If you are looking for more information about CS535 Pattern Recognition graduate course, head here.
This semester, we will be using a brand new textbook by K.P. Murphy, “Probabilistic Machine Learning: An Introduction”. … Read the rest
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
This is a joint work by Jiatong Li, Fangda Han, Ricardo Guerrero and Vladimir Pavlovic. The paper is accepted by the 25th International Conference on Pattern Recognition (ICPR 2020).
Abstract
Increased awareness of the impact of food consumption on health … Read the rest
New NSF Grant: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
Happy to announce that we have been recently awarded a new NSF grant:
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
This $1M grant from the Division of Information & Intelligent Systems / Robust Intelligence … Read the rest
CookGAN recognized by the CV/ML community
I’m very glad to have our work CookGAN recognized by the CV/ML community SyncedReview on Medium! We are working on building a demo webpage for it.
CookGAN: Meal Image Synthesis from Ingredients
Following the previous work that generates meal image from ingredients, we extends it with more experiments in our new paper that has been accepted by WACV 2020.
Paper
Arxiv: https://arxiv.org/abs/2002.11493
- F. Han, R. Guerrero, and V. Pavlovic, “CookGAN: Meal Image
Samsung Best Paper Award 2019
Proud to have received a Samsung Best Paper Award for 2019 with my team at SAIC Cambridge.
Although only Minyoung and I are listed as the recipients, this work would not have been possible without my students Pritish Sahu … Read the rest
Keynote at 1st Chengdu International Forum on Frontier Medicine
Honored to give a keynote on AI & Nutrition at the 1st Chengdu Int’l Forum on Frontier Medicine.
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images
This is a joint work by Jiatong Li, Ricardo Guerrero and Vladimir Pavlovic. The paper is accepted by the 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa), ACM International Conference on Multimedia (ACMMM2019).
Abstract
In this paper, we study … Read the rest
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation
This is a joint work by Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Our new paper on Domain Adaptation was accepted in Multi-Discipline Approach for Learning Concepts – Zero-Shot, One-Shot, Few-Shot, and Beyond and Beyond Workshop in conjunction with ICCV 2019.
Abstract
… Read the restFast Adaptation of Deep Models for Facial Action Unit Detection Using Model-Agnostic Meta-Learning
Mihee Lee, Ognjen (Oggi) Rudovic, Vladimir Pavlovic, and Maja Pantic
Abstract
Detecting facial action units (AU) is one of the fundamental steps in automatic recognition of facial expression of emotions and cognitive states. Though there have been a variety of … Read the rest