VirtualWorlds as Proxy for Multi-object Tracking Analysis

Gaidon, Adrien, Wang, Qiao, Cabon, Yohann, Vig, Eleonora·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

DOI 10.1109/cvpr.2016.470

Cited by (1,000)

Items 501–600 of 1,000

Investigating the Sim-to-Real Generalizability of Deep Learning Object Detection Models
Joachim Rüter, Umut Durak, Johann C. Dauer · 2024 · Journal of Imaging
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn, Christian Rupprecht · 2024 · Lecture notes in computer science
MIXED-SENSE: A Mixed Reality Sensor Emulation Framework for Test and Evaluation of UAVs Against False Data Injection Attacks
Kartik A. Pant, Li-Yu Lin, Jaehyeok Kim, Worawis Sribunma, James Goppert, Inseok Hwang · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
NeRF dynamic scene reconstruction based on motion, semantic information and inpainting
Jiaxuan Liu, Huan Cheng, Shuo Wang, Fang Zhao, Meng Li · 2025 · Neurocomputing
An effective ship detection approach combining lightweight networks with supervised simulation‐to‐reality domain adaptation
Ruixuan Liao, Yiming Zhang, Hao Wang, Linjun Lu, Zhengyi Chen, Xiaoyou Wang, Wenqiang Zuo · 2025 · Computer-Aided Civil and Infrastructure Engineering
CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation
Minhaeng Lee, Charless C. Fowlkes · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Interactive Analysis of CNN Robustness
Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin Hasani, Manuela Waldner · 2021 · Computer Graphics Forum
A Method for Synthetic LiDAR Generation to Create Annotated Datasets for Autonomous Vehicles Perception
Jorge Beltrán, Irene Cortés, Alejandro Barrera, Jesús Urdiales, Carlos Guindel, Fernando García, Arturo de la Escalera · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
Style Transfer for Detecting Vehicles with Thermal Camera
Sebastian Cygert, Andrzej Czyżewski · 2019 · Signal Processing: Algorithms, Architectures, Arrangements, and Applications
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios
Hae‐Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong‐Geol Choi, Martial Hebert, In So Kweon · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PennSyn2Real: Training Object Recognition Models Without Human Labeling
Ty Nguyen, Ian D. Miller, Avi Cohen, Dinesh Thakur, Arjun Guru, Shashank Prasad, Camillo Jose Taylor, Pratik Chaudhari, Vijay Kumar · 2021 · IEEE Robotics and Automation Letters
OmniFlow: Human Omnidirectional Optical Flow
Roman Seidel, André Apitzsch, Gangolf Hirtz · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul, Xi Li · 2021 · arXiv (Cornell University)
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Ying-Cong Chen · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
SORDI.ai: large-scale synthetic object recognition dataset generation for industries
Chafic Abou Akar, Jimmy Tekli, Joe Khalil, Anthony Yaghi, Youssef Haddad, Abdallah Makhoul, Marc Kamradt · 2024 · Multimedia Tools and Applications
3D Lidar Point Cloud Segmentation for Automated Driving
Rashid Abbasi, Ali Kashif Bashir, Amjad Ur Rehman, Yuan Ge · 2024 · IEEE Intelligent Transportation Systems Magazine
A Survey of Automatic Driving Environment Perception
Hui Zhao, Xin Li, Cheng Xu, Bingxin Xu, Hongzhe Liu · 2024 · IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
Learning to Simulate Complex Scenes for Street Scene Segmentation
Zhenfeng Xue, Weijie Mao, Liang Zheng · 2021 · IEEE Transactions on Multimedia
Deep Learning Based Vehicle Detection on Real and Synthetic Aerial Images: Training Data Composition and Statistical Influence Analysis
Michael Krump, Peter Stütz · 2023 · Sensors
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction
Luobin Wang, Runlin Guo, Quan Vuong, Yuzhe Qin, Hao Su, Henrik I. Christensen · 2023 · IEEE International Conference on Automation Science and Engineering (CASE)
Transfer multi-source knowledge via scale-aware online domain adaptation in depth estimation for autonomous driving
Phan Thi Huyen Thanh, Minh-Quan Viet Bui, Duc Dung Nguyen, Tran Vu Pham, Truong Vinh Truong Duy, Natori Naotake · 2023 · Image and Vision Computing
GAN-Assisted Road Segmentation from Satellite Imagery
Wenmiao Hu, Yifang Yin, Ying Kiat Tan, An Thi Tuong Tran, Hannes Kruppa, Roger Zimmermann · 2023 · ACM Transactions on Multimedia Computing Communications and Applications
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
Lior Talker, Aviad Cohen, Erez Yosef, Alexandra Dana, Michael Dinerstein · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Virtual World Bridges the Real Challenge: Automated Data Generation for Autonomous Driving
Dongfang Liu, Yaqin Wang, Kar Ee Ho, Zhiwei Chu, Eric T. Matson · 2019 · IEEE Intelligent Vehicles Symposium
Recognizing New Classes with Synthetic Data in the Loop: Application to Traffic Sign Recognition
Gabriel Villalonga, Joost van de Weijer, A. López · 2020 · Italian National Conference on Sensors
DeepMLE: A Robust Deep Maximum Likelihood Estimator for Two-view Structure from Motion
Yuxi Xiao, Li Li, Xiaodi Li, Jian Yao · 2022 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-Based Semantic Region Merging
Kangcheng Liu · 2022 · International Journal of Computer Vision
END-TO-END DEPTH FROM MOTION WITH STABILIZED MONOCULAR VIDEOS
Clément Pinard, Laure Chevalley, Antoine Manzanera B, David Filliat · 2017 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Learning Stereo from Single Images
Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel Brostow, Michael Firman · 2020 · Lecture notes in computer science
Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection?
Adam Kortylewski, Bernhard Egger, Andreas Morel-Forster, Schneider, Andreas, Gerig, Thomas, Clemens Blumer, Corius Reyneke, Thomas R. Vetter · 2018 · arXiv (Cornell University)
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering
Lakshya Jain, Varun Chandrasekaran, Uyeong Jang, Wilson Wu, Andrew S. Lee, Andy Yan, Steven Chen, Somesh Jha, Sanjit Arunkumar Seshia · 2019 · arXiv (Cornell University)
HazardNet: Road Debris Detection by Augmentation of Synthetic Models
Tae Eun Choe, Jane Wu, Xiaolin Lin, Karen Kwon, Minwoo Park · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Generating synthetic data for deep learning-based drone detection
Tamara Regina Dieter, Andreas Weinmann, Eva Brucherseifer · 2023 · AIP conference proceedings
Computer Vision in Augmented, Virtual, Mixed and Extended Reality environments—A bibliometric review
Júlio Castro Lopes, Rui Pedro Lopes · 2024 · Visual Informatics
CAMHighways: The Cambridge Highways dataset
Alix Marie d’Avigneau, Lilia Potseluyko, Nzebo Richard Anvo, Hussameldin M. Taha, Varun Kumar Reja, Diana Davletshina, Percy Lam, Lavindra de Silva, Abir Al‐Tabbaa, Ioannis Brilakis · 2024 · Advanced Engineering Informatics
Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation
Julia Hornauer, Amir El-Ghoussani, Vasileios Belagiannis · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion-Then-Distillation: Toward Cross-Modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation
Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Yanyun Qu · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth Completion
Zhiqiang Yan, Xiang Li, Le Hui, Zhenyu Zhang, Jun Li, Jian Wu Yang · 2025 · International Journal of Computer Vision
S 2 M 2 : Scalable Stereo Matching Model for Reliable Depth Estimation
Junhong Min, Youngpil Jeon, Jimin Kim, Minyong Choi · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
