| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Sat, 08 Nov 2025 00:40:34 GMT
access-control-allow-origin: *
etag: W/"690e9182-cbda"
expires: Tue, 30 Dec 2025 04:23:01 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 929D:2D64E0:985C7C:AB4626:6953514D
accept-ranges: bytes
age: 0
date: Tue, 30 Dec 2025 04:13:01 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210053-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767067981.278964,VS0,VE213
vary: Accept-Encoding
x-fastly-request-id: 852a2f64c81efed02a7cf8a237dc174757d7790f
content-length: 13280
Zhipeng Cai
蔡志鹏（Zhipeng Cai）
Senior Researcher at Meta, Menlo Park, California, USA.
Education: PhD of Computer Science at The University of Adelaide, Australia. Supervisor: Prof. Tat-Jun Chin & Prof. David Suter.
Email : czptc2h@gmail.com
Google Scholar
I have supervised Ph.D students/interns from various countries. Send me an email if you are interested in internships/collaborations.
Senior Researcher at Meta, Menlo Park, California, USA.
Education: PhD of Computer Science at The University of Adelaide, Australia. Supervisor: Prof. Tat-Jun Chin & Prof. David Suter.
Google Scholar
I have supervised Ph.D students/interns from various countries. Send me an email if you are interested in internships/collaborations.
About me
-
I am a senior researcher at Meta. I am interested in general CV/ML problems such as optimization, perception, and multi-modal generation. Several of my representative works have been selected as top-tier conference oral/spotlights. One of them has been selected as one of the 12 best papers at ECCV18. Beyond publication, I am also motivated to develop methods that have practical industrial impacts. I have led several projects that have 1) received considerable amount of github stars, 2) been featured by Intel company news or 3) selected as representative product live demos. I have won the 2024 best scholar award at Intel Labs.
News
-
Nov-2025: OmniEvent paper accepted to AAAI 2026! We propose a unified event representation learning architecture that for the first time achieves SOTA across various tasks without task-specific design. - Sep-2025: We release DepthLM, proving for the first time that VLMs can have comparable accuracy to pure vision models for metric depth estimation, without task-specific architecture or loss!
- Sep-2025: We release MonSter++, a unified architecture for Stereo Matching and Multi-View Stereo, reaching new SOTA on 8 benchmarks and has real-time speed!
- July-2025: Neuromorphic RANSAC paper accepted to ICCV 2025 workshop on Neuromorphic Vision (NeVi): Advantages and Applications of Event Cameras!
- Mar-2025: MonSter is selected as
CVPR 2025 highlight (<3% acceptance rate)! - Feb-2025: Paper accepted to CVPR2025 . Topic: Stereo Matching. Our method MonSter ranked the 1st across 5 widely used leaderboards, significantly advanced current SOTA!
- Dec-2024: Paper accepted to AAAI2025 . Topic: Lifelong visual localization.
- Nov-2024: I am starting a new position at Meta as a senior AI research scientist!
-
Sep-2024: Two papers accepted to NeurIPS2024 . Topic: 1) Articulated 3D generation; 2) Neuromorphic-based Optimization - Aug-2024: Metric3D v2 accepted to TPAMI!
- July-2024: LiSA featured by Intel Blog Post and Intel Labs Linedin!
- June-2024: L-MAGIC Huggingface Demo now available!
- June-2024: L-MAGIC featured by Intel Blog Post and Intel Labs Linedin!
- May-2024: L-MAGIC fully enabled at Intel Gaudi 2 and selected as one of the 5 Intel featured live demos at ISC HPC 2024 !
- May-2024: Paper accepted to ICML2024! Topic: Test Time Adaptation.
- Apr-2024: LiSA is selected as
CVPR 2024 highlight (3.6% acceptance rate)! - Feb-2024: GIM is featured at the Intel Blog Post .
- Jan-2024: Two papers accepted to CVPR2024 . Topic: 1) Anything-to-panorama using pre-trained LLMs to control 2D Diffusion models. 2) LiDAR localization with semantic knowledge distillation.
- Jan-2024: Paper accepted to ICLR2024 as
spotlight (top 5%). Topic: Zero-shot Image Matching. - Dec-2023: Paper accepted to AAAI2024 . Topic: Continual learning using simulated data.
