Abir Das from University of California, Riverside gave a talk on Consistent and Online Re-identification in Vision Networks on CFAR seminar. Summary In computer vision, person re-identification is the task of identifying and monitoring people moving across a number of non-overlapping cameras. Several factors like significant changes in viewing angle, lighting, background clutter, and occlusion cause features…
Discussion: Startups in Computer Vision
I mainly translated and summarized several people’s discussion from this reference in Chinese. I don’t agree with all of the points and I added some of my own views. To be modest, I still believe in startups like SenseTime, Face++, Cogtu, Linkface, DeepGlint etc. What we discuss here may be a joke for the future. But…
[Talk] Sketch-based 3D Shape Retrieval using Convolutional Neural Networks
Today in CFAR seminar, Dr. Yi Li and his student Fang Wang from Australian National University ented the work on Sketch-based 3D Shape Retrieval using Convolutional Neural Networks. Here is the paper in arXiv. Here is my summary: Yet-another-CNN-application The question for superior performance What if I don’t have 100 GPUs like Google / Facebook? What if I don’t…
[Summary] DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time – CVPR 2015 Best Paper
It is not surprising for me to learn that Richard Newcombe, Dieter Fox, Steve Seitz won the best paper award by DynamicFusion in CVPR 2015. UW really rocks in the 3D reconstruction field. Summary First let’s read the abstract of the paper: We present the first dense SLAM system capable of reconstructing non-rigidly deforming scenes in…
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