Gaussian Weighted Deep Modeling for Improved Depth Estimation in Monocular Images
Jianmin Jiang, Ehab H. El‐Shazly, Xiaoyan Zhang · 2019 · IEEE Access
Learn to Adapt for Self-Supervised Monocular Depth Estimation
Qiyu Sun, Gary G. Yen, Yang Shan Tang, Chaoqiang Zhao · 2023 · IEEE Transactions on Neural Networks and Learning Systems
Medium-Fidelity Evaluation and Modeling for Perception Systems of Intelligent and Connected Vehicles
Chen Sun, Yaodong Cui, Ngọc-Dũng Đào, Reza Valiollahi Mehrizi, Mohammad Pirani, Amir Khajepour · 2023 · IEEE Transactions on Intelligent Vehicles
Scenario-Based Synthetic Data Generation for an AI-based System Using a Flight Simulator
Jasper Sprockhoff, Siddhartha Gupta, Umut Durak, Thomas Krueger · 2024 · AIAA SciTech Forum
Self-Supervised Optical Flow Estimation by Projective Bootstrap
Stefano Alletto, Davide Abati, Simone Calderara, Rita Cucchiara, Luca Rigazio · 2018 · IEEE Transactions on Intelligent Transportation Systems
3D Ground Point Classification for Automotive Scenarios
Julia Nitsch, Julio Aguilar, Juan I. Nieto, Roland Siegwart, Max Theo Schmidt, César Cadena · 2018 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
Fusion of Camera and Lidar Data for Large Scale Semantic Mapping
Thomas Westfechtel, Kazunori Ohno, Ranulfo Plutarco BEZERRA Neto, Shotaro Kojima, Satoshı Tadokoro · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
Active Perception Using Light Curtains for Autonomous Driving
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held · 2020 · Lecture notes in computer science
Training with synthetic images for object detection and segmentation in real machinery images
Alonso Cerpa, Graciela Meza-Lovon, Manuel E. Loaiza, Alberto Barbosa Raposo · 2020 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
Simulated Adversarial Testing of Face Recognition Models
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses
Hae‐Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong‐Geol Choi, Jean Oh, In So Kweon, Martial Hebert · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
A new approach for training a physics-based dehazing network using synthetic images
Neil Patrick Del Gallego, Joel Paz Ilao, Macario O. Cordel, Conrado R. Ruiz Jr. · 2022 · Signal Processing
Progressive Transformation Learning for Leveraging Virtual Images in Training
Yi‐Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
Qihao Liu, Adam Kortylewski, Alan Yuille · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
FEATS: Synthetic Feature Tracks for Structure from Motion Evaluation
Joseph DeGol, Jae Yong Lee, Rajbir Kataria, Daniel Yuan, Timothy Wolfe Bretl, Derek Hoiem · 2018 · International Conference on 3D Vision (3DV)
CrashCar101: Procedural Generation for Damage Assessment
Jens Parslov, Erik Riise, Dim P. Papadopoulos · 2024 · IEEE Winter Conference on Applications of Computer Vision
CARLA2Real: A Tool for Reducing the Sim2real Appearance Gap in CARLA Simulator
Stefanos Pasios, Nikos Nikolaidis · 2025 · IEEE Transactions on Intelligent Transportation Systems
Advancements in 3-D object detection: A comprehensive review
Wen-Jong Wu, Innocent Appiah, Rui Hu · 2025 · Journal of King Saud University - Computer and Information Sciences
Synthetic data for visual machine learning : A data-centric approach
Apostolia Tsirikoglou · 2022 · Linköping studies in science and technology. Dissertations
Robust appearance modeling for object detection and tracking: a survey of deep learning approaches
Alhassan Mumuni, Fuseini Mumuni · 2022 · Progress in Artificial Intelligence
Synthetic to Real Gap Estimation of Autonomous Driving Datasets using Feature Embedding
Nivesh Gadipudi, Irraivan Elamvazuthi, Mahindra Sanmugam, Lila Iznita Izhar, Tindyo Prasetyo, R. Jegadeeshwaran, Syed Saad Azhar Ali · 2022 · IEEE International Symposium in Robotics and Manufacturing Automation (ROMA)
A Review On Thermal Infrared Semantic Distribution for Nightfall Drive
Maheswari Bandi, S R Reeja · 2022 · International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)
A Non-Contact and Fast Estimating Method for Respiration Rate of Cows Using Machine Vision
Xiaoshuai Wang, Binghong Chen, Ruimin Yang, Kai Liu, Kaixuan Cuan, Mengbing Cao · 2023 · Agriculture
Self-supervised learning of monocular depth and ego-motion estimation for non-rigid scenes in wireless capsule endoscopy videos
Chao Liao, Chengliang Wang, Peng Wang, Hao Wu, Hongqiang Wang · 2024 · Biomedical Signal Processing and Control
Filling the Gaps: Using Synthetic Low-Altitude Aerial Images to Increase Operational Design Domain Coverage
Joachim Rüter, Theresa Maienschein, Sebastian Schirmer, Simon Schopferer, Christoph Torens · 2024 · Sensors
A Comprehensive Exploration of Fidelity Quantification in Computer-Generated Images
Alexandra Duminil, Sio-Song Ieng, Dominique Gruyer · 2024 · Sensors
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
Dmitry Ignatov, Andrey Ignatov, Radu Timofte · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification
Jichao Chen, Yijie Zeng, Siqi Wang, Soh Ling Min, Guang-Bin Huang · 2018 · International Joint Conference on Neural Networks (IJCNN)
Robustness and Deployability of Deep Object Detectors in Autonomous Driving
Ganesh Adam, Vibhav Chitalia, Namrata Simha, Asad Khalid Ismail, Shashikant Kulkarni, Vikram Narayan, Matthias Schulze · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
Camera Vignetting Model and its Effects on Deep Neural Networks for Object Detection
Kmeid Saad, Stefan-Alexander Schneider · 2019 · International Conference on Connected Vehicles and Expo
Efficient Shadow Detection and Removal using Synthetic Data with Domain Adaptation
Rui Guo, Babajide Odunitan Ayinde, Hao Sun · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
UAV Based Vehicle Detection on Real and Synthetic Image Pairs: Performance Differences and Influence Analysis of Context and Simulation Parameters
Michael Krump, Peter Stütz · 2022 · Lecture notes in computer science
Parallel Block Compressive LiDAR Imaging
Andreas Asmann, João F. C. Mota, Brian D. Stewart, Andrew Michael Wallace · 2022 · IEEE Transactions on Computational Imaging
3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling
Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi–Hsuan Tsai · 2022 · Lecture notes in computer science
Depth Is All You Need for Monocular 3D Detection
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
Semantic Segmentation for Autonomous Driving
Jingwei Yang, Sicen Guo, Mohammud Junaid Bocus, Qijun Chen, Rui Fan · 2023 · Advances in computer vision and pattern recognition
Cognitive Factories: Modeling Situated Entropy in Physical Work Carried Out by Humans and Robots
Stephen Fox, Adrian Kotelba, Ilkka Niskanen · 2018 · Entropy
Generation of synthetic training data for object detection in piles
Elvijs Buls, Roberts Kadiķis, Ričards Cacurs, Jānis Ārents · 2019 · International Conference on Machine Vision
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations
Yan Di, Henrique Morimitsu, Shan Gao, Xiangyang Ji · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
Dense Depth Posterior (DDP) from Single Image and Sparse Range
Yanchao Yang, Alex Wong, Stefano Soatto · 2019 · arXiv (Cornell University)
Real-Time Deep Learning Framework for Accurate Speed Estimation of Surrounding Vehicles in Autonomous Driving
Iván García‐Aguilar, Jorge García-González, Enrique Domínguez, Ezequiel López‐Rubio, Rafael Marcos Luque‐Baena · 2024 · Electronics
IPAD: Industrial Process Anomaly Detection Dataset