- Oct-2023: Paper accepted to NeurIPS2023 workshop on diffusion models . Topic: Diffusion model for immersive scene generation.
- Sep-2023: Two Papers accepted to NeurIPS2023 . Topic: Event camera to point cloud registration, correspondence NeRF.
- Aug-2023: Paper accepted to IEEE Transactions on Geoscience and Remote Sensing (TGRS) . Topic: object detection in remote sensing images.
- July-2023: Two papers accepted to ICCV 2023 . Topic: 1. continual learning on NeRFs 2. zero-shot metric depth estimation.
- June-2023: Paper accepted to CVPR 2023 Workshop on Continual Learning in Computer Vision .
- May-2022: Co-organizing the ICRA 2022 Gereral Place Recognition Competition .
- July-2021: Paper accepted to ICCV2021 ! Topic: online continual learning.
- Sep-2020: Got my Ph.D degree (my thesis was awarded the Dean’s Commendation for Doctoral Thesis Excellence)! Now a postdoc at Intel Intelligent Systems Lab.
- June-2020: Served as a "wingman" during TJ's RANSAC CVPR 2020 Tutorial . Find me here
- July-2019: Paper accepted to IJCV Special Issue on Best of ECCV 2018
- July-2019: Paper accepted as
oral (4.6% acceptance rate) to ICCV2019 ! Subject: robust fitting. - Jan-2019 to July-2019: Internship at Intel Intelligent Systems Lab at Silicon Valley. Working with Dr. Vladlen Koltun.
- Nov-2018: Paper "Robust fitting in computer vision: easy or hard?" has been selected as
one of the 12 best papers of ECCV2018 (0.4% acceptance rate) - Nov-2018: Paper accepted to ISPRS Journal of Photogrammetry and Remote Sensing . Subject: point cloud registration.
- July-2018: Two papers accepted as
oral (2.4% acceptance rate) to ECCV2018 ! Subject: robust fitting.
Award
- 2025 CVPR25
highlight (<3% acceptance rate) - 2024 Intel Labs Best Scholar Award (Recognizing the person with the highest overall publication quantity and quality over the year, throughout the whole company.)
- 2024 CVPR24
highlight (3.6% acceptance rate) - 2024 ICLR24
spotlight (5% acceptance rate) - 2020 Dean’s Commendation for Doctoral Thesis Excellence
- 2019 ICCV19
oral (4.6% acceptance rate) - 2018 One of the 12
best papers in ECCV'2018 (0.4% acceptance rate) - 2018 ECCV18
oral (2.4% acceptance rate) - 2018 ECCV18
oral (2.4% acceptance rate) - 2018 Ranked the first 30th in the Ranking List of 2018 Potential Computer Vision Developers
- 2016 Excellent Master Degree Graduation Thesis
- 2013 Excellent Bachelor Degree Graduation Thesis
- 2013 The CCF Outstanding Undergraduate Award
- 2012 The Meritorious Winner of 2012 Mathematical Contest In Modeling Certificate of Achievement
Publication (Check the ArXiv version for modifications after publication)
2025
DepthLM: Metric Depth From Vision Language Models
Zhipeng Cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory P. Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen Li, Vikas Chandra, Yangyang Shi
[ArXiv] [Code] [Huggingface Model]
Zhipeng Cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory P. Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen Li, Vikas Chandra, Yangyang Shi
[ArXiv] [Code] [Huggingface Model]
[ICCVW25] Event-driven Robust Fitting on Neuromorphic Hardware
Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
[ArXiv]
Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
[ArXiv]
[AAAI25] ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li+, Zhipeng Cai+, *, Bochun Yang, Xuelun Shen, Siqi Shen, Xiaoliang Fan, Michael Paulitsch, Cheng Wang*
+: Equal contribution, *: Equal corresponding author.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
[Paper] [Code]
Zijun Li+, Zhipeng Cai+, *, Bochun Yang, Xuelun Shen, Siqi Shen, Xiaoliang Fan, Michael Paulitsch, Cheng Wang*
+: Equal contribution, *: Equal corresponding author.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
[Paper] [Code]
2024
[NeurIPS24] MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
Quentin Leboutet, Nina Wiedemann, Zhipeng Cai , Michael Paulitsch, Kai Yuan
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2024
[Paper] [Code] [Project page]
Quentin Leboutet, Nina Wiedemann, Zhipeng Cai , Michael Paulitsch, Kai Yuan
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2024
