Computer Vision and Pattern Recognition

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11,221 to 11,280 of 18,829

EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan Sun, Yuxin Fang, Ledell Wu +2
cs.CVarXiv:2303.15389v12023
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang +2
cs.CVcs.AIcs.LGarXiv:2302.07817v22023
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Chengqi Lyu, Wenwei Zhang, Haian Huang +5
cs.CVarXiv:2212.07784v22022
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang +7
cs.CVcs.GRcs.LGarXiv:2211.10440v22022
ViM: Out-Of-Distribution with Virtual-logit Matching
Haoqi Wang, Zhizhong Li, Litong Feng +1
cs.CVarXiv:2203.10807v12022
Point-NeRF: Point-based Neural Radiance Fields
Qiangeng Xu, Zexiang Xu, Julien Philip +4
cs.CVarXiv:2201.08845v72022
Vision Transformer with Deformable Attention
Zhuofan Xia, Xuran Pan, Shiji Song +2
cs.CVarXiv:2201.00520v32022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon +1
cs.CVcs.LGarXiv:2111.11326v32021
Pivotal Tuning for Latent-based Editing of Real Images
Daniel Roich, Ron Mokady, Amit H. Bermano +1
cs.CVarXiv:2106.05744v12021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Xiaokang Chen, Yuhui Yuan, Gang Zeng +1
cs.CVarXiv:2106.01226v22021
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik +3
cs.CVcs.GRarXiv:2012.12247v42020
TDN: Temporal Difference Networks for Efficient Action Recognition
Limin Wang, Zhan Tong, Bin Ji +1
cs.CVarXiv:2012.10071v22020
NeRD: Neural Reflectance Decomposition from Image Collections
Mark Boss, Raphael Braun, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2012.03918v42020
Align Deep Features for Oriented Object Detection
Jiaming Han, Jian Ding, Jie Li +1
cs.CVarXiv:2008.09397v32020
MediaPipe Hands: On-device Real-time Hand Tracking
Fan Zhang, Valentin Bazarevsky, Andrey Vakunov +4
cs.CVarXiv:2006.10214v12020
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
cs.CVarXiv:2004.04730v12020
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
Hao Chen, Kunyang Sun, Zhi Tian +3
cs.CVarXiv:2001.00309v32020
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
Yisheng He, Wei Sun, Haibin Huang +3
cs.CVcs.ROarXiv:1911.04231v22019
FSGAN: Subject Agnostic Face Swapping and Reenactment
Yuval Nirkin, Yosi Keller, Tal Hassner
cs.CVcs.GRcs.LGarXiv:1908.05932v12019
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng +1
cs.CVcs.LGeess.IVarXiv:1908.05612v62019
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
Yuenan Hou, Zheng Ma, Chunxiao Liu +1
cs.CVarXiv:1908.00821v12019
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai +2
cs.CVcs.LGcs.ROarXiv:1905.02693v42019
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang +1
cs.CVarXiv:1904.06587v12019
Progressive Image Deraining Networks: A Better and Simpler Baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu +2
cs.CVarXiv:1901.09221v32019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub +2
cs.CVarXiv:1901.05103v12019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
He Wang, Srinath Sridhar, Jingwei Huang +3
cs.CVarXiv:1901.02970v22019
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
cs.CVarXiv:1812.11941v22018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn, Qi Li, Zhitao Gong +4
cs.CVcs.LGarXiv:1811.11553v32018
Benchmark Analysis of Representative Deep Neural Network Architectures
Simone Bianco, Remi Cadene, Luigi Celona +1
cs.CVarXiv:1810.00736v22018
DEIM: DETR with Improved Matching for Fast Convergence
Shihua Huang, Zhichao Lu, Xiaodong Cun +3
cs.CVcs.AIarXiv:2412.04234v32024
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018
Vision Meets Drones: A Challenge
Pengfei Zhu, Longyin Wen, Xiao Bian +2
cs.CVarXiv:1804.07437v22018
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon, Haggai Maron, Yaron Lipman
cs.CVarXiv:1803.10091v12018
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu
cs.CVarXiv:1803.02642v12018
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang, Weiyue Wang, Ulrich Neumann
cs.CVarXiv:1802.04402v22018
DensePose: Dense Human Pose Estimation In The Wild
Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos
cs.CVarXiv:1802.00434v12018
FSSD: Feature Fusion Single Shot Multibox Detector
Zuoxin Li, Lu Yang, Fuqiang Zhou
cs.CVarXiv:1712.00960v42017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang +1
cs.CVarXiv:1711.08588v22017
Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu, Runseng Feng, Ruoyu Feng +4
cs.CVarXiv:2304.06790v12023
NIMA: Neural Image Assessment
Hossein Talebi, Peyman Milanfar
cs.CVarXiv:1709.05424v22017
Multimodal End-to-End Autonomous Driving
Yi Xiao, Felipe Codevilla, Akhil Gurram +2
cs.CVarXiv:1906.03199v22019
Deep Metric Learning with Angular Loss
Jian Wang, Feng Zhou, Shilei Wen +2
cs.CVarXiv:1708.01682v12017
The "something something" video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski +11
cs.CVarXiv:1706.04261v22017
The Kinetics Human Action Video Dataset
Will Kay, Joao Carreira, Karen Simonyan +9
cs.CVarXiv:1705.06950v12017
Soft-NMS -- Improving Object Detection With One Line of Code
Navaneeth Bodla, Bharat Singh, Rama Chellappa +1
cs.CVarXiv:1704.04503v22017
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim +4
cs.CVarXiv:1703.10580v22017
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu, Yujie Wang, Jifeng Dai +2
cs.CVarXiv:1703.10025v22017
MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu, Xinchao Wang
cs.CVcs.AIcs.LGarXiv:2405.07992v32024
Richer Convolutional Features for Edge Detection
Yun Liu, Ming-Ming Cheng, Xiaowei Hu +2
cs.CVarXiv:1612.02103v32016
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun +8
cs.CVarXiv:1611.10012v32016
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao, Xingjun Ma, Xiang Zheng +3
cs.CVarXiv:2003.03030v22020
Visual Dialog
Abhishek Das, Satwik Kottur, Khushi Gupta +5
cs.CVcs.AIcs.CLarXiv:1611.08669v52016
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li, Haozhi Qi, Jifeng Dai +2
cs.CVarXiv:1611.07709v22016
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
Ankur Handa, Karl Van Wyk, Wei Yang +6
cs.CVcs.LGcs.ROarXiv:1910.03135v22019
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson, Charles Barto, Rounak Mehta +3
cs.CVcs.ROarXiv:1610.01983v22016
Full Resolution Image Compression with Recurrent Neural Networks
George Toderici, Damien Vincent, Nick Johnston +4
cs.CVarXiv:1608.05148v22016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen +2
cs.CVarXiv:1608.03981v12016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai, Yi Li, Kaiming He +1
cs.CVarXiv:1605.06409v32016
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment
Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok +1
cs.CVarXiv:1607.06140v42016
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
Yu Dong, Yihao Liu, He Zhang +2
cs.CVarXiv:2001.06968v22020

