by Martina Megaro | Jul 22, 2017 | Machine Learning, Video Processing, Visual Computing
One-Shot Metric Learning for Person Re-identification The proposed one-shot learning achieves performance that is competitive with supervised methods but uses only a single example rather than the hundreds required for the fully supervised case. July 22, 2017IEEE...
by Martina Megaro | Jul 22, 2017 | Capture, Visual Computing
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light We propose a novel calibration method based on the usage of directionally encoded light rays for estimating the intrinsic parameters. July 22, 2017IEEE Conference...
by Martina Megaro | Jul 21, 2017 | AR/VR, Machine Learning, Story Technology, Visual Computing
Weakly-supervised Visual Grounding of Phrases with Linguistic Structures We propose a weakly-supervised approach that takes image-sentence pairs as input and learns to visually ground (i.e., localize) arbitrary linguistic phrases, in the form of spatial attention...
by Martina Megaro | Jul 21, 2017 | Animation, Visual Computing
Authoring Motion Cycles Our system allows the user to act several loops of motion using a variety of capture devices and automatically extracts a looping cycle from this potentially noisy input. July 21, 2017 IEEE Conference on Computer Vision and Pattern...
by Martina Megaro | Jul 20, 2017 | Rendering, Visual Computing
Spectral and Decomposition Tracking for Rendering Heterogeneous Volumes We present two novel unbiased techniques for sampling free paths in heterogeneous participating media. July 20, 2017ACM SIGGRAPH 2017 AuthorsPeter Kutz (Walt Disney Animation Studios)Ralf Habel...