[Paper] [Code] [Project page]
[NeurIPS24]Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai , Tat-Jun Chin
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2024
[Paper]
Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai , Tat-Jun Chin
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2024
[Paper]
[TPAMI] Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
Mu Hu, Wei Yin, Chi Zhang, Zhipeng Cai , Xiaoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, Shaojie Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
[ArXiv preprint] [Project page] [Code] [Huggingface Demo]
Mu Hu, Wei Yin, Chi Zhang, Zhipeng Cai , Xiaoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, Shaojie Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
[ArXiv preprint] [Project page] [Code] [Huggingface Demo]
[ICML24] Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai , Matthias Müller, Bernard Ghanem
Forty-first International Conference on Machine Learning (ICML) 2024
[ArXiv preprint] [Code]
Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai , Matthias Müller, Bernard Ghanem
Forty-first International Conference on Machine Learning (ICML) 2024
[ArXiv preprint] [Code]
[CVPR24] L-MAGIC: Language Model Assisted Generation of Images with Coherence
Zhipeng Cai , Matthias Müller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, JunDa Cheng, Gabriela Ben-Melech Stan, Vasudev Lal, Michael Paulitsch
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
[Paper] [Project page] [Code] [Huggingface Demo] [Intel Featured Blog] [Intel Labs Linedin]
Zhipeng Cai , Matthias Müller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, JunDa Cheng, Gabriela Ben-Melech Stan, Vasudev Lal, Michael Paulitsch
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
[Paper] [Project page] [Code] [Huggingface Demo] [Intel Featured Blog] [Intel Labs Linedin]
[CVPR24 highlight (top 3.6%) ] LiSA: LiDAR Localization with Semantic Awareness
Bochun Yang, Zijun Li, Wen Li, Zhipeng Cai * , Chenglu Wen, Yu Zang, Matthias Müller, Cheng Wang *
*: Equal corresponding author
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
[Paper] [Code] [Intel Featured Blog] [Intel Labs Linedin]
Bochun Yang, Zijun Li, Wen Li, Zhipeng Cai * , Chenglu Wen, Yu Zang, Matthias Müller, Cheng Wang *
*: Equal corresponding author
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
[Paper] [Code] [Intel Featured Blog] [Intel Labs Linedin]
[ICLR24 highlight (top 5%) ] GIM: Learning Generalizable Image Matcher From Internet Videos
Xuelun Shen+, Zhipeng Cai+, *, Wei Yin+, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang*
+: Equal contribution, *: Equal corresponding author.
Twelfth International Conference on Learning Representations (ICLR 2024)
[ArXiv preprint] [Project page] [Code] [Huggingface Demo] [Intel Blog Post]
Xuelun Shen+, Zhipeng Cai+, *, Wei Yin+, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang*
+: Equal contribution, *: Equal corresponding author.
Twelfth International Conference on Learning Representations (ICLR 2024)
[ArXiv preprint] [Project page] [Code] [Huggingface Demo] [Intel Blog Post]
2023
[AAAI24] SimCS: Simulation for Online Domain-Incremental Continual Segmentation
Motasem Alfarra, Zhipeng Cai , Adel Bibi, Bernard Ghanem, Matthias Muller
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024)
[ArXiv preprint]
Motasem Alfarra, Zhipeng Cai , Adel Bibi, Bernard Ghanem, Matthias Muller
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024)
[ArXiv preprint]
[NeurIPSW 23] LDM3D-VR: Latent Diffusion Model for 3D VR
Gabriela Ben-Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai , Michael Paulitsch, Vasudev Lal
NeurIPS 2023 Workshop on Diffusion Models
[Paper]
Gabriela Ben-Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai , Michael Paulitsch, Vasudev Lal
NeurIPS 2023 Workshop on Diffusion Models
[Paper]
[NeurIPS23] CorresNeRF: Image Correspondence Priors for Neural Radiance Fields.
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao.
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
[Paper]
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao.
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
[Paper]
[NeurIPS23] E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
[Paper] [Code]
Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
[Paper] [Code]
[TGRS] GSDDet: Ground Sample Distance Guided Object Detection for Remote Sensing Images
Yunuo Yang, Zhipeng Cai , Pinqing Song, Yu Zang, Guanjie Huang, Ming Cheng, Cheng Wang
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
[Paper]
Yunuo Yang, Zhipeng Cai , Pinqing Song, Yu Zang, Guanjie Huang, Ming Cheng, Cheng Wang
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
[Paper]
[ICCV23] Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai , Xiaozhi Chen, Kaixuan Wang, Gang Yu, Chunhua Shen
International Conference on Computer Vision (ICCV) 2023
[ArXiv preprint] [Code]
Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai , Xiaozhi Chen, Kaixuan Wang, Gang Yu, Chunhua Shen
International Conference on Computer Vision (ICCV) 2023
[ArXiv preprint] [Code]
Online Continual Learning Without the Storage Constraint
Ameya Prabhu, Zhipeng Cai , Puneet Dokania, Philip Torr, Vladlen Koltun, Ozan Sener
[ArXiv preprint] [Code]
Ameya Prabhu, Zhipeng Cai , Puneet Dokania, Philip Torr, Vladlen Koltun, Ozan Sener
[ArXiv preprint] [Code]
2022
[CVPRW23] SimCS: Simulation for Online Domain-Incremental Continual Segmentation
Motasem Alfarra, Zhipeng Cai , Adel Bibi, Bernard Ghanem, Matthias Muller
CVPR Workshop on Continual Learning (CLVision) 2023
[ArXiv preprint]
Motasem Alfarra, Zhipeng Cai , Adel Bibi, Bernard Ghanem, Matthias Muller
CVPR Workshop on Continual Learning (CLVision) 2023
[ArXiv preprint]
Improving Information Retention in Large Scale Online Continual Learning
Zhipeng Cai, Vladlen Koltun, Ozan Sener
[ArXiv preprint]
Zhipeng Cai, Vladlen Koltun, Ozan Sener
[ArXiv preprint]
2021
[ICCV21] Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai, Ozan Sener, Vladlen Koltun
International Conference on Computer Vision (ICCV) 2021
[ArXiv preprint] [Code]
Zhipeng Cai, Ozan Sener, Vladlen Koltun
International Conference on Computer Vision (ICCV) 2021
[ArXiv preprint] [Code]
2020
Consensus Maximization: Theoretical Analysis and New Algorithms
Zhipeng Cai
Ph.D thesis (Supervised by: Prof. Tat-Jun Chin and Prof. David Suter)
[PDF]
Zhipeng Cai
Ph.D thesis (Supervised by: Prof. Tat-Jun Chin and Prof. David Suter)
[PDF]
[ECCV20] Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World
Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu, Yun-Hui Liu
European Conference on Computer Vision (ECCV) 2020
[Paper]
Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu, Yun-Hui Liu
European Conference on Computer Vision (ECCV) 2020
[Paper]
2019
[IJCV] Robust fitting in computer vision: easy or hard?
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
International Journal on Computer Vision (IJCV),Special Issue on Best of ECCV 2018 .
[Paper]
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
International Journal on Computer Vision (IJCV),
[Paper]
[ICCV19 oral (top 4.6%) ] Consensus Maximization Tree Search Revisited
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
International Conference on Computer Vision (ICCV) 2019
[Arxiv preprint] [Code]
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
International Conference on Computer Vision (ICCV) 2019
[Arxiv preprint] [Code]
[ISPRSJ] Practical Optimal Registration of Terrestrial LiDAR Scan Pairs
Zhipeng Cai, Tat-Jun Chin, Alvaro Parra Bustos, Konrad Schindler
ISPRS Journal of Photogrammetry and Remote Sensing, 2019.
[Arxiv preprint] [PDF] [Code]
Zhipeng Cai, Tat-Jun Chin, Alvaro Parra Bustos, Konrad Schindler
ISPRS Journal of Photogrammetry and Remote Sensing, 2019.
[Arxiv preprint] [PDF] [Code]
2018
[ECCV18 oral (top 2.4%) ] Deterministic consensus maximization with biconvex programming
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
European Conference on Computer Vision (ECCV) 2018
[Arxiv preprint] [Code] [Slides]
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
European Conference on Computer Vision (ECCV) 2018
[Arxiv preprint] [Code] [Slides]
[ECCV18 oral (top 2.4%) ] Robust fitting in computer vision: easy or hard?
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
European Conference on Computer Vision (ECCV) 2018
Selected as one of the 12 best papers from the conference (0.4% acceptance rate)
[Arxiv preprint] [Slides]
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
European Conference on Computer Vision (ECCV) 2018
[Arxiv preprint] [Slides]
2016
Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data
Chenglu Wen, Jonathan Li, Huan Luo, Yongtao Yu, Zhipeng Cai, Hanyun Wang, Cheng Wang
IEEE Transactions on Intelligent Transportation Systems, 2016
[PDF]
Chenglu Wen, Jonathan Li, Huan Luo, Yongtao Yu, Zhipeng Cai, Hanyun Wang, Cheng Wang
IEEE Transactions on Intelligent Transportation Systems, 2016
[PDF]
Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds
Huan Luo, Cheng Wang, Chenglu Wen, Zhipeng Cai, Ziyi Chen, Hanyun Wang, Yongtao Yu, Jonathan Li
IEEE Transactions on Intelligent Transportation Systems, 2016
[PDF]
Huan Luo, Cheng Wang, Chenglu Wen, Zhipeng Cai, Ziyi Chen, Hanyun Wang, Yongtao Yu, Jonathan Li
IEEE Transactions on Intelligent Transportation Systems, 2016
[PDF]
2015
Occluded Boundary Detection for Small-footprint Ground-borne LIDAR Point Cloud Guided by Last-echo
Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li
IEEE Geoscience and Remote Sensing Letters, 2015
[PDF]
Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li
IEEE Geoscience and Remote Sensing Letters, 2015
[PDF]
3D-PatchMach: an Optimization Algorithm for Point Cloud Completion
Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li
Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM2015)
[PDF]
Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li
Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM2015)
[PDF]
2012
Automatic road extraction from mobile laser scanning data
Hanyun Wang, Zhipeng Cai, Huan Luo, Cheng Wang, Peng Li, Wentao Yang, Suoping Ren, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Hanyun Wang, Zhipeng Cai, Huan Luo, Cheng Wang, Peng Li, Wentao Yang, Suoping Ren, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Scale invariant kernel-based object tracking
Peng Li, Zhipeng Cai, Hanyun Wang, Zhuo Sun, Yunhui Yi, Cheng Wang, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Peng Li, Zhipeng Cai, Hanyun Wang, Zhuo Sun, Yunhui Yi, Cheng Wang, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Cascade framework for object extraction in image sequences
Peng Li, Zhipeng Cai, Cheng Wang, Zhuo Sun, Hanyun Wang, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Peng Li, Zhipeng Cai, Cheng Wang, Zhuo Sun, Hanyun Wang, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Patent:
1. Interactive three-dimensional point cloud color editing method. Publication number: CN 103489224 A
2. Three-dimensional point cloud auto-completion method. Publication number: CN 104063898 A
3. Technology to conduct continual learning of neural radiance fields
4. Language model assisted generation of images with coherence
Supervised students/interns
Ashish Seth
University of Maryland
Junda Cheng
HUST
Tam Nguyen
University of Adelaide
Xuelun Shen
Xiamen University
Yixing Lao
University of Hong Kong
Motasem Alfarra
KAUST
Ameya Prabhu
University of Oxford
Working experience
- Jan-2019 to June-2020: Internship at Intel Intelligent Systems Lab at Santa Clara, CA, USA. Working with Dr. Vladlen Koltun.
- July-2020 to May-2022: Postdoc at Intel Intelligent Systems Lab at Santa Clara, CA, USA. Working with Dr. Vladlen Koltun.
- June-2022 to Nov-2024: Staff Research scientist at Intel Embodied AI Lab at Santa Clara, CA, USA.
- Nov-2024 to Now: Senior AI Research scientist at Meta, Menlo Park, CA, USA.
Last Updated on 22th Nov, 2016
Published with GitHub Pages
Contact GitHub API Training Shop Blog About © 2016 GitHub, Inc. Terms Privacy Security Status Help