Computer Vision and Pattern Recognition

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6,421 to 6,480 of 18,822

MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers, Ximing Lu, Jack Hessel +5
cs.CVcs.CLcs.LGarXiv:2106.02636v32021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
Gihun Lee, Minchan Jeong, Yongjin Shin +2
cs.LGcs.AIcs.CVarXiv:2106.03097v52021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li, Ruihao Gong, Xu Tan +6
cs.LGcs.CVarXiv:2102.05426v22021
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
Zhiwen Fan, Jian Zhang, Renjie Li +15
cs.CVcs.CLarXiv:2505.20279v52025
pixelNeRF: Neural Radiance Fields from One or Few Images
Alex Yu, Vickie Ye, Matthew Tancik +1
cs.CVcs.GRcs.LGarXiv:2012.02190v32020
Distribution Matching for Crowd Counting
Boyu Wang, Huidong Liu, Dimitris Samaras +1
cs.CVarXiv:2009.13077v22020
Understanding the Role of Individual Units in a Deep Neural Network
David Bau, Jun-Yan Zhu, Hendrik Strobelt +3
cs.CVcs.LGcs.NEarXiv:2009.05041v22020
Teaching Vision-Language Models to Use the Scale They Are Given: Label-Free Equivariance Training for Metric Physical Reasoning
Kaizhen Tan, Yang Feng, Heqing Du +3
cs.CVarXiv:2609.00658v12026
Self-supervised Video Representation Learning by Pace Prediction
Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu
cs.CVarXiv:2008.05861v22020
Action2Motion: Conditioned Generation of 3D Human Motions
Chuan Guo, Xinxin Zuo, Sen Wang +5
cs.CVarXiv:2007.15240v12020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk +1
cs.CVarXiv:2007.06936v22020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu, Jonathan Niles-Weed, Narges Razavian +1
cs.LGcs.CVstat.MLarXiv:2007.00151v22020
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill, Florian Strub, Florent Altché +11
cs.LGcs.CVstat.MLarXiv:2006.07733v32020
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
cs.CVcs.LGarXiv:2001.00139v12020
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li, Yong Luo, Lefei Zhang +2
cs.CVarXiv:2501.04944v12025
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai, Chuang Gan, Tianzhe Wang +2
cs.LGcs.CVstat.MLarXiv:1908.09791v52019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +29
cs.CVarXiv:1910.03667v12019
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui, Xinbo Gao, Yunchu Yang +1
eess.IVcs.CVcs.MMarXiv:1909.11856v12019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr +6
cs.CRcs.CVeess.SParXiv:1907.06826v22019
Large Scale Adversarial Representation Learning
Jeff Donahue, Karen Simonyan
cs.CVcs.LGstat.MLarXiv:1907.02544v22019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
Simon S. Du, Kangcheng Hou, Barnabás Póczos +3
cs.LGcs.AIcs.CVarXiv:1905.13192v22019
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora, Simon S. Du, Wei Hu +3
cs.LGcs.CVcs.NEarXiv:1904.11955v22019
UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler
Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang +4
cs.CVarXiv:2502.20110v22025
Three scenarios for continual learning
Gido M. van de Ven, Andreas S. Tolias
cs.LGcs.AIcs.CVarXiv:1904.07734v12019
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
cs.CVarXiv:1901.04056v22019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen, Haoqi Fan, Bing Xu +5
cs.CVarXiv:1904.05049v32019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis +1
physics.comp-phcs.CVcs.LGarXiv:1901.06314v12019
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang +1
cs.CVarXiv:1811.06186v42018
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
Man Yao, Jiakui Hu, Tianxiang Hu +5
cs.NEcs.CVarXiv:2404.03663v12024
DARTS: Differentiable Architecture Search
Hanxiao Liu, Karen Simonyan, Yiming Yang
cs.LGcs.CLcs.CVarXiv:1806.09055v22018
A General Framework for Inference-time Scaling and Steering of Diffusion Models
Raghav Singhal, Zachary Horvitz, Ryan Teehan +4
cs.LGcs.CLcs.CVarXiv:2501.06848v52025
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Binbing Liao, Jingqing Zhang, Chao Wu +5
cs.CVcs.AIarXiv:1806.07380v12018
Robustness May Be at Odds with Accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom +2
stat.MLcs.CVcs.LGarXiv:1805.12152v52018
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin, Pau Rodriguez, Alexandre Lacoste
cs.LGcs.AIcs.CVarXiv:1805.10123v42018
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy +1
cs.CVarXiv:1802.09088v22018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
Yinhao Zhu, Nicholas Zabaras
physics.comp-phcs.CVcs.LGarXiv:1801.06879v12018
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Xingjian Leng, Jaskirat Singh, Yunzhong Hou +3
cs.CVcs.LGarXiv:2504.10483v32025
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang +2
cs.CVarXiv:1711.01991v32017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8
cs.CVcs.AIcs.LGarXiv:1711.01468v12017
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
cs.CVcs.AIcs.LGarXiv:1710.05381v22017
Deep Bilateral Learning for Real-Time Image Enhancement
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron +2
cs.GRcs.CVarXiv:1707.02880v22017
Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization
Yang Wang, Lin Wu
cs.CVarXiv:1709.01212v32017
Multi-task Self-Supervised Visual Learning
Carl Doersch, Andrew Zisserman
cs.CVarXiv:1708.07860v12017
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
Ke Yu, Chao Dong, Liang Lin +1
cs.CVarXiv:1804.03312v12018
Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
cs.LGcs.AIcs.CVarXiv:1605.09782v72016
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang, Binh-Son Hua, David W. Rosen +1
cs.CVarXiv:1908.06297v12019
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe +5
cs.CVcs.AIarXiv:1603.05959v32016
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang, Yutong Xie, Yong Xia +1
cs.CVarXiv:2011.10217v12020
HiLRP: Toward One Trustworthy Explanation for Vision Transformer: Conservation-Valid Attribution via Attention Primitives
Sathiyamohan Nishankar, Pubudu Sanjeewani, Asanka Perera +1
cs.CVcs.AIarXiv:2609.01282v12026
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Takuya Narihira, Michael Maire, Stella X. Yu
cs.CVarXiv:1512.02311v12015
StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization
Hongtao Kang, Die Luo, Li Chen +4
cs.CVcs.AIarXiv:2609.01146v12026
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
Deanna Needell, Nathan Srebro, Rachel Ward
math.NAcs.CVcs.LGarXiv:1310.5715v52013
Integrating Generic Sensor Fusion Algorithms with Sound State Representations through Encapsulation of Manifolds
Christoph Hertzberg, René Wagner, Udo Frese +1
cs.ROcs.CVcs.MSarXiv:1107.1119v12011
Group Invariant Scattering
Stéphane Mallat
math.FAcs.CVarXiv:1101.2286v32011
HVI: A New Color Space for Low-light Image Enhancement
Qingsen Yan, Yixu Feng, Cheng Zhang +6
cs.CVcs.AIcs.LGarXiv:2502.20272v22025
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Bangjie Yin, Wenxuan Wang, Taiping Yao +5
cs.CVarXiv:2105.03162v12021
Masked Face Recognition for Secure Authentication
Aqeel Anwar, Arijit Raychowdhury
cs.CVcs.LGeess.IVarXiv:2008.11104v12020
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
Zhiwen Shao, Zhilei Liu, Jianfei Cai +1
cs.CVarXiv:1803.05588v22018
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
Shams Nafisa Ali, Md. Tazuddin Ahmed, Joydip Paul +4
cs.CVcs.AIeess.IVarXiv:2207.03342v12022
Solaris: Towards Interfaces That Are Generated, Not Coded
Yuval Alaluf, Omri Avrahami, Guy Bukchin Leshem +18
cs.CVcs.AIarXiv:2609.00776v12026

Computer Vision and Pattern Recognition

MERLOT: Multimodal Neural Script Knowledge Models

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

pixelNeRF: Neural Radiance Fields from One or Few Images

Distribution Matching for Crowd Counting

Understanding the Role of Individual Units in a Deep Neural Network

Teaching Vision-Language Models to Use the Scale They Are Given: Label-Free Equivariance Training for Metric Physical Reasoning

Self-supervised Video Representation Learning by Pace Prediction

Action2Motion: Conditioned Generation of 3D Human Motions

Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

Early-Learning Regularization Prevents Memorization of Noisy Labels

Bootstrap your own latent: A new approach to self-supervised Learning

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification

Once-for-All: Train One Network and Specialize it for Efficient Deployment

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Lightweight Image Super-Resolution with Information Multi-distillation Network

Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving

Large Scale Adversarial Representation Learning

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels

On Exact Computation with an Infinitely Wide Neural Net

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Three scenarios for continual learning

The Liver Tumor Segmentation Benchmark (LiTS)

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips

DARTS: Differentiable Architecture Search

A General Framework for Inference-time Scaling and Steering of Diffusion Models

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Robustness May Be at Odds with Accuracy

TADAM: Task dependent adaptive metric for improved few-shot learning

Adversarially Learned One-Class Classifier for Novelty Detection

Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers

Mitigating Adversarial Effects Through Randomization

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

A systematic study of the class imbalance problem in convolutional neural networks

Deep Bilateral Learning for Real-Time Image Enhancement

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-task Self-Supervised Visual Learning

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

Adversarial Feature Learning

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

HiLRP: Toward One Trustworthy Explanation for Vision Transformer: Conservation-Valid Attribution via Attention Primitives

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression

StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization

Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

Integrating Generic Sensor Fusion Algorithms with Sound State Representations through Encapsulation of Manifolds

Group Invariant Scattering

HVI: A New Color Space for Low-light Image Enhancement

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Masked Face Recognition for Secure Authentication

Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

Solaris: Towards Interfaces That Are Generated, Not Coded