Jinfan Liu, Yichao Yan, Junjie Li, Weiming Zhao, Pengzhi Chu, Xingdong Sheng, Yunhui Liu, Xiaokang Yang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
FP-TTC: Fast Prediction of Time-to-Collision Using Monocular Images
Changlin Li, Yeqiang Qian, Songan Zhang, Chunxiang Wang, Ming Zhu Yang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
Construction of a virtual dataset of maritime search and rescue targets for unmanned aerial vehicles
Zhenqiang Zhao, Helong Shen, Xiao Liang, Lucai Wang, Bing Han · 2025 · Ocean Engineering
SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
Andrew Heschl, Mauricio Murillo, Keyhan Najafian, Farhad Maleki · 2025 · Lecture notes in computer science
Formulating an Engineering Framework for Future AI Certification in Aviation
Johann Maximilian Christensen, Thomas Stefani, Akshay Anilkumar Girija, Elena Hoemann, Andrea Vogt, Viktor Werbilo, Umut Durak, Frank Köster, Thomas Krüger, Sven Hallerbach · 2025 · Aerospace
Prior-assisted unpaired image dehazing framework for enhanced visibility in real-world hazy scenarios
Pengyang Ling, Haoxuan Wang, Huaian Chen, Yuxuan Gu, Yi Jin, Jinjin Zheng · 2025 · Expert Systems with Applications
HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds Processing
Jisheng Dang, Jun Yang · 2021 · Lecture notes in computer science
HIGCNN: Hierarchical Interleaved Group Convolutional Neural Networks for Point Clouds Analysis
Jisheng Dang, Jun Yang · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
SyDog-Video: A Synthetic Dog Video Dataset for Temporal Pose Estimation
Moira Shooter, Charles Malleson, Adrian Hilton · 2023 · International Journal of Computer Vision
Simulating City-Scale Aerial Data Collection Using Unreal Engine
Dhruv Agarwal, Taci Kucukpinar, Joshua Fraser, Jeffrey Kerley, Andrew R. Buck, Derek T. Anderson, Kannappan Palaniappan · 2023 · IEEE Applied Imagery Pattern Recognition Workshop
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
Yeonju Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim · 2024 · Lecture notes in computer science
STViT+: improving self-supervised multi-camera depth estimation with spatial-temporal context and adversarial geometry regularization
Zhuo Chen, Haimei Zhao, Xiaoshuai Hao, Bo Yuan, Xiu Li · 2025 · Applied Intelligence
On the utility of dreaming: A general model for how learning in artificial agents can benefit from data hallucination
David Windridge, Henrik Svensson, Serge Thill · 2020 · Adaptive Behavior
Semantic Segmentation Learning for Autonomous UAVs using Simulators and Real Data
Bianca-Cerasela-Zelia Blaga, S. Nedevschi · 2019 · International Conference on Computational Photography
Synthetic data generation based on local-foreground generative adversarial networks for surface defect detection
Bo Li, Xue Yuan, Minghan Shi · 2020 · Journal of Electronic Imaging
A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations
Yan Di, Henrique Morimitsu, Zhiqiang Lou, Xiangyang Ji · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
Training Deep Neural Networks with Synthetic Data for Off-Road Vehicle Detection
Eunchong Kim, Kanghyun Park, Hunmin Yang, Se-Yoon Oh · 2020 · International Conference on Control, Automation and Systems (ICCAS)
Energy Efficient Approximate 3D Image Reconstruction
Yun Wu, Andreas Asmann, Brian D. Stewart, Andrew Michael Wallace · 2021 · IEEE Transactions on Emerging Topics in Computing
Synthesizing 3D Gait Data with Personalized Walking Style and Appearance
Yao Cheng, Guichao Zhang, Sifei Huang, Zexi Wang, Xuan Cheng, Juncong Lin · 2023 · Applied Sciences
Towards a Unified Network for Robust Monocular Depth Estimation: Network Architecture, Training Strategy and Dataset
Mochu Xiang, Yuchao Dai, Feiyu Zhang, Jiawei Shi, Xinyu Tian, Zhensong Zhang · 2023 · International Journal of Computer Vision