.ASarXiv:2102.06657v12021
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
cs.CVcs.GRarXiv:2003.04583v22020
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Jian Han, Jinlai Liu, Yi Jiang +5
cs.CVarXiv:2412.04431v22024
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott Reed, Ming-Hsuan Yang +1
cs.LGcs.AIcs.CVarXiv:1601.00706v12016
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
Liang Shen, Zihan Yue, Fan Feng +3
cs.CVarXiv:1711.02488v12017
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
Zhicheng Huang, Zhaoyang Zeng, Yupan Huang +3
cs.CVarXiv:2104.03135v22021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu, Liang Qiu, Jiaqi Chen +6
cs.CVcs.AIcs.CLarXiv:2110.13214v42021
SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
Shuai Yuan, Hanlin Qin, Xiang Yan +2
cs.CVarXiv:2401.15583v32024
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification
Yuxiang Zhang, Wei Li, Weidong Sun +2
cs.CVarXiv:2209.01634v12022
SteganoGAN: High Capacity Image Steganography with GANs
Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu +1
cs.CVcs.LGcs.MMarXiv:1901.03892v22019
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Yifan Peng, Shazia Dharssi, Qingyu Chen +5
cs.CVarXiv:1811.07492v22018
Quaternion Fourier Transform on Quaternion Fields and Generalizations
Eckhard Hitzer
math.RAcs.CVmath-pharXiv:1306.1023v12013
Deep Multimodal Fusion by Channel Exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun +3
cs.CVcs.LGarXiv:2011.05005v22020
Multimodal Residual Learning for Visual QA
Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak +4
cs.CVarXiv:1606.01455v22016
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
Ziqin Zhou, Bowen Zhang, Yinjie Lei +2
cs.CVarXiv:2212.03588v32022
Focal Sparse Convolutional Networks for 3D Object Detection
Yukang Chen, Yanwei Li, Xiangyu Zhang +2
cs.CVcs.LGarXiv:2204.12463v12022
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao, Pan Zhou, Ming-Ming Cheng +1
cs.CVarXiv:2303.14389v22023
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Zhonghao Zhang, Yipeng Liu, Jiani Liu +2
eess.IVcs.CVarXiv:2004.10078v22020
Cluster Contrast for Unsupervised Person Re-Identification
Zuozhuo Dai, Guangyuan Wang, Weihao Yuan +3
cs.CVarXiv:2103.11568v42021
Review: deep learning on 3D point clouds
Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang
cs.CVarXiv:2001.06280v12020
Going Deeper into First-Person Activity Recognition
Minghuang Ma, Haoqi Fan, Kris M. Kitani
cs.CVarXiv:1605.03688v12016
MetaFormer Baselines for Vision
Weihao Yu, Chenyang Si, Pan Zhou +5
cs.CVcs.AIcs.LGarXiv:2210.13452v42022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
Sungwook Lee, Seunghyun Lee, Byung Cheol Song
cs.CVcs.LGarXiv:2206.04325v12022
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
Lina Zhuang, Jose M. Bioucas-Dias
eess.IVcs.CVarXiv:2103.06842v12021
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding, Yuqi Huo, Hongwei Yi +4
cs.CVarXiv:1912.04799v22019
DeepHuman: 3D Human Reconstruction from a Single Image
Zerong Zheng, Tao Yu, Yixuan Wei +2
cs.CVarXiv:1903.06473v22019
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
Li Yi, Wang Zhao, He Wang +2
cs.CVarXiv:1812.03320v12018
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi +4
cs.ROcs.AIcs.CVarXiv:2112.05124v12021
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
David Rozenberszki, Or Litany, Angela Dai
cs.CVarXiv:2204.07761v22022
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Runsheng Xu, Xin Xia, Jinlong Li +10
cs.CVarXiv:2303.07601v22023
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng, Ali Harakeh, Steven Waslander +1
cs.CVcs.ROarXiv:2011.10671v22020
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou, David Bau, Aude Oliva +1
cs.CVarXiv:1711.05611v22017
ConvNet Architecture Search for Spatiotemporal Feature Learning
Du Tran, Jamie Ray, Zheng Shou +2
cs.CVarXiv:1708.05038v12017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu, Theerasit Issaranon, David Forsyth
cs.CVcs.LGarXiv:1704.00103v22017
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
Jinkyu Kim, John Canny
cs.CVcs.LGarXiv:1703.10631v12017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
Hantao Yao, Feng Dai, Dongming Zhang +4
cs.CVarXiv:1702.05743v42017
Non-Local Color Image Denoising with Convolutional Neural Networks
Stamatios Lefkimmiatis
cs.CVcs.AIarXiv:1611.06757v22016
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu +3
cs.CVarXiv:1608.07711v22016
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
Aayush Prakash, Shaad Boochoon, Mark Brophy +5
cs.CVarXiv:1810.10093v22018
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang, Brian Price, Scott Cohen +2
cs.CVcs.LGarXiv:1603.04530v12016

Computer Vision and Pattern Recognition

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Diffusion models as plug-and-play priors

Universal Adversarial Perturbations Against Semantic Image Segmentation

Do Convnets Learn Correspondence?

Auxiliary Tasks in Multi-task Learning

Transferring Rich Feature Hierarchies for Robust Visual Tracking

Loss Functions for Neural Networks for Image Processing

A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose

Projected GANs Converge Faster

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Latent Action Pretraining from Videos

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer

LSQ+: Improving low-bit quantization through learnable offsets and better initialization

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

Robot Parkour Learning

Generating Natural Questions About an Image

Single Shot Text Detector with Regional Attention

Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

Efficient Diffusion Training via Min-SNR Weighting Strategy

End-to-end Audio-visual Speech Recognition with Conformers

TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

MSR-net:Low-light Image Enhancement Using Deep Convolutional Network

Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection

Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification

SteganoGAN: High Capacity Image Steganography with GANs

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

Quaternion Fourier Transform on Quaternion Fields and Generalizations

Deep Multimodal Fusion by Channel Exchanging

Multimodal Residual Learning for Visual QA

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

Focal Sparse Convolutional Networks for 3D Object Detection

MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer

AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

Cluster Contrast for Unsupervised Person Re-Identification

Review: deep learning on 3D point clouds

Going Deeper into First-Person Activity Recognition

MetaFormer Baselines for Vision

CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

DeepHuman: 3D Human Reconstruction from a Single Image

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

Language-Grounded Indoor 3D Semantic Segmentation in the Wild

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

Interpreting Deep Visual Representations via Network Dissection

ConvNet Architecture Search for Spatiotemporal Feature Learning

SafetyNet: Detecting and Rejecting Adversarial Examples Robustly

Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing

Non-Local Color Image Denoising with Convolutional Neural Networks

3D Object Proposals using Stereo Imagery for Accurate Object Class Detection

Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network