Paper accepted at ICASSP 2022
Our paper titled “Camera Calibration through Camera Projection Loss” accepted at ICASSP 2022.
This work was an outcome of MS Thesis by Talha Hanif Butt
More info: Click here
Our paper titled “Camera Calibration through Camera Projection Loss” accepted at ICASSP 2022.
This work was an outcome of MS Thesis by Talha Hanif Butt
More info: Click here
Three papers have been accepted at “International Conference on Neural Information Processing – 19 (ICONIP-19)”. This conference is ranked A by the CORE rating measure and is going to be held from 12th to 15th December 2019 in Sydney, Australia. “Cross-view Image Retrieval – Ground to Aerial Image Retrieval through Deep Learning” “Patch-based Generative Adversarial Network…
Our paper titled “Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery” accepted at ICONIP 2023. This work was an outcome of PhD Thesis by Sana Jabbar More info: Click here
Our paper titled “An exploratory deep learning approach to investigate tuberculosis pathogenesis in nonhuman primate model: Combining automated radiological analysis with clinical and biomarkers data” accepted at Journal of Medical Primatology. This work was an outcome of work by Faisal Yaseen More info: Click here
M Haris Baig, who did his senior project in CV lab and also is a co-author on our ICCV 2011 paper, has received a fully funded PhD offer from Univ of Dartmouth, where he will be joining this Fall. He will be working with Lorenzo Torresani, who has pioneering work in the field of nonrigid…
“Using 3D Residual Network For Spatio-Temporal Analysis Of Remote Sensing Data”, “Adaptively Weighted Multi-Task Learning Using Inverse Validation Loss” and “Point Cloud Segmentation Using Hierarchical Tree for Architectural Models” have been accepted in “IEEE International Conference on Acoustic Speech and Signal Processing. This conference is going to be held from 12th to 17th May 2019…
Content Based Image Retrieval Using Hand Crafted Features Asim Waheed, Khawaja Umair Ul Hassan The project involved solving the Cross-View image matching problem between Satellite view images and Street view images. Many hand-crafted features were calculated, such as Histogram, HOG, Bag of Visual Words and VLAD using SIFT and SURF descriptors. The compiled features would…