Computer Vision and Pattern Recognition

EVA-CLIP: Improved Training Techniques for CLIP at Scale

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Magic3D: High-Resolution Text-to-3D Content Creation

ViM: Out-Of-Distribution with Virtual-logit Matching

Point-NeRF: Point-based Neural Radiance Fields

Vision Transformer with Deformable Attention

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Pivotal Tuning for Latent-based Editing of Real Images

Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video

TDN: Temporal Difference Networks for Efficient Action Recognition

NeRD: Neural Reflectance Decomposition from Image Collections

Align Deep Features for Oriented Object Detection

MediaPipe Hands: On-device Real-time Hand Tracking

X3D: Expanding Architectures for Efficient Video Recognition

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

FSGAN: Subject Agnostic Face Swapping and Reenactment

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

3D Packing for Self-Supervised Monocular Depth Estimation

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

Progressive Image Deraining Networks: A Better and Simpler Baseline

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

High Quality Monocular Depth Estimation via Transfer Learning

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Benchmark Analysis of Representative Deep Neural Network Architectures

DEIM: DETR with Improved Matching for Fast Convergence

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Vision Meets Drones: A Challenge

Point Convolutional Neural Networks by Extension Operators

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

Recurrent Slice Networks for 3D Segmentation of Point Clouds

DensePose: Dense Human Pose Estimation In The Wild

FSSD: Feature Fusion Single Shot Multibox Detector

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

Inpaint Anything: Segment Anything Meets Image Inpainting

NIMA: Neural Image Assessment

Multimodal End-to-End Autonomous Driving

Deep Metric Learning with Angular Loss

The "something something" video database for learning and evaluating visual common sense

The Kinetics Human Action Video Dataset

Soft-NMS -- Improving Object Detection With One Line of Code

MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

Flow-Guided Feature Aggregation for Video Object Detection

MambaOut: Do We Really Need Mamba for Vision?

Richer Convolutional Features for Edge Detection

Speed/accuracy trade-offs for modern convolutional object detectors

Clean-Label Backdoor Attacks on Video Recognition Models

Visual Dialog

Fully Convolutional Instance-aware Semantic Segmentation

DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Full Resolution Image Compression with Recurrent Neural Networks

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

R-FCN: Object Detection via Region-based Fully Convolutional Networks

A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment

FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing