Welcome to Saeed Anwar Homepage
In academia, I was a Visiting Fellow at the University of Technology Sydney (UTS), an assistant professor at King Fahad University of Petroleum & Minerals (KFUPM), and a Fellow at JRCAI. I also served at the National University of Computer and Emerging Sciences (NUCES) and Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI).
In industry, I was a Research Scientist at Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO). I was a fellow at SDAIA's Joint Research Center of AI (JRCAI). Moreover, I was involved in various projects with National ICT Australia (NICTA). Before, I worked on a medical-related project with Toshiba Medical Visualization Systems Europe (TMVSE) in Scotland and simulated sonar sensors for transparent object detection at Pal Robotics, Barcelona. During my undergraduate studies, I gained experience in technology and research roles, starting with the telecommunication industry.
Education
2014/05 - 2018/04, I hold a PhD from the Australian National University, where I studied at the College of Engineering & Computer Science. I conducted doctoral research within the Computer Vision Research Group (CVRG) at Data61 (previously known as NICTA), CSIRO.
2010/09 - 2012/08, Prior to my PhD, I pursued a Master's degree in Computer Vision and Robotics (Vibot) through a collaborative program involving the Heriot-Watt University, the University of Girona and the University of Bourgogne.
2004/09 - 2008/08, My academic journey began with a Bachelor of Science in Computer Systems Engineering from the University of Engineering and Technology (UET), Peshawar.
Open Positions:
I am looking for PhD students and Master students who want to conduct research and develop advanced deep learning algorithms for image and video enhancement and restoration, 3D Point Clouds, computational imaging, computer vision and Machine learning applications.
Recent News:
- An article is accepted in Drones [IF: 4.4]. [Nov'24]
- One paper accepted in ACCV. [Oct'24]
- 2x Surveys in Information Fusion [IF: 14.7] are accepted. [Oct'24]
- AI Review [IF: 10.7] has accepted our survey on 3D object recognition. [Sep'24]
- 2x papers are in DICTA [August'24]
- A paper hit on ICPR [August'24]
- 2x Papers accepted in ACM MM [July'24]
- ICIP accepted our paper [June'24]
- A Papers accepted in AVSS [May'24]
- 2x Papers accepted in CVPR Workshops. One Poster and One Oral [April'24]
- Attention Survey is accepted in Infurmation Fusion (IF:18.6) [April'24]
- PSGNN is accepted by TNNLS (IF:10.4) [March'24]
- The dataset for testing LLMs: definitive answers DefAn is here. [Sep'24]
- AllWeatherNet is released. [Sep'24]
- Code for ADTRS is available. [April'24]
- SelectiveMV's all information is on github now. [March'24]
- Code, Models and Results are now available for Partial2Complete. [Sept'23]
- SSID is released. [April'23]
- Code, Models and Results are now available for PointCam. [Feb'23]
- Latent-Transport-UPCN code and models are now available. [Dec'22]
- FGBR dataset now available. [Sep'22]
- All codes and models for Angular Skeleton Encoding are now available. [Mar'22]
- R2Netall codes and models released. [Dec'21]
- Attentional 3D Object Detection codes and models are available. [Oct'21]
- UColor code, train models and results are now available. [May'21]
- The code, dataset for InvDN released. [May'21]
- GBNet code and train models are available. [Apr'21]
- Code for CWR released. [Mar'21]
- Code for DRNet released. [Mar'21]
- Code, Results and Dataset available for DDNet. [Feb'21]
- Code and Results available for R2Net. [Nov'20]
- Download our Natural-Color Dataset (NCD) in our Colorization Survey. [Nov'20]
- Code and Results for IERD released. [Nov'20]
- Code for IRAE now available. [Nov'20]
- Code for GradNet now available. [Oct'20]
- Code and trained networks for FGSE released. [Sept'20]
- COVID19 Baseline code/trained models released [July'20]
- Code for UC-Net released. [June'20]
- Code and dataset for CoinNet released. [May'20]
- Code for UWCNN released. [Nov'19]
- Code and Results for DRLN released. [Sept'19]
- Code and Results for RIDNet released. [Sept'19]
- Codes released for all papers. [Jul